diff --git a/.github/workflows/linters.yml b/.github/workflows/linters.yml
index 62d1bae0f..ab2526270 100644
--- a/.github/workflows/linters.yml
+++ b/.github/workflows/linters.yml
@@ -14,7 +14,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: '3.9'
+          python-version: '3.11'
       - run: python -m pip install flake8
       - uses: liskin/gh-problem-matcher-wrap@a89a18291dcde8d4e6158adf736b5432987bbf95
         with:
@@ -26,7 +26,7 @@ jobs:
       - uses: actions/checkout@v4
       - uses: actions/setup-python@v4
         with:
-          python-version: '3.9'
+          python-version: '3.11'
       - run: python -m pip install isort==5.*
       - uses: liskin/gh-problem-matcher-wrap@a89a18291dcde8d4e6158adf736b5432987bbf95
         with:
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index c97971f25..60cb22021 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,7 +1,7 @@
 # See https://pre-commit.com for more information
 # See https://pre-commit.com/hooks.html for more hooks
 default_language_version:
-    python: python3.9
+    python: python3.11
 repos:
 -   repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v4.4.0
diff --git a/frontend/src/components/Workspace/FlowChart/FlowChartNode/FlowChartUtils.ts b/frontend/src/components/Workspace/FlowChart/FlowChartNode/FlowChartUtils.ts
index 23b3b9d4b..2cb95a60e 100644
--- a/frontend/src/components/Workspace/FlowChart/FlowChartNode/FlowChartUtils.ts
+++ b/frontend/src/components/Workspace/FlowChart/FlowChartNode/FlowChartUtils.ts
@@ -15,6 +15,8 @@ export function isValidConnection(connection: Connection) {
     // NOTE: SpikingActivityData is the same as FluoData. Just renamed for suite2p_spike_deconv.
     if (source === "SpikingActivityData") {
       return target === "FluoData" || target === "SpikingActivityData"
+    } else if (target === "BaseData" || source === "BaseData") {
+      return true
     } else {
       return source === target
     }
diff --git a/poetry.lock b/poetry.lock
index fe8bb1906..69be34914 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "aiofiles"
@@ -56,7 +56,6 @@ files = [
 ]
 
 [package.dependencies]
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
 
@@ -79,38 +78,38 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "24.3.0"
+version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
-    {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
+    {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
+    {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
 ]
 
 [package.extras]
 benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
-docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
 tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
 
 [[package]]
 name = "babel"
-version = "2.16.0"
+version = "2.17.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "doc"]
 files = [
-    {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"},
-    {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"},
+    {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
+    {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
 ]
 
 [package.extras]
-dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
 
 [[package]]
 name = "black"
@@ -146,8 +145,6 @@ mypy-extensions = ">=0.4.3"
 packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
@@ -157,14 +154,14 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "cachecontrol"
-version = "0.14.2"
+version = "0.14.3"
 description = "httplib2 caching for requests"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "cachecontrol-0.14.2-py3-none-any.whl", hash = "sha256:ebad2091bf12d0d200dfc2464330db638c5deb41d546f6d7aca079e87290f3b0"},
-    {file = "cachecontrol-0.14.2.tar.gz", hash = "sha256:7d47d19f866409b98ff6025b6a0fca8e4c791fb31abbd95f622093894ce903a2"},
+    {file = "cachecontrol-0.14.3-py3-none-any.whl", hash = "sha256:b35e44a3113f17d2a31c1e6b27b9de6d4405f84ae51baa8c1d3cc5b633010cae"},
+    {file = "cachecontrol-0.14.3.tar.gz", hash = "sha256:73e7efec4b06b20d9267b441c1f733664f989fb8688391b670ca812d70795d11"},
 ]
 
 [package.dependencies]
@@ -178,26 +175,26 @@ redis = ["redis (>=2.10.5)"]
 
 [[package]]
 name = "cachetools"
-version = "5.5.1"
+version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "cachetools-5.5.1-py3-none-any.whl", hash = "sha256:b76651fdc3b24ead3c648bbdeeb940c1b04d365b38b4af66788f9ec4a81d42bb"},
-    {file = "cachetools-5.5.1.tar.gz", hash = "sha256:70f238fbba50383ef62e55c6aff6d9673175fe59f7c6782c7a0b9e38f4a9df95"},
+    {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
+    {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
 ]
 
 [[package]]
 name = "certifi"
-version = "2024.12.14"
+version = "2025.4.26"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "doc"]
 files = [
-    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
-    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
+    {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"},
+    {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"},
 ]
 
 [[package]]
@@ -295,116 +292,116 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.1"
+version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "doc"]
 files = [
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-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e218488cd232553829be0664c2292d3af2eeeb94b32bea483cf79ac6a694e037"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:80ed5e856eb7f30115aaf94e4a08114ccc8813e6ed1b5efa74f9f82e8509858f"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b010a7a4fd316c3c484d482922d13044979e78d1861f0e0650423144c616a46a"},
-    {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4532bff1b8421fd0a320463030c7520f56a79c9024a4e88f01c537316019005a"},
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 [[package]]
 name = "click"
-version = "8.1.8"
+version = "8.2.1"
 description = "Composable command line interface toolkit"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.10"
 groups = ["main", "dev"]
 files = [
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 [package.dependencies]
@@ -412,14 +409,14 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "codespell"
-version = "2.4.0"
+version = "2.4.1"
 description = "Fix common misspellings in text files"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
 files = [
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 ]
 
 [package.extras]
@@ -439,33 +436,36 @@ files = [
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 ]
-markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "platform_system == \"Windows\"", test = "sys_platform == \"win32\""}
+markers = {main = "sys_platform == \"win32\" or platform_system == \"Windows\"", dev = "platform_system == \"Windows\"", test = "sys_platform == \"win32\""}
 
 [[package]]
 name = "concurrent-log-handler"
-version = "0.9.25"
-description = "RotatingFileHandler replacement with concurrency, gzip and Windows support"
+version = "0.9.28"
+description = "RotatingFileHandler replacement with concurrency, gzip and Windows support. Size and time based rotation."
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
 portalocker = ">=1.6.0"
 
+[package.extras]
+dev = ["black", "coverage", "hatch", "pytest", "pytest-cov", "pytest-mock", "pytest-sugar", "ruff"]
+
 [[package]]
 name = "configargparse"
-version = "1.7"
+version = "1.7.1"
 description = "A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables."
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 groups = ["main"]
 files = [
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 ]
 
 [package.extras]
@@ -485,77 +485,69 @@ files = [
 
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-version = "1.3.0"
+version = "1.3.2"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
-python-versions = ">=3.9"
-groups = ["main"]
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 ]
 
 [package.dependencies]
@@ -564,58 +556,68 @@ numpy = ">=1.23"
 [package.extras]
 bokeh = ["bokeh", "selenium"]
 docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"]
+mypy = ["bokeh", "contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.15.0)", "types-Pillow"]
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
 
 [[package]]
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 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
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 ]
 
 [package.dependencies]
-cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
+cffi = {version = ">=1.14", markers = "platform_python_implementation != \"PyPy\""}
 
 [package.extras]
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-nox = ["nox"]
-pep8test = ["check-sdist", "click", "mypy", "ruff"]
-sdist = ["build"]
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+docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"]
+nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2) ; python_full_version >= \"3.8.0\""]
+pep8test = ["check-sdist ; python_full_version >= \"3.8.0\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
+sdist = ["build (>=1.0.0)"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi", "cryptography-vectors (==43.0.3)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi (>=2024)", "cryptography-vectors (==45.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -728,14 +730,14 @@ files = [
 
 [[package]]
 name = "ecdsa"
-version = "0.19.0"
+version = "0.19.1"
 description = "ECDSA cryptographic signature library (pure python)"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.6"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.6"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -761,22 +763,6 @@ files = [
 dnspython = ">=2.0.0"
 idna = ">=2.0.0"
 
-[[package]]
-name = "exceptiongroup"
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-description = "Backport of PEP 654 (exception groups)"
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-groups = ["main", "test"]
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-
 [[package]]
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 version = "0.104.1"
@@ -849,14 +835,14 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "filelock"
-version = "3.17.0"
+version = "3.18.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
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 [[package]]
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-version = "6.6.0"
+version = "6.8.0"
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 [package.dependencies]
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+    {file = "fonttools-4.58.2-cp39-cp39-win_amd64.whl", hash = "sha256:c8d16973f8ab02a5a960afe1cae4db72220ef628bf397499aba8e3caa0c10e33"},
+    {file = "fonttools-4.58.2-py3-none-any.whl", hash = "sha256:84f4b0bcfa046254a65ee7117094b4907e22dc98097a220ef108030eb3c15596"},
+    {file = "fonttools-4.58.2.tar.gz", hash = "sha256:4b491ddbfd50b856e84b0648b5f7941af918f6d32f938f18e62b58426a8d50e2"},
 ]
 
 [package.extras]
@@ -1084,69 +1062,63 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.
 
