A curated list of scientific image analysis resources and software tools.
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Updated
Jan 20, 2026
A curated list of scientific image analysis resources and software tools.
🔭🪐☄️ Reproducible, scriptable stacking pipeline for DWARF 3 smart telescope FITS data with transparent frame selection, registration, and science-grade linear outputs.
A Qt-based desktop photo editor featuring a two-pane workflow and a powerful, asynchronous plugin architecture built on nexuslua.
Collection of LabView subVIs for acquisition from Photometrics Prime 95B camera using PVCAM SDK
A C++ library for image I/O using ImageMagick and cfitsio, designed as a nexuslua plugin for asynchronous image processing.
A header-only C++ library for type-safe, high-dynamic-range image containers and fundamental image processing utilities.
A PyQt6 GUI for scientific image analysis, simplifying batch processing, contrast enhancement, and heatmap generation. Features AI-powered segmentation and quantification using the Segment Anything Model (SAM).
💎 LTS Industrial Standard: PDF/Word optimization with scientific Trellis Mimic engine. Features Turbo Parallel processing & Global Camouflage (Ricoh/Fujitsu/Canon 2025 profiles). Embedded Python 3.12, zero-install, no admin needed. Ultimate document privacy for Windows LTSC/Enterprise.
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