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EMT_data_analysis/tracking_Aug2024/FeatureExtraction.md
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Core Algorithm (UNCHANGED)
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The actual feature computation logic remained the same throughout:
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+ ```
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for z in range(seg_img.shape[0]):
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mask = seg_img[z] > 0
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area = np.sum(mask)
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mean_intensity = np.mean(raw_img[z][mask]) if area > 0 else 0
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total_intensity = np.sum(raw_img[z][mask]) if area > 0 else 0
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This Z-plane-by-Z-plane computation of:
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- Area of all cells mask
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