 [[package]]
 name = "google-api-core"
-version = "2.24.0"
+version = "2.25.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "google_api_core-2.24.0-py3-none-any.whl", hash = "sha256:10d82ac0fca69c82a25b3efdeefccf6f28e02ebb97925a8cce8edbfe379929d9"},
-    {file = "google_api_core-2.24.0.tar.gz", hash = "sha256:e255640547a597a4da010876d333208ddac417d60add22b6851a0c66a831fcaf"},
+    {file = "google_api_core-2.25.0-py3-none-any.whl", hash = "sha256:1db79d1281dcf9f3d10023283299ba38f3dc9f639ec41085968fd23e5bcf512e"},
+    {file = "google_api_core-2.25.0.tar.gz", hash = "sha256:9b548e688702f82a34ed8409fb8a6961166f0b7795032f0be8f48308dff4333a"},
 ]
 
 [package.dependencies]
-google-auth = ">=2.14.1,<3.0.dev0"
-googleapis-common-protos = ">=1.56.2,<2.0.dev0"
-grpcio = [
-    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
-    {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
-]
-grpcio-status = [
-    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
-    {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "extra == \"grpc\""},
-]
+google-auth = ">=2.14.1,<3.0.0"
+googleapis-common-protos = ">=1.56.2,<2.0.0"
+grpcio = {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
+grpcio-status = {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
 proto-plus = [
-    {version = ">=1.25.0,<2.0.0dev", markers = "python_version >= \"3.13\""},
-    {version = ">=1.22.3,<2.0.0dev"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+    {version = ">=1.22.3,<2.0.0"},
 ]
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
-requests = ">=2.18.0,<3.0.0.dev0"
+protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
+requests = ">=2.18.0,<3.0.0"
 
 [package.extras]
-async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.dev0)"]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0) ; python_version >= \"3.11\""]
-grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
-grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
+async-rest = ["google-auth[aiohttp] (>=2.35.0,<3.0.0)"]
+grpc = ["grpcio (>=1.33.2,<2.0.0)", "grpcio (>=1.49.1,<2.0.0) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.0)", "grpcio-status (>=1.49.1,<2.0.0) ; python_version >= \"3.11\""]
+grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
+grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.159.0"
+version = "2.172.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "google_api_python_client-2.159.0-py2.py3-none-any.whl", hash = "sha256:baef0bb631a60a0bd7c0bf12a5499e3a40cd4388484de7ee55c1950bf820a0cf"},
-    {file = "google_api_python_client-2.159.0.tar.gz", hash = "sha256:55197f430f25c907394b44fa078545ffef89d33fd4dca501b7db9f0d8e224bd6"},
+    {file = "google_api_python_client-2.172.0-py3-none-any.whl", hash = "sha256:9f1b9a268d5dc1228207d246c673d3a09ee211b41a11521d38d9212aeaa43af7"},
+    {file = "google_api_python_client-2.172.0.tar.gz", hash = "sha256:dcb3b7e067154b2aa41f1776cf86584a5739c0ac74e6ff46fc665790dca0e6a6"},
 ]
 
 [package.dependencies]
-google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0.dev0"
-google-auth = ">=1.32.0,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0.dev0"
+google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0"
+google-auth = ">=1.32.0,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
 google-auth-httplib2 = ">=0.2.0,<1.0.0"
-httplib2 = ">=0.19.0,<1.dev0"
+httplib2 = ">=0.19.0,<1.0.0"
 uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.38.0"
+version = "2.40.3"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "google_auth-2.38.0-py2.py3-none-any.whl", hash = "sha256:e7dae6694313f434a2727bf2906f27ad259bae090d7aa896590d86feec3d9d4a"},
-    {file = "google_auth-2.38.0.tar.gz", hash = "sha256:8285113607d3b80a3f1543b75962447ba8a09fe85783432a784fdeef6ac094c4"},
+    {file = "google_auth-2.40.3-py2.py3-none-any.whl", hash = "sha256:1370d4593e86213563547f97a92752fc658456fe4514c809544f330fed45a7ca"},
+    {file = "google_auth-2.40.3.tar.gz", hash = "sha256:500c3a29adedeb36ea9cf24b8d10858e152f2412e3ca37829b3fa18e33d63b77"},
 ]
 
 [package.dependencies]
@@ -1155,12 +1127,14 @@ pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
-pyjwt = ["cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
-pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
-requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+requests = ["requests (>=2.20.0,<3.0.0)"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+urllib3 = ["packaging", "urllib3"]
 
 [[package]]
 name = "google-auth-httplib2"
@@ -1180,14 +1154,14 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-core"
-version = "2.4.1"
+version = "2.4.3"
 description = "Google Cloud API client core library"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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-    {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
+    {file = "google_cloud_core-2.4.3-py2.py3-none-any.whl", hash = "sha256:5130f9f4c14b4fafdff75c79448f9495cfade0d8775facf1b09c3bf67e027f6e"},
+    {file = "google_cloud_core-2.4.3.tar.gz", hash = "sha256:1fab62d7102844b278fe6dead3af32408b1df3eb06f5c7e8634cbd40edc4da53"},
 ]
 
 [package.dependencies]
@@ -1199,43 +1173,43 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-firestore"
-version = "2.20.0"
+version = "2.21.0"
 description = "Google Cloud Firestore API client library"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 markers = "platform_python_implementation != \"PyPy\""
 files = [
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-    {file = "google_cloud_firestore-2.20.0.tar.gz", hash = "sha256:ad863be58667233921e02f0b81aa94a816f5e63a707cb33c97b1aa357a50566d"},
+    {file = "google_cloud_firestore-2.21.0-py3-none-any.whl", hash = "sha256:bf33ccc38a27afc60748d1f9bb7c46b078d0d39d288636bdfd967611d7b3f17f"},
+    {file = "google_cloud_firestore-2.21.0.tar.gz", hash = "sha256:0c37faa8506297f827eefc38feb155247a6dcb9a541289631015d125f1b003f8"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
-google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
-google-cloud-core = ">=1.4.1,<3.0.0dev"
+google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
+google-cloud-core = ">=1.4.1,<3.0.0"
 proto-plus = [
-    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
-    {version = ">=1.22.0,<2.0.0dev"},
+    {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
+    {version = ">=1.22.2,<2.0.0", markers = "python_version >= \"3.11\" and python_version < \"3.13\""},
 ]
-protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
+protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0dev"
 
 [[package]]
 name = "google-cloud-storage"
-version = "2.19.0"
+version = "3.1.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "google_cloud_storage-2.19.0-py2.py3-none-any.whl", hash = "sha256:aeb971b5c29cf8ab98445082cbfe7b161a1f48ed275822f59ed3f1524ea54fba"},
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+    {file = "google_cloud_storage-3.1.0-py2.py3-none-any.whl", hash = "sha256:eaf36966b68660a9633f03b067e4a10ce09f1377cae3ff9f2c699f69a81c66c6"},
+    {file = "google_cloud_storage-3.1.0.tar.gz", hash = "sha256:944273179897c7c8a07ee15f2e6466a02da0c7c4b9ecceac2a26017cb2972049"},
 ]
 
 [package.dependencies]
 google-api-core = ">=2.15.0,<3.0.0dev"
 google-auth = ">=2.26.1,<3.0dev"
-google-cloud-core = ">=2.3.0,<3.0dev"
+google-cloud-core = ">=2.4.2,<3.0dev"
 google-crc32c = ">=1.0,<2.0dev"
 google-resumable-media = ">=2.7.2"
 requests = ">=2.18.0,<3.0.0dev"
@@ -1246,39 +1220,46 @@ tracing = ["opentelemetry-api (>=1.1.0)"]
 
 [[package]]
 name = "google-crc32c"
-version = "1.6.0"
+version = "1.7.1"
 description = "A python wrapper of the C library 'Google CRC32C'"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 [package.extras]
@@ -1461,89 +1423,85 @@ oauth2client = ">=1.4.11"
 
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 [[package]]
 name = "h11"
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 ]
 
 [package.dependencies]
@@ -1598,27 +1556,32 @@ numpy = ">=1.19.3"
 
 [[package]]
 name = "hdmf"
-version = "3.14.6"
+version = "4.1.0"
 description = "A hierarchical data modeling framework for modern science data standards"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 [package.dependencies]
-h5py = ">=2.10"
-jsonschema = ">=2.6.0"
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-pandas = ">=1.0.5"
+h5py = ">=3.1.0"
+jsonschema = ">=3.2.0"
+numpy = ">=1.19.3"
+pandas = ">=1.2.0"
 ruamel-yaml = ">=0.16"
-scipy = ">=1.4"
 
 [package.extras]
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 tqdm = ["tqdm (>=4.41.0)"]
+zarr = ["numcodecs (<0.16.0)", "zarr (>=2.12.0,<3)"]
 
 [[package]]
 name = "httpcore"
@@ -1698,14 +1661,14 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 
 [[package]]
 name = "identify"
-version = "2.6.6"
+version = "2.6.12"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
 files = [
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 [package.extras]
@@ -1772,65 +1735,16 @@ files = [
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 ]
 
-[[package]]
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-python-versions = ">=3.9"
-groups = ["main", "doc"]
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@@ -1850,14 +1764,14 @@ colors = ["colorama (>=0.4.6)"]
 
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+version = "3.1.6"
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@@ -1868,14 +1782,14 @@ i18n = ["Babel (>=2.7)"]
 
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+version = "4.24.0"
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@@ -1890,14 +1804,14 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
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@@ -1905,14 +1819,14 @@ referencing = ">=0.31.0"
 
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 [package.dependencies]
@@ -1921,8 +1835,8 @@ pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_
 traitlets = ">=5.3"
 
 [package.extras]
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+test = ["ipykernel", "pre-commit", "pytest (<9)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jwcrypto"
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 [[package]]
@@ -2081,14 +1961,14 @@ tornado = "*"
 
 [[package]]
 name = "mako"
-version = "1.3.8"
+version = "1.3.10"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
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 [package.dependencies]
@@ -2256,7 +2136,6 @@ files = [
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 fonttools = ">=4.22.0"
-importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
 kiwisolver = ">=1.0.1"
 numpy = ">=1.20,<2"
 packaging = ">=20.0"
@@ -2384,14 +2263,14 @@ files = [
 
