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Implemented a Jupyter notebook for colocalization analysis of fluorescence microscopy images. The notebook, named "coloc_analysis.ipynb" and located in the "notebooks" folder, demonstrates the process of separating red and green channels, segmenting nuclei using thresholding, identifying colocalized nuclei, and calculating the ratio of nuclei present in both channels. The analysis uses the image "coloc_example.png" stored in the "data" folder, with appropriate citations for source and license. The notebook contains step-by-step explanations for Python beginners.
This message was generated by git-bob (version: 0.3.0, model: gpt-4o-2024-08-06), an experimental AI-based assistant. It can make mistakes and has limitations. Check its messages carefully.
Implemented a Jupyter notebook for colocalization analysis of fluorescence microscopy images. The notebook, named "coloc_analysis.ipynb" and located in the "notebooks" folder, demonstrates the process of separating red and green channels, segmenting nuclei using thresholding, identifying colocalized nuclei, and calculating the ratio of nuclei present in both channels. The analysis uses the image "coloc_example.png" stored in the "data" folder, with appropriate citations for source and license. The notebook contains step-by-step explanations for Python beginners.
closes #6