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Two-Photon Microscope Data Annotator

Calcium-imaging experiments produce thousands of frames. Researchers still need to find tiny neurons, track them across sessions, and compare their activity over time.

PythonPyQtNumPyscikit-imagePhase Correlation

The application aligns microscopy scans using phase correlation, giving researchers a consistent frame of reference across recording sessions before annotation begins.

Manual and intensity-aware tools help identify small neurons. Every selected region immediately exposes its fluorescence trace for inspection.

Background processing keeps expensive work away from the interface, while disk-backed caching makes large image sequences practical without requiring all frames to remain in memory.

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