 [[package]]
 name = "mypy-extensions"
-version = "1.0.0"
+version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 groups = ["dev"]
 files = [
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 ]
 
 [[package]]
@@ -2523,7 +2402,6 @@ files = [
 [package.dependencies]
 sphinx = ">=6"
 tabulate = ">=0.8.10"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 developer = ["pre-commit (>=3.3)", "tomli ; python_version < \"3.11\""]
@@ -2551,14 +2429,14 @@ six = ">=1.6.1"
 
 [[package]]
 name = "packaging"
-version = "24.2"
+version = "25.0"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev", "doc", "test"]
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 ]
 
 [[package]]
@@ -2599,11 +2477,7 @@ files = [
 ]
 
 [package.dependencies]
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-    {version = ">=1.20.3", markers = "python_version < \"3.10\""},
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
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 python-dateutil = ">=2.8.1"
 pytz = ">=2020.1"
 
@@ -2624,133 +2498,147 @@ files = [
 
 [[package]]
 name = "pbr"
-version = "6.1.0"
+version = "6.1.1"
 description = "Python Build Reasonableness"
 optional = false
 python-versions = ">=2.6"
 groups = ["doc"]
 files = [
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 ]
 
+[package.dependencies]
+setuptools = "*"
+
 [[package]]
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+version = "11.2.1"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
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-docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=8.2)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
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 tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
 typing = ["typing-extensions ; python_version < \"3.10\""]
 xmp = ["defusedxml"]
 
 [[package]]
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-version = "1.4.3"
+version = "1.4.5"
 description = "The smartest command line arguments parser in the world"
 optional = false
 python-versions = "*"
 groups = ["main"]
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 [[package]]
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 optional = false
-python-versions = ">=3.8"
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-type = ["mypy (>=1.11.2)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.14.1)"]
 
 [[package]]
 name = "plotly"
@@ -2770,19 +2658,19 @@ tenacity = ">=6.2.0"
 
 [[package]]
 name = "pluggy"
-version = "1.5.0"
+version = "1.6.0"
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 ]
 
 [package.extras]
 dev = ["pre-commit", "tox"]
-testing = ["pytest", "pytest-benchmark"]
+testing = ["coverage", "pytest", "pytest-benchmark"]
 
 [[package]]
 name = "ply"
@@ -2817,14 +2705,14 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
 
 [[package]]
 name = "pre-commit"
-version = "4.1.0"
+version = "4.2.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
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 ]
 
 [package.dependencies]
@@ -2836,86 +2724,81 @@ virtualenv = ">=20.10.0"
 
 [[package]]
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-version = "1.25.0"
-description = "Beautiful, Pythonic protocol buffers."
+version = "1.26.1"
+description = "Beautiful, Pythonic protocol buffers"
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 ]
 
 [package.dependencies]
-protobuf = ">=3.19.0,<6.0.0dev"
+protobuf = ">=3.19.0,<7.0.0"
 
 [package.extras]
 testing = ["google-api-core (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "5.29.3"
+version = "6.31.1"
 description = ""
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 ]
 
 [[package]]
 name = "psutil"
-version = "6.1.1"
-description = "Cross-platform lib for process and system monitoring in Python."
+version = "7.0.0"
+description = "Cross-platform lib for process and system monitoring in Python.  NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+python-versions = ">=3.6"
 groups = ["main"]
 files = [
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 test = ["pytest", "pytest-xdist", "setuptools"]
 
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+public-py = ["coptpy", "gurobipy", "xpress"]
+
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 name = "pyasn1"
 version = "0.6.1"
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 name = "pycodestyle"
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 ]
 
 [[package]]
@@ -3083,7 +2975,7 @@ version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "doc"]
+groups = ["main", "doc", "test"]
 files = [
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@@ -3168,14 +3060,14 @@ python-dateutil = ">=2.7.3"
 
 [[package]]
 name = "pyparsing"
-version = "3.2.1"
+version = "3.2.3"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.extras]
@@ -3220,26 +3112,25 @@ urllib3 = ">=1.21.1,<2"
 
 [[package]]
 name = "pytest"
-version = "8.3.4"
+version = "8.4.0"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["test"]
 files = [
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 ]
 
 [package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
+colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
+iniconfig = ">=1"
+packaging = ">=20"
 pluggy = ">=1.5,<2"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
+pygments = ">=2.7.2"
 
 [package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-env"
@@ -3255,7 +3146,6 @@ files = [
 
 [package.dependencies]
 pytest = ">=8.3.3"
-tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "pytest-mock (>=3.14)"]
@@ -3277,14 +3167,14 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.1"
+version = "1.1.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.extras]
@@ -3292,26 +3182,27 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-jose"
-version = "3.3.0"
+version = "3.5.0"
 description = "JOSE implementation in Python"
 optional = false
-python-versions = "*"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
 cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"cryptography\""}
 ecdsa = "!=0.15"
-pyasn1 = "*"
-rsa = "*"
+pyasn1 = ">=0.5.0"
+rsa = ">=4.0,<4.1.1 || >4.1.1,<4.4 || >4.4,<5.0"
 
 [package.extras]
 cryptography = ["cryptography (>=3.4.0)"]
-pycrypto = ["pyasn1", "pycrypto (>=2.6.0,<2.7.0)"]
-pycryptodome = ["pyasn1", "pycryptodome (>=3.3.1,<4.0.0)"]
+pycrypto = ["pycrypto (>=2.6.0,<2.7.0)"]
+pycryptodome = ["pycryptodome (>=3.3.1,<4.0.0)"]
+test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "python-jwt"
@@ -3342,43 +3233,41 @@ files = [
 
 [[package]]
 name = "pytz"
-version = "2024.2"
+version = "2025.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 groups = ["main"]
 files = [
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 ]
 
 [[package]]
 name = "pywin32"
-version = "308"
+version = "310"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
 groups = ["main"]
 markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\" or platform_system == \"Windows\""
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 ]
 
 [[package]]
@@ -3446,14 +3335,14 @@ files = [
 
 [[package]]
 name = "referencing"
-version = "0.36.1"
+version = "0.36.2"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -3530,127 +3419,141 @@ idna2008 = ["idna"]
 
 [[package]]
 name = "rpds-py"
-version = "0.22.3"
+version = "0.25.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.9"
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@@ -3658,18 +3561,18 @@ pyasn1 = ">=0.1.3"
 
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 [package.extras]
 docs = ["mercurial (>5.7)", "ryd"]
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 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "platform_python_implementation == \"CPython\" and python_version < \"3.13\""
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 [[package]]
 name = "six"
@@ -3883,14 +3828,14 @@ files = [
 
 [[package]]
 name = "snowballstemmer"
-version = "2.2.0"
-description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
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+description = "This package provides 32 stemmers for 30 languages generated from Snowball algorithms."
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+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*"
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 Jinja2 = ">=3.0"
 packaging = ">=21.0"
 Pygments = ">=2.13"
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 [[package]]
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+version = "0.6.0"
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 [package.dependencies]
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 [[package]]
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+asyncio = ["greenlet (>=1)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
@@ -4243,7 +4187,7 @@ mysql-connector = ["mysql-connector-python"]
 oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
-postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (>=1)"]
 postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
 postgresql-psycopg = ["psycopg (>=3.0.7)"]
 postgresql-psycopg2binary = ["psycopg2-binary"]
@@ -4282,7 +4226,6 @@ files = [
 
 [package.dependencies]
 anyio = ">=3.4.0,<5"
-typing-extensions = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyaml"]
@@ -4315,14 +4258,14 @@ widechars = ["wcwidth"]
 
 [[package]]
 name = "tenacity"
-version = "9.0.0"
+version = "9.1.2"
 description = "Retry code until it succeeds"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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-    {file = "tenacity-9.0.0.tar.gz", hash = "sha256:807f37ca97d62aa361264d497b0e31e92b8027044942bfa756160d908320d73b"},
+    {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"},
+    {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"},
 ]
 
 [package.extras]
@@ -4346,69 +4289,26 @@ dev = ["aiohttp (>=3.8)", "codecov (>=2.1)", "flake8 (>=4.0)", "pytest (>=7.0)",
 
 [[package]]
 name = "tifffile"
-version = "2024.8.30"
+version = "2025.6.11"
 description = "Read and write TIFF files"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.11"
 groups = ["main"]
 files = [
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+    {file = "tifffile-2025.6.11.tar.gz", hash = "sha256:0ece4c2e7a10656957d568a093b07513c0728d30c1bd8cc12725901fffdb7143"},
 ]
 
 [package.dependencies]
 numpy = "*"
 
 [package.extras]
-all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib", "zarr"]
-codecs = ["imagecodecs (>=2023.8.12)"]
+all = ["defusedxml", "fsspec", "imagecodecs (>=2024.12.30)", "kerchunk", "lxml", "matplotlib", "zarr (>=3)"]
+codecs = ["imagecodecs (>=2024.12.30)"]
 plot = ["matplotlib"]
-test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "lfdfiles", "lxml", "ndtiff", "oiffile", "psdtags", "pytest", "roifile", "xarray", "zarr"]
+test = ["cmapfile", "czifile", "dask", "defusedxml", "fsspec", "imagecodecs", "kerchunk", "lfdfiles", "lxml", "ndtiff", "oiffile", "psdtags", "pytest", "requests", "roifile", "xarray", "zarr (>=3)"]
 xml = ["defusedxml", "lxml"]
-zarr = ["fsspec", "zarr"]
-
-[[package]]
-name = "tomli"
-version = "2.2.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev", "test"]
-markers = "python_version < \"3.11\""
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-]
+zarr = ["fsspec", "kerchunk", "zarr (>=3)"]
 
