Automated preprocessing → segmentation → tracking → analysis for fluorescence microscopy.

• Preprocessing: Classical (rolling-ball + median) or N2V-style denoising
• Segmentation: Omnipose cyto2_omni (Otsu fallback if unavailable)
• Tracking: Hungarian algorithm centroid linking
• Analysis: Cell count, area, survival metrics

pip install -r requirements.txt
python -c "from src import ClassicalPreprocessor, OmniposeSegmenter; print('ok')"

• Omnipose: https://github.com/kevinjohncutler/omnipose
• CSBDeep / N2V: https://github.com/csbdeep/csbdeep