Skip to content

Coming_soon.md

Latest commit

 

History

History
55 lines (39 loc) · 2.54 KB

Coming_soon.md

File metadata and controls

55 lines (39 loc) · 2.54 KB

🗺️ Project Roadmap & Coming Soon

This document tracks planned features, with a focus on items currently visible as "Coming Soon" in the software interface.

🛑 Urgent Repairs (High Impact)

1. Re-enable Viewer Legend

Status: Currently disabled in GUI due to crashes ("Legend (Coming Soon)"). Goal: Restore the color scalar bar to interpret heatmap values quantitatively.

  • Fix: Implement a robust, thread-safe overlay (using vedo 2D text or a static image) that doesn't conflict with the customtkinter main loop.

🟡 Medium Complexity (Planned Features)

2. Allen Streamlines Integration

Status: "Streamlines (Tubes)" mode is currently a placeholder or experimental. Goal: Visualize single-cell-like calculated streamlines to complement density clouds (fMOST style).

  • Miner Update (extract_tracts.py): Fetch projection_lines (JSON) from Allen API.
  • Rendering Logic: Update rendering.py to support .json actors using brainrender style (lines vs meshes).

3. Advanced Metrics Aggregation (Miner)

Status: In Miner GUI, metrics like "Projection Energy" and "Projection Volume" are marked as "(Coming Soon)". Goal: Allow analysis based on different physical properties of the signal.

  • Miner Update: Implement download logic for projection_energy volumes.
  • Aggregation Logic: Update aggregate.py to process these new metric types correctly.

4. Variance & Statistical Confidence

Goal: Identify reliable biological targets by analyzing inter-animal variability.

  • Miner Update: Calculate std (standard deviation) alongside mean.
  • Analysis Notebook: Visualize Confidence (Mean vs Variance) and filter by Coefficient of Variation.

🟢 Low Complexity (Enhancements)

Data & Mining

  • Advanced Metadata Scraping: Investigate additional fields (e.g., exact injection coordinates, transgenic line info).
  • 2D Image Download: Fetch high-res 2D images of injection sites.
  • Smart Caching: Hash-based checks to prevent re-downloading existing data.

🔴 High Complexity (Long Term)

🧬 Gene Expression Integration

Goal: Cross-reference connectivity with Gene Expression Atlas data.

  • Dedicated Miner (gene_miner.py): Fetch 3D expression volumes (Energy/Density) for specific genes (Tph2, Slc6a4).
  • Lego-Style Visualization: Implement Voxel rendering mode.
  • GUI Integration: "Gene Search" box to load genes dynamically.

Note: This file replaces the previous ROADMAP.md.