 [[package]]
 name = "toposort"
@@ -4424,23 +4324,24 @@ files = [
 
 [[package]]
 name = "tornado"
-version = "6.4.2"
+version = "6.5.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["doc"]
 files = [
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+    {file = "tornado-6.5.1.tar.gz", hash = "sha256:84ceece391e8eb9b2b95578db65e920d2a61070260594819589609ba9bc6308c"},
 ]
 
 [[package]]
@@ -4483,27 +4384,26 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "typing-extensions"
-version = "4.12.2"
-description = "Backported and Experimental Type Hints for Python 3.8+"
+version = "4.14.0"
+description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
+groups = ["main"]
 files = [
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+    {file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4"},
 ]
-markers = {dev = "python_version < \"3.11\""}
 
 [[package]]
 name = "uritemplate"
-version = "4.1.1"
+version = "4.2.0"
 description = "Implementation of RFC 6570 URI Templates"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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+    {file = "uritemplate-4.2.0-py3-none-any.whl", hash = "sha256:962201ba1c4edcab02e60f9a0d3821e82dfc5d2d6662a21abd533879bdb8a686"},
+    {file = "uritemplate-4.2.0.tar.gz", hash = "sha256:480c2ed180878955863323eea31b0ede668795de182617fef9c6ca09e6ec9d0e"},
 ]
 
 [[package]]
@@ -4538,21 +4438,20 @@ files = [
 [package.dependencies]
 click = ">=7.0"
 h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.29.1"
+version = "20.31.2"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
 files = [
-    {file = "virtualenv-20.29.1-py3-none-any.whl", hash = "sha256:4e4cb403c0b0da39e13b46b1b2476e505cb0046b25f242bee80f62bf990b2779"},
-    {file = "virtualenv-20.29.1.tar.gz", hash = "sha256:b8b8970138d32fb606192cb97f6cd4bb644fa486be9308fb9b63f81091b5dc35"},
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+    {file = "virtualenv-20.31.2.tar.gz", hash = "sha256:e10c0a9d02835e592521be48b332b6caee6887f332c111aa79a09b9e79efc2af"},
 ]
 
 [package.dependencies]
@@ -4562,7 +4461,7 @@ platformdirs = ">=3.9.1,<5"
 
 [package.extras]
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
 
 [[package]]
 name = "wrapt"
@@ -4679,47 +4578,25 @@ files = [
 
 [package.dependencies]
 platformdirs = ">=3.5.1"
-tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "yte"
-version = "1.5.6"
+version = "1.8.1"
 description = "A YAML template engine with Python expressions"
 optional = false
-python-versions = ">=3.7"
+python-versions = "<4.0,>=3.7"
 groups = ["main"]
 files = [
-    {file = "yte-1.5.6-py3-none-any.whl", hash = "sha256:2207f1194f637f476e92a8035845e31d131ad98d3043a4e98ded83cd34a34908"},
-    {file = "yte-1.5.6.tar.gz", hash = "sha256:e92a2aaaf27a4ec426af7459f32874abf99c9368ca67f1c52f80b3fcd95708ea"},
+    {file = "yte-1.8.1-py3-none-any.whl", hash = "sha256:4fa0ddfff047984bda0bc521d85cba32a8a7ca4c4cdb16938b6911c049485733"},
+    {file = "yte-1.8.1.tar.gz", hash = "sha256:6eefbdceae56e156ba9881ecb63f3c9217cfe5d5cc6f85fdb061c266a8eff112"},
 ]
 
 [package.dependencies]
 dpath = ">=2.1,<3.0"
-plac = ">=1.3.4,<2.0.0"
+plac = ">=1.3.4,<2.0"
 pyyaml = ">=6.0,<7.0"
 
-[[package]]
-name = "zipp"
-version = "3.21.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.9"
-groups = ["main", "doc"]
-markers = "python_version == \"3.9\""
-files = [
-    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
-    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
-]
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
-
 [metadata]
 lock-version = "2.1"
-python-versions = "^3.9"
-content-hash = "5d725773cdc5fe7d75bfb73aa573363a14449001439c4bf62814852044b338ea"
+python-versions = "^3.11"
+content-hash = "34f08fbca0ae637cfbf3d8b17df65d3f77351e877806098ec862ee7478b1f544"
diff --git a/pyproject.toml b/pyproject.toml
index be715a638..d387080af 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -16,6 +16,7 @@ classifiers = [
   "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
   "Operating System :: POSIX :: Linux",
   "Operating System :: Microsoft :: Windows",
   "Operating System :: MacOS :: MacOS X",
@@ -49,7 +50,7 @@ exclude = [
 ]
 
 [tool.poetry.dependencies]
-python = "^3.9"
+python = "^3.11"
 fastapi = "0.104.*"
 uvicorn = "0.24.*"
 numpy = "1.24.3"
@@ -85,6 +86,7 @@ matplotlib = "3.7.*"
 concurrent-log-handler = "^0.9.25"
 numpydoc = "*"
 yapf = "*"
+setuptools = "<79"
 
 [tool.poetry.group.dev]
 optional = true
diff --git a/studio/app/common/dataclass/image.py b/studio/app/common/dataclass/image.py
index 6c527a232..438f7f7bc 100644
--- a/studio/app/common/dataclass/image.py
+++ b/studio/app/common/dataclass/image.py
@@ -43,7 +43,7 @@ def __init__(
             create_directory(_dir)
 
             _path = join_filepath([_dir, f"{file_name}.tif"])
-            tifffile.imsave(_path, data)
+            tifffile.imwrite(_path, data)
             self.path = [_path]
 
             del data
diff --git a/studio/app/optinist/dataclass/roi.py b/studio/app/optinist/dataclass/roi.py
index a5c7126ae..382da9c0c 100644
--- a/studio/app/optinist/dataclass/roi.py
+++ b/studio/app/optinist/dataclass/roi.py
@@ -35,7 +35,7 @@ def __init__(
         _dir = join_filepath([output_dir, "tiff", file_name])
         create_directory(_dir)
         self.path = join_filepath([_dir, f"{file_name}.tif"])
-        tifffile.imsave(self.path, images)
+        tifffile.imwrite(self.path, images)
 
