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Deep Learning Predicts Image-based Metabolic Activity Readout from Phase-Contrast Images Using MTT Formazan Color Intensity as Biochemical Validation
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DOI：10.1016/j.snr.2026.100476.png)
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Abstract
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• CNN predicts metabolic readout directly from label-free phase-contrast images. • Simple bright-field images provide ground truth labels for quantifying MTT formazan. • Modified ResNet-18 regression shows strong accuracy within and across cell lines (CORR=0.97).
Keywords:
Deep learning
metabolic activity
MTT
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