         del images, data
         gc.collect()
diff --git a/studio/app/optinist/wrappers/__init__.py b/studio/app/optinist/wrappers/__init__.py
index fb7a942ba..fe6ede048 100644
--- a/studio/app/optinist/wrappers/__init__.py
+++ b/studio/app/optinist/wrappers/__init__.py
@@ -1,5 +1,6 @@
 from studio.app.optinist.wrappers.caiman import caiman_wrapper_dict
 from studio.app.optinist.wrappers.custom import custom_wrapper_dict
+from studio.app.optinist.wrappers.data_utils import utils_wrapper_dict
 from studio.app.optinist.wrappers.lccd import lccd_wrapper_dict
 from studio.app.optinist.wrappers.maintenance import maintenance_wrapper_dict
 from studio.app.optinist.wrappers.optinist import optinist_wrapper_dict
@@ -10,5 +11,6 @@
 wrapper_dict.update(**suite2p_wrapper_dict)
 wrapper_dict.update(**lccd_wrapper_dict)
 wrapper_dict.update(**optinist_wrapper_dict)
+wrapper_dict.update(**utils_wrapper_dict)
 wrapper_dict.update(**maintenance_wrapper_dict)
 wrapper_dict.update(**custom_wrapper_dict)
diff --git a/studio/app/optinist/wrappers/custom/conda/custom.yaml b/studio/app/optinist/wrappers/custom/conda/custom.yaml
index 912c1f55b..4190633da 100644
--- a/studio/app/optinist/wrappers/custom/conda/custom.yaml
+++ b/studio/app/optinist/wrappers/custom/conda/custom.yaml
@@ -1,3 +1,7 @@
 dependencies:
-  - python=3.9
-  - numpy<2 # Exclude numpy 2.x versions
+  - python=3.11
+  - numpy<2
+  - pip
+  - h5py
+  - pip:
+      # - scikit-learn
diff --git a/studio/app/optinist/wrappers/data_utils/__init__.py b/studio/app/optinist/wrappers/data_utils/__init__.py
new file mode 100644
index 000000000..7cbbc3594
--- /dev/null
+++ b/studio/app/optinist/wrappers/data_utils/__init__.py
@@ -0,0 +1,47 @@
+from studio.app.optinist.wrappers.data_utils.data_concat import data_concat
+from studio.app.optinist.wrappers.data_utils.data_slice import data_slice
+from studio.app.optinist.wrappers.data_utils.data_transpose import data_transpose
+from studio.app.optinist.wrappers.data_utils.fluo_from_hdf5 import fluo_from_hdf5
+from studio.app.optinist.wrappers.data_utils.microscope_to_img import microscope_to_img
+from studio.app.optinist.wrappers.data_utils.roi_fluo_from_hdf5 import (
+    roi_fluo_from_hdf5,
+)
+from studio.app.optinist.wrappers.data_utils.roi_from_hdf5 import roi_from_hdf5
+from studio.app.optinist.wrappers.data_utils.vacant_roi import vacant_roi
+
+utils_wrapper_dict = {
+    "utils": {
+        "data_concat": {
+            "function": data_concat,
+            "conda_name": "optinist",
+        },
+        "data_slice": {
+            "function": data_slice,
+            "conda_name": "optinist",
+        },
+        "data_transpose": {
+            "function": data_transpose,
+            "conda_name": "optinist",
+        },
+        "fluo_from_hdf5": {
+            "function": fluo_from_hdf5,
+            "conda_name": "optinist",
+        },
+        "roi_from_hdf5": {
+            "function": roi_from_hdf5,
+            "conda_name": "optinist",
+        },
+        "roi_fluo_from_hdf5": {
+            "function": roi_fluo_from_hdf5,
+            "conda_name": "optinist",
+        },
+        "microscope_to_img": {
+            "function": microscope_to_img,
+            "conda_name": "microscope",
+        },
+        "vacant_roi": {
+            "function": vacant_roi,
+            "conda_name": "optinist",
+        },
+    },
+}
diff --git a/studio/app/optinist/wrappers/data_utils/data_concat.py b/studio/app/optinist/wrappers/data_utils/data_concat.py
new file mode 100644
index 000000000..732f9fc62
--- /dev/null
+++ b/studio/app/optinist/wrappers/data_utils/data_concat.py
@@ -0,0 +1,268 @@
+import numpy as np
+
+from studio.app.common.core.logger import AppLogger
+from studio.app.common.dataclass.base import BaseData
+from studio.app.common.dataclass.csv import CsvData
+from studio.app.common.dataclass.image import ImageData
+from studio.app.common.dataclass.timeseries import TimeSeriesData
+from studio.app.optinist.dataclass.behavior import BehaviorData
+from studio.app.optinist.dataclass.fluo import FluoData
+from studio.app.optinist.dataclass.iscell import IscellData
+from studio.app.optinist.dataclass.roi import RoiData
+from studio.app.optinist.wrappers.data_utils.data_utils_utils import return_as_data_type
+
+
+def data_concat(
+    data1: BaseData,
+    data2: BaseData,
+    output_dir: str,
+    params: dict = None,
+    **kwargs,
+) -> dict(concatenated_data=BaseData):
+    """
+    Concatenates two data arrays along specified axis.
+
+    Parameters:
+        data1 (BaseData): First data array to concatenate. Accepts several types:
+                    BehaviorData, CsvData, FluoData, ImageData, IscellData, RoiData.
+        data2 (BaseData): Second data array to concatenate. Accepts same types.
+                    Must be compatible with data1 for concatenation along specified axis
+        output_dir (str): Directory to save the output data.
+        params (dict, optional): Dictionary containing concatenation specifications:
+                    - 'axis': Axis along which to concatenate
+                    - 'output_type': Optional output type specification
+                        (behaviors_data, neural_data, image_data, iscell_data, roi_data)
+                        If not specified, will be inferred from data1 type
+                    - 'time_axis': Specified or determined by data type
+                    - 'std_method': How to handle standard deviation:
+                        * "concatenate": concatenate existing std arrays
+                        * "compute": compute new std for concatenated data
+                        * "none": no std in output
+                    - 'std_axis': If std_method="compute",
+                        which axis to compute std along (default: time_axis)
+
+    Returns:
+        dict: A dictionary containing the concatenated data with appropriate data type.
+    """
+    logger = AppLogger.get_logger()
+    logger.info("Starting data concatenation")
+
+    # Get parameters with defaults based on data type
+    default_params = determine_default_params(data1)
+
+    axis = params.get("axis", None) if params else None
+    axis = int(axis) if axis is not None and str(axis).strip() else None
+    if axis is None:
+        axis = default_params["axis"]
+        logger.info(
+            f"Using default axis {axis} for {type(data1).__name__} concatenation"
+        )
+    else:
+        logger.info(f"Concatenation axis specified: {axis}")
+
+    time_axis = params.get("time_axis", None) if params else None
+    time_axis = (
+        int(time_axis) if time_axis is not None and str(time_axis).strip() else None
+    )
+    if time_axis is None:
+        time_axis = default_params["time_axis"]
+        logger.info(f"Using default time_axis {time_axis} for {type(data1).__name__}")
+    else:
+        logger.info(f"Time axis specified: {time_axis}")
+    if time_axis is not None:
+        time_axis = int(time_axis)
+
+    std_method = params.get("std_method", None) if params else None
+    if std_method is None:
+        std_method = default_params["std_method"]
+    else:
+        std_method = std_method.strip().lower()
+        if std_method not in ["concatenate", "compute", "none"]:
+            logger.warning(f"Invalid std_method '{std_method}'.")
+            logger.warning(
+                "Expected std_method values: 'concatenate', 'compute', or 'none'."
+            )
+        else:
+            logger.info(f"Std method specified: {std_method}")
+
+    std_axis = params.get("std_axis", None) if params else None
+    std_axis = int(std_axis) if std_axis is not None and str(std_axis).strip() else None
+    if std_axis is None:
+        std_axis = default_params["std_axis"]
+    else:
+        logger.info(f"Std axis specified: {std_axis}")
+    if std_axis is not None:
+        std_axis = int(std_axis)
+
+    output_type = params.get("output_type", None) if params else None
+    if output_type is not None and output_type != "":
+        output_type = output_type.strip().lower()
+        logger.info(f"Output type specified: {output_type}")
+    else:
+        logger.info("Output type unspecified, using same type as input data 1")
+
+    try:
+        data1_array = data1.data
+        data2_array = data2.data
+        # Get the raw data arrays
+
+        logger.info(
+            f"Data1 shape: {data1_array.shape}, Data2 shape: {data2_array.shape}"
+        )
+
+        # Validate axis parameter
+        if axis >= data1_array.ndim or axis < -data1_array.ndim:
+            raise ValueError(
+                f"Axis {axis} is out of bounds for {data1_array.ndim}D array"
+            )
+
+        # Validate basic compatibility
+        if data1_array.ndim != data2_array.ndim:
+            raise ValueError(
+                f"Cannot concat arrays of dims:{data1_array.ndim} & {data2_array.ndim}"
+            )
+
+        # Try concatenation and let NumPy handle compatibility
+        try:
+            concatenated_array = np.concatenate([data1_array, data2_array], axis=axis)
+            logger.info(f"Concatenated data shape: {concatenated_array.shape}")
+        except ValueError as concat_error:
+            # Provide more helpful error message with shape information
+            raise ValueError(
+                f"Cannot concat arrays of shape:{data1_array.shape}&{data2_array.shape}"
+                f"along axis {axis}. NumPy error: {str(concat_error)}"
+            )
+
+        # Handle index concatenation based on time_axis
+        concatenated_index = None
+        if (
+            hasattr(data1, "index")
+            and hasattr(data2, "index")
+            and data1.index is not None
+            and data2.index is not None
+        ):
+            if time_axis is not None and axis == time_axis:
+                # Concatenating along time dimension - concatenate indices
+                concatenated_index = np.concatenate([data1.index, data2.index])
+                logger.info("Concatenated time indices")
+            else:
+                # Use data1's index (should be same for non-time concatenation)
+                concatenated_index = data1.index
+                logger.info("Used data1 index")
+        elif hasattr(data1, "index") and data1.index is not None:
+            concatenated_index = data1.index
+        elif hasattr(data2, "index") and data2.index is not None:
+            concatenated_index = data2.index
+
+        # Handle std based on std_method
+        concatenated_std = None
+
+        if std_method == "concatenate":
+            if (
+                hasattr(data1, "std")
+                and hasattr(data2, "std")
+                and data1.std is not None
+                and data2.std is not None
+            ):
+                try:
+                    concatenated_std = np.concatenate([data1.std, data2.std], axis=axis)
+                    logger.info("Concatenated existing std arrays")
+                except Exception as e:
+                    logger.warning(f"Could not concatenate std arrays: {e}")
+
+        elif std_method == "compute":
+            try:
+                # Use time_axis as default if std_axis is None
+                effective_std_axis = std_axis if std_axis is not None else time_axis
+                if concatenated_array.ndim == 2:
+                    axis_std = np.std(
+                        concatenated_array, axis=effective_std_axis, keepdims=True
+                    )
+                    concatenated_std = np.broadcast_to(
+                        axis_std, concatenated_array.shape
+                    )
+                    logger.info(f"Computed std with shape {concatenated_std.shape}")
+                else:
+                    concatenated_std = np.std(
+                        concatenated_array, axis=effective_std_axis
+                    )
+                    logger.info(f"Computed new std along axis {std_axis}")
+
+            except Exception as e:
+                logger.warning(f"Could not compute std: {e}")
+                concatenated_std = None
+
+        # Create output data object
+        file_name = (
+            f"concatenated_{data1.file_name}"
+            if hasattr(data1, "file_name")
+            else "concatenated_data"
+        )
+        output_data = return_as_data_type(
+            data1,  # Use data1 as template for type inference
+            concatenated_array,
+            output_dir,
+            file_name,
+            output_type=output_type,
+            std=concatenated_std,
+            index=concatenated_index,
+        )
+
+        data_object = list(output_data.values())[0]
+        result = {"concatenated_data": data_object}
+        if concatenated_std is not None:
+            result["concatenated_std"] = TimeSeriesData(
+                concatenated_std, index=concatenated_index, file_name="concatenated_std"
+            )
+        return result
+
+    except Exception as e:
+        logger.error(f"Error during data concatenation: {str(e)}")
+        raise ValueError(f"Data concatenation failed: {str(e)}")
+
+
+def determine_default_params(data1):
+    """Determine default concatenation axis, time axis, std axis, and std method
+    based on data type."""
+    if isinstance(data1, ImageData):
+        return {
+            "axis": 0,  # Time in dim 0, concat along time dimension
+            "time_axis": 0,  # Time is in dimension 0
+            "std_axis": 0,  # Compute std across time
+            "std_method": "none",  # Compute new temporal statistics
+        }
+    elif isinstance(data1, FluoData):
+        return {
+            "axis": 0,  # (roi, time) shape, concat along roi dimension
+            "time_axis": 1,  # Time is in dimension 1
+            "std_axis": 1,  # Compute std across time for each ROI
+            "std_method": "none",  # Compute stats over combined ROI population
+        }
+    elif isinstance(data1, (BehaviorData, CsvData)):
+        return {
+            "axis": 1,  # Time in dim 0, concat along non-time dimension (features)
+            "time_axis": 0,  # Time is in dimension 0
+            "std_axis": 0,  # Compute std across time for each feature
+            "std_method": "concatenate",  # Preserve individual feature characteristics
+        }
+    elif isinstance(data1, IscellData):
+        return {
+            "axis": 0,  # 1D data, concat along the only available dimension
+            "time_axis": None,  # Safe default (ROI data typically spatial)
+            "std_axis": None,  # Compute std along concatenation dimension
+            "std_method": "none",  # Compute new spatial statistics
+        }
+    elif isinstance(data1, RoiData):
+        return {
+            "axis": 0,  # 1D data, concat along the only available dimension
+            "time_axis": None,  # Safe default (ROI data typically spatial)
+            "std_axis": None,  # Compute std along concatenation dimension
+            "std_method": "none",  # Compute new spatial statistics
+        }
+    else:
+        return {
+            "axis": 0,  # Default fallback
+            "time_axis": 1,  # Legacy default
+            "std_axis": 1,  # Legacy default
+            "std_method": "none",  # Safest default
+        }
diff --git a/studio/app/optinist/wrappers/data_utils/data_slice.py b/studio/app/optinist/wrappers/data_utils/data_slice.py
new file mode 100644
index 000000000..8ee489c95
--- /dev/null
+++ b/studio/app/optinist/wrappers/data_utils/data_slice.py
@@ -0,0 +1,255 @@
+import numpy as np
+
+from studio.app.common.core.logger import AppLogger
+from studio.app.common.dataclass.base import BaseData
+from studio.app.common.dataclass.image import ImageData
+from studio.app.optinist.dataclass.fluo import FluoData
+from studio.app.optinist.wrappers.data_utils.data_utils_utils import return_as_data_type
+
+
+def data_slice(
+    data: BaseData,
+    output_dir: str,
+    params: dict = None,
+    **kwargs,
+) -> dict(sliced_data=BaseData):
+    """
+    Slices data along specified dimensions.
+
+    Parameters:
+        data (BaseData): Input data to slice. Can be one of several types:
+                         BehaviorData, CsvData, FluoData, ImageData, or RoiData.
+        output_dir (str): Directory to save the output data.
+        params (dict, optional): Dictionary containing slice specifications:
+                               - 'slice_dims': List of slice specs for each dimension.
+                                 Each spec can be:
+                                 - Null/empty/':'/all: Keep the entire dimension
+                                 - 'start:end': Range slice
+                                 - 'start:step:end': Strided slice
+                                 - 'squeeze': Remove this dimension (must have size 1)
+                                 - integer: Single index to select (removes dimension)
+
+    Returns:
+        dict: A dictionary containing the sliced data and any derived data products.
+    """
+    logger = AppLogger.get_logger()
+    logger.info("Starting data slicing")
+
+    # Get slice specifications from parameters
+    slice_dims = params.get("slice_dims", None) if params else None
+
+    if slice_dims is not None:
+        if isinstance(slice_dims, str):
+            slice_dims = [s.strip() for s in slice_dims.split(",")]
+        elif isinstance(slice_dims, list):
+            slice_dims = [s.strip() if isinstance(s, str) else s for s in slice_dims]
+
+    try:
+        raw_data = data.data
+        ndim = raw_data.ndim
+        original_shape = raw_data.shape
+        logger.info(f"Original data shape: {original_shape}")
+    except Exception as e:
+        logger.error(f"Unable to access data: {str(e)}")
+        raise ValueError(
+            f"Input data doesn't have accessible .data attribute: {str(e)}"
+        )
+
+    # Handle case where no slice specs are provided
+    if slice_dims is None:
+        logger.info("No slice specifications provided, returning original data")
+        return return_as_data_type(data, raw_data, output_dir, "sliced_data")
+
+    # Convert slice_dims to list format if it's a string
+    if isinstance(slice_dims, str):
+        slice_dims = [s.strip() for s in slice_dims.split(",")]
+    elif isinstance(slice_dims, list):
+        slice_dims = [s.strip() if isinstance(s, str) else s for s in slice_dims]
+
+    # Make sure we have specs for all dimensions
+    if len(slice_dims) < ndim:
+        slice_dims = slice_dims + [None] * (ndim - len(slice_dims))
+    elif len(slice_dims) > ndim:
+        raise ValueError(
+            f"Too many slice specs provided ({len(slice_dims)} for {ndim} dimensions)"
+        )
+
+    # Process each dimension's slice specification
+    index_specs = []
+
+    for i, spec in enumerate(slice_dims):
+        # Skip empty specs or "all" indicator
+        if spec is None or (isinstance(spec, str) and spec.strip() in ("", ":", "all")):
+            index_specs.append(slice(None))
+            continue
+
+        # Handle "squeeze" keyword for dimensions of size 1
+        if isinstance(spec, str) and spec.strip() == "squeeze":
+            if raw_data.shape[i] == 1:
+                index_specs.append(0)  # Integer index removes dimension
+            else:
+                logger.warning(
+                    f"Cannot squeeze dimension {i} with size {raw_data.shape[i]}"
+                )
+                index_specs.append(slice(None))
+            continue
+
+        # Handle integer index (removes dimension)
+        if isinstance(spec, int) or (isinstance(spec, str) and spec.strip().isdigit()):
+            idx = int(spec.strip() if isinstance(spec, str) else spec)
+            if 0 <= idx < raw_data.shape[i]:
+                # Make sure we're adding an actual integer, not a slice
+                index_specs.append(int(idx))  # Force conversion to int
+            else:
+                maxshape = raw_data.shape[i] - 1
+                logger.warning(
+                    f"Index {idx} out of bounds for dim {i} (max: {maxshape})"
+                )
+                index_specs.append(slice(None))
+            continue
+
+        # Parse slice notation (start:end or start:step:end)
+        if isinstance(spec, str) and ":" in spec:
+            try:
+                parts = [p.strip() for p in spec.split(":")]
+
+                if len(parts) == 2:
+                    # Format: start:end
+                    start = int(parts[0]) if parts[0] else None
+                    end = int(parts[1]) if parts[1] else None
+                    index_specs.append(slice(start, end))
+
+                elif len(parts) == 3:
+                    # Format: start:stop:step
+                    start = int(parts[0]) if parts[0] else None
+                    stop = int(parts[1]) if parts[1] else None
+                    step = int(parts[2]) if parts[2] else None
+                    index_specs.append(slice(start, stop, step))
+
+                else:
+                    logger.warning(f"Invalid slice format: {spec}")
+                    index_specs.append(slice(None))
+
+            except ValueError:
+                logger.warning(f"Could not parse slice spec: {spec}")
+                index_specs.append(slice(None))
+
+            continue
+
+        # Unrecognized specification
+        logger.warning(f"Unrecognized slice spec: {spec}")
+        index_specs.append(slice(None))
+
+    logger.info(f"Data slice - Applying indexing: {index_specs}")
+
+    try:
+        # Apply slices to all parts of data
+        sliced_data = raw_data[tuple(index_specs)]
+        logger.info(f"Sliced data shape: {sliced_data.shape}")
+
+        # Handle std if available
+        sliced_std = None
+        if hasattr(data, "std") and data.std is not None:
+            try:
+                # Apply the same slicing to std (assumes std has same shape as data)
+                sliced_std = data.std[tuple(index_specs)]
+            except Exception as std_err:
+                logger.warning(f"Failed to slice std: {std_err}")
+                sliced_std = None
+
+        # Handle index
+        sliced_index = None
+        index_dim = None
+        if hasattr(data, "index") and data.index is not None:
+            original_index = data.index
+            # Find which dimension matches the index length
+            for dim_idx, dim_size in enumerate(original_shape):
+                if dim_size == len(original_index):
+                    index_dim = dim_idx
+                    break
+
+            if index_dim is not None:
+                try:
+                    # Apply the slice for the matching dimension
+                    index_slice_spec = index_specs[index_dim]
+                    sliced_index = original_index[index_slice_spec]
+                except Exception as idx_err:
+                    logger.warning(f"Failed to slice index: {idx_err}")
+                    # Create default index for the sliced data
+                    sliced_index = np.arange(
+                        sliced_data.shape[-1]
+                        if sliced_data.ndim > 1
+                        else sliced_data.shape[0]
+                    )
+            else:
+                # No matching dimension found, create default index
+                sliced_index = np.arange(
+                    sliced_data.shape[-1]
+                    if sliced_data.ndim > 1
+                    else sliced_data.shape[0]
+                )
+
+        # Create output filename
+        file_name = (
+            f"sliced_{data.file_name}" if hasattr(data, "file_name") else "sliced_data"
+        )
+
+        # Initialize info dictionary
+        info = {}
+
+        # Get mean timeseries based on the index dimension
+        mean_timeseries = None
+        if sliced_index is not None and index_dim is not None:
+            # Calculate mean over all dimensions except the index dimension
+            other_axes = tuple(i for i in range(sliced_data.ndim) if i != index_dim)
+
+            if other_axes:  # Only if there are other dimensions to average over
+                mean_timeseries = np.mean(sliced_data, axis=other_axes)
+            else:
+                # If only one dimension (the index dimension), use the data as is
+                mean_timeseries = sliced_data
+
+        if mean_timeseries is not None:
+            # Create a FluoData object for mean timeseries with the sliced index
+            mean_ts_data = FluoData(
+                data=mean_timeseries, file_name="mean_timeseries", index=sliced_index
+            )
+            info["mean_timeseries"] = mean_ts_data
+
+        # Create mean image for multi-dimensional data
+        if sliced_data.ndim >= 3 and index_dim is not None:
+            # For 3D+ data, create a spatial average (average over the time dimension)
+            spatial_axes = tuple(i for i in range(sliced_data.ndim) if i != index_dim)
+            if len(spatial_axes) >= 2:
+                mean_image = np.mean(sliced_data, axis=index_dim)
+                mean_img_data = ImageData(
+                    data=mean_image, output_dir=output_dir, file_name="mean_image"
+                )
+                info["mean_image"] = mean_img_data
+
+        # Create sliced data object using return_as_data_type with kwargs
+        output_data = return_as_data_type(
+            data,
+            sliced_data,
+            output_dir,
+            file_name,
+            std=sliced_std,
+            index=sliced_index,
+            output_type=None,
+        )
+        info.update(output_data)
+
+        main_data_object = list(output_data.values())[0]
+        # Build the result dictionary with the main output
+        result = {"sliced_data": main_data_object}
+        # Add any additional outputs
+        if "mean_timeseries" in info:
+            result["mean_timeseries"] = info["mean_timeseries"]
+        if "mean_image" in info:
+            result["mean_image"] = info["mean_image"]
+
+        return result
+
+    except Exception as e:
+        logger.error(f"Error during data slicing: {str(e)}")
+        raise ValueError(f"Data slicing failed: {str(e)}")
diff --git a/studio/app/optinist/wrappers/data_utils/data_transpose.py b/studio/app/optinist/wrappers/data_utils/data_transpose.py
new file mode 100644
index 000000000..b2081284f
--- /dev/null
+++ b/studio/app/optinist/wrappers/data_utils/data_transpose.py
@@ -0,0 +1,107 @@
+import numpy as np
+
+from studio.app.common.core.logger import AppLogger
+from studio.app.common.dataclass.base import BaseData
+from studio.app.optinist.wrappers.data_utils.data_utils_utils import return_as_data_type
+
+
+def data_transpose(
+    data: BaseData,
+    output_dir: str,
+    params: dict = None,
+    **kwargs,
+) -> dict(transposed_data=BaseData):
+    """
+    Transposes data dimensions according to specified permutation.
+
+    Parameters:
+        data (BaseData): Input data to transpose. Can be one of several types:
+                         BehaviorData, CsvData, FluoData, ImageData, or RoiData.
+        output_dir (str): Directory to save the output data.
+        params (dict, optional): Dictionary containing transpose specifications:
+                        - 'transpose_dims': List or comma-separated string specifying
+                            dimension permutation for transpose operation.
+                            Examples:
+                            - "1, 0": Simple 2D transpose (swap rows/columns)
+                            - "1,0,2": String format for rotating 3D data
+                            - If None, defaults to simple transpose for 2D data
+                                or return un-transposed for higher dimensions
+
+    Returns:
+        dict: A dictionary containing the transposed data with preserved metadata
+              and proper data type conversion.
+    """
+    logger = AppLogger.get_logger()
+    logger.info("Starting data transposition")
+
+    # Get dimension permutation from parameters
+    dims = params.get("transpose_dims", None) if params else None
+
+    if dims is not None:
+        if isinstance(dims, str):
+            if dims.strip():  # Only process non-empty strings
+                dims = [int(d.strip()) for d in dims.split(",")]
+            else:
+                dims = None
+        elif isinstance(dims, list):
+            if dims:  # Only process non-empty lists
+                dims = [int(d) if isinstance(d, str) else d for d in dims]
+            else:
+                dims = None
+
+    try:
+        raw_data = data.data
+        ndim = raw_data.ndim
+    except Exception as e:
+        logger.error(f"Unable to access data: {str(e)}")
+        raise ValueError(
+            f"Input data doesn't have accessible .data attribute: {str(e)}"
+        )
+
+    # Set default permutation if none provided
+    if dims is None:
+        if ndim == 2:
+            # For 2D data, use simple transpose
+            dims = [1, 0]
+        else:
+            # For higher dimensions, just use identity (no change)
+            dims = list(range(ndim))
+    else:
+        if isinstance(dims, str):
+            dims = [int(d.strip()) for d in dims.split(",")]
+        elif isinstance(dims, list):
+            dims = [int(d) if isinstance(d, str) else d for d in dims]
+
+    # Validate dimensions
+    if len(dims) != ndim:
+        raise ValueError(
+            f"Dimension mismatch: data has {ndim} dimensions but {len(dims)} specified"
+        )
+
+    logger.info(f"Applying dimension permutation: {dims}")
+
+    try:
+        # Transpose the data
+        tp_data = np.transpose(raw_data, dims)
+        file_name = (
+            f"transposed_{data.file_name}"
+            if hasattr(data, "file_name")
+            else "transposed_data"
+        )
+        logger.info(f"Input data shape: {raw_data.shape}")
+        logger.info(f"Transposed data shape: {tp_data.shape}")
+
+        # Use utility function to return the correct data type
+        output_data = return_as_data_type(
+            data,
+            tp_data,
+            output_dir,
+            file_name,
+            output_type=None,
+        )
+        data_object = list(output_data.values())[0]
+        return {"transposed_data": data_object}
+
+    except Exception as e:
+        logger.error(f"Error during data transposition: {str(e)}")
+        raise ValueError(f"Data transposition failed: {str(e)}")
diff --git a/studio/app/optinist/wrappers/data_utils/data_utils_utils.py b/studio/app/optinist/wrappers/data_utils/data_utils_utils.py
new file mode 100644
index 000000000..dd3a17847
--- /dev/null
+++ b/studio/app/optinist/wrappers/data_utils/data_utils_utils.py
@@ -0,0 +1,96 @@
+from studio.app.common.core.logger import AppLogger
+from studio.app.common.dataclass.base import BaseData
+from studio.app.common.dataclass.csv import CsvData
+from studio.app.common.dataclass.image import ImageData
+from studio.app.optinist.dataclass.behavior import BehaviorData
+from studio.app.optinist.dataclass.fluo import FluoData
+from studio.app.optinist.dataclass.iscell import IscellData
+from studio.app.optinist.dataclass.roi import RoiData
+
+
+def return_as_data_type(data, processed_data, output_dir, file_name, **kwargs):
+    """Helper function to return the correct data type with processed data."""
+    logger = AppLogger.get_logger()
+
+    # Extract kwargs
+    std = kwargs.get("std", None)
+    index = kwargs.get("index", None)
+    output_type = kwargs.get("output_type", None)
+    if isinstance(output_type, str) and output_type.strip() == "":
+        output_type = None
+
+    logger.info(f"Input data type: {type(data).__name__}")
+    if output_type is None:
+        logger.info("No output_type specified, using input data type for output")
+
+    # Determine output type and key based on input type or explicit output_type
+    if output_type in ["behaviors_data", "BehaviorData", "CsvData"] or (
+        output_type is None and isinstance(data, (BehaviorData, CsvData))
+    ):
+        logger.debug("Processing as BehaviorData or CsvData")
+        result = BehaviorData(
+            data=processed_data,
+            std=std,
+            index=index,
+            params={},
+            file_name=file_name,
+        )
+        output_key = "behaviors_data"
+
+    elif output_type in ["neural_data", "FluoData"] or (
+        output_type is None and isinstance(data, FluoData)
+    ):
+        logger.debug("Processing as FluoData")
+        result = FluoData(
+            data=processed_data,
+            std=std,
+            index=index,
+            params={},
+            file_name=file_name,
+            meta=data.meta if hasattr(data, "meta") else None,
+        )
+        output_key = "neural_data"
+
+    elif output_type in ["image_data", "ImageData", "image"] or (
+        output_type is None and isinstance(data, ImageData)
+    ):
+        logger.debug("Processing as ImageData")
+        result = ImageData(
+            data=processed_data,
+            output_dir=output_dir,
+            file_name=file_name,
+            meta=data.meta if hasattr(data, "meta") else None,
+        )
+        output_key = "image"
+
+    elif output_type in ["iscell_data", "IscellData", "iscell"] or (
+        output_type is None and isinstance(data, IscellData)
+    ):
+        result = IscellData(
+            data=processed_data,
+            file_name=file_name,
+        )
+        output_key = "iscell"
+
+    elif output_type in ["roi_data", "RoiData"] or (
+        output_type is None and isinstance(data, RoiData)
+    ):
+        result = RoiData(
+            data=processed_data,
+            output_dir=output_dir,
+            file_name=file_name,
+            meta=data.meta if hasattr(data, "meta") else None,
+        )
+        output_key = "roi"
+
+    else:
+        logger.warning(f"Unknown output_type '{output_type}', defaulting to BaseData")
+        result = BaseData(
+            data=processed_data,
+            params={},
+            file_name=file_name,
+        )
+        output_key = "data"
+
+    logger.info(f"Created {type(result).__name__} with output key: {output_key}")
+    return {output_key: result}
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/fluo_from_hdf5.py b/studio/app/optinist/wrappers/data_utils/fluo_from_hdf5.py
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/fluo_from_hdf5.py
rename to studio/app/optinist/wrappers/data_utils/fluo_from_hdf5.py
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/microscope_to_img.py b/studio/app/optinist/wrappers/data_utils/microscope_to_img.py
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/microscope_to_img.py
rename to studio/app/optinist/wrappers/data_utils/microscope_to_img.py
diff --git a/studio/app/optinist/wrappers/data_utils/params/data_concat.yaml b/studio/app/optinist/wrappers/data_utils/params/data_concat.yaml
new file mode 100644
index 000000000..abbd9d937
--- /dev/null
+++ b/studio/app/optinist/wrappers/data_utils/params/data_concat.yaml
@@ -0,0 +1,18 @@
+# Axis along which to concatenate the data (0=rows/cells, 1=columns/time)
+axis: null
+
+# Optional: specify output dictionary key (behaviors_data, neural_data, image, roi)
+# If not specified, will be inferred from output_type
+output_type: null
+
+# Which axis represents time (for proper index handling)
+time_axis: null
+
+# How to handle standard deviation:
+# - "concatenate": concatenate existing std arrays along concatenation axis
+# - "compute": compute new std from concatenated data along std_axis
+# - "none": no std in output
+std_method: null
+
+# If std_method="compute", which axis to compute std along (default: time_axis)
+std_axis: null
diff --git a/studio/app/optinist/wrappers/data_utils/params/data_slice.yaml b/studio/app/optinist/wrappers/data_utils/params/data_slice.yaml
new file mode 100644
index 000000000..80ccb9e79
--- /dev/null
+++ b/studio/app/optinist/wrappers/data_utils/params/data_slice.yaml
@@ -0,0 +1,2 @@
+# User must specify the slice dimensions in the GUI.
+slice_dims: []
diff --git a/studio/app/optinist/wrappers/data_utils/params/data_transpose.yaml b/studio/app/optinist/wrappers/data_utils/params/data_transpose.yaml
new file mode 100644
index 000000000..2e2223a7f
--- /dev/null
+++ b/studio/app/optinist/wrappers/data_utils/params/data_transpose.yaml
@@ -0,0 +1,2 @@
+# User must specify the transpose dimensions in the GUI.
+transpose_dims: []
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/params/fluo_from_hdf5.yaml b/studio/app/optinist/wrappers/data_utils/params/fluo_from_hdf5.yaml
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/params/fluo_from_hdf5.yaml
rename to studio/app/optinist/wrappers/data_utils/params/fluo_from_hdf5.yaml
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/params/microscope_to_img.yaml b/studio/app/optinist/wrappers/data_utils/params/microscope_to_img.yaml
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/params/microscope_to_img.yaml
rename to studio/app/optinist/wrappers/data_utils/params/microscope_to_img.yaml
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/params/roi_fluo_from_hdf5.yaml b/studio/app/optinist/wrappers/data_utils/params/roi_fluo_from_hdf5.yaml
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/params/roi_fluo_from_hdf5.yaml
rename to studio/app/optinist/wrappers/data_utils/params/roi_fluo_from_hdf5.yaml
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/params/roi_from_hdf5.yaml b/studio/app/optinist/wrappers/data_utils/params/roi_from_hdf5.yaml
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/params/roi_from_hdf5.yaml
rename to studio/app/optinist/wrappers/data_utils/params/roi_from_hdf5.yaml
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/params/vacant_roi.yaml b/studio/app/optinist/wrappers/data_utils/params/vacant_roi.yaml
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/params/vacant_roi.yaml
rename to studio/app/optinist/wrappers/data_utils/params/vacant_roi.yaml
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/roi_fluo_from_hdf5.py b/studio/app/optinist/wrappers/data_utils/roi_fluo_from_hdf5.py
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/roi_fluo_from_hdf5.py
rename to studio/app/optinist/wrappers/data_utils/roi_fluo_from_hdf5.py
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/roi_from_hdf5.py b/studio/app/optinist/wrappers/data_utils/roi_from_hdf5.py
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/roi_from_hdf5.py
rename to studio/app/optinist/wrappers/data_utils/roi_from_hdf5.py
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/vacant_roi.py b/studio/app/optinist/wrappers/data_utils/vacant_roi.py
similarity index 100%
rename from studio/app/optinist/wrappers/optinist/visualize_utils/vacant_roi.py
rename to studio/app/optinist/wrappers/data_utils/vacant_roi.py
diff --git a/studio/app/optinist/wrappers/lccd/conda/lccd.yaml b/studio/app/optinist/wrappers/lccd/conda/lccd.yaml
index 784f13718..6f9568e28 100644
--- a/studio/app/optinist/wrappers/lccd/conda/lccd.yaml
+++ b/studio/app/optinist/wrappers/lccd/conda/lccd.yaml
@@ -2,10 +2,13 @@
 dependencies:
   - python=3.9
   - pip
+  - h5py>=3.8.0
   - pip:
     # - pandas
     # - argparse
     # - joblib
     - numpy==1.23.*
+    - pandas==1.5.*
     - scipy==1.9.*
     - scikit-image==0.19.*
+    - matplotlib
diff --git a/studio/app/optinist/wrappers/optinist/__init__.py b/studio/app/optinist/wrappers/optinist/__init__.py
index 0d2c25018..0b7a2c62f 100644
--- a/studio/app/optinist/wrappers/optinist/__init__.py
+++ b/studio/app/optinist/wrappers/optinist/__init__.py
@@ -10,7 +10,6 @@
 from studio.app.optinist.wrappers.optinist.neural_population_analysis import (
     neural_population_analysis_wrapper_dict,
 )
-from studio.app.optinist.wrappers.optinist.visualize_utils import utils_wrapper_dict
 
 optinist_wrapper_dict = {
     "optinist": {
@@ -18,6 +17,5 @@
         "dimension_reduction": dimension_reduction_wrapper_dict,
         "neural_decoding": neural_decoding_wrapper_dict,
         "neural_population_analysis": neural_population_analysis_wrapper_dict,
-        "utils": utils_wrapper_dict,
     }
 }
diff --git a/studio/app/optinist/wrappers/optinist/conda/optinist.yaml b/studio/app/optinist/wrappers/optinist/conda/optinist.yaml
index 3f5665798..c8611b333 100644
--- a/studio/app/optinist/wrappers/optinist/conda/optinist.yaml
+++ b/studio/app/optinist/wrappers/optinist/conda/optinist.yaml
@@ -3,6 +3,7 @@ dependencies:
   - python=3.9
   - numpy<2
   - pip
+  - h5py>=3.8.0
   - pip:
       - scikit-learn==1.1.*
       - statsmodels==0.13.*
@@ -10,3 +11,5 @@ dependencies:
       - numexpr
       - numba
       - dpca
+      - tifffile==2022.3.*
+      - matplotlib
diff --git a/studio/app/optinist/wrappers/optinist/visualize_utils/__init__.py b/studio/app/optinist/wrappers/optinist/visualize_utils/__init__.py
deleted file mode 100644
index 6b785ad09..000000000
--- a/studio/app/optinist/wrappers/optinist/visualize_utils/__init__.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from studio.app.optinist.wrappers.optinist.visualize_utils.fluo_from_hdf5 import (
-    fluo_from_hdf5,
-)
-from studio.app.optinist.wrappers.optinist.visualize_utils.microscope_to_img import (
-    microscope_to_img,
-)
-from studio.app.optinist.wrappers.optinist.visualize_utils.roi_fluo_from_hdf5 import (
-    roi_fluo_from_hdf5,
-)
-from studio.app.optinist.wrappers.optinist.visualize_utils.roi_from_hdf5 import (
-    roi_from_hdf5,
-)
-from studio.app.optinist.wrappers.optinist.visualize_utils.vacant_roi import vacant_roi
-
-utils_wrapper_dict = {
-    "microscope_to_img": {
-        "function": microscope_to_img,
-        "conda_name": "microscope",
-    },
-    "fluo_from_hdf5": {
-        "function": fluo_from_hdf5,
-        "conda_name": "optinist",
-    },
-    "roi_from_hdf5": {
-        "function": roi_from_hdf5,
-        "conda_name": "optinist",
-    },
-    "roi_fluo_from_hdf5": {
-        "function": roi_fluo_from_hdf5,
-        "conda_name": "optinist",
-    },
-    "vacant_roi": {
-        "function": vacant_roi,
-        "conda_name": "optinist",
-    },
-}
diff --git a/studio/config/docker/Dockerfile b/studio/config/docker/Dockerfile
index 1dc0afc32..c6c04bff1 100644
--- a/studio/config/docker/Dockerfile
+++ b/studio/config/docker/Dockerfile
@@ -1,4 +1,4 @@
-FROM --platform=linux/amd64 python:3.9-slim
+FROM --platform=linux/amd64 python:3.11-slim
 
 WORKDIR /app
 
diff --git a/studio/config/docker/Dockerfile.dev b/studio/config/docker/Dockerfile.dev
index 045e241a4..6df26c03b 100644
--- a/studio/config/docker/Dockerfile.dev
+++ b/studio/config/docker/Dockerfile.dev
@@ -1,4 +1,4 @@
-FROM --platform=linux/amd64 python:3.9-slim
+FROM --platform=linux/amd64 python:3.11-slim
 
 WORKDIR /app
 
diff --git a/studio/config/docker/Dockerfile.test b/studio/config/docker/Dockerfile.test
index 20af0711b..be3c33728 100644
--- a/studio/config/docker/Dockerfile.test
+++ b/studio/config/docker/Dockerfile.test
@@ -1,4 +1,4 @@
-FROM --platform=linux/amd64 python:3.9-slim
+FROM --platform=linux/amd64 python:3.11-slim
 
 WORKDIR /app