Fig. 5: Differentiation between live and dead organoids via radiomics-based classification of OCM data. | Light: Science & Applications

Fig. 5: Differentiation between live and dead organoids via radiomics-based classification of OCM data.

From: Optical coherence photoacoustic microscopy for 3D cancer model imaging with AI-assisted organoid analysis

Fig. 5: Differentiation between live and dead organoids via radiomics-based classification of OCM data.

a Example OCM images of unlabeled organoids and subsequent FLM images after acridine orange (green channel for living cells) and propidium iodide staining (red channel for dead cells) of the same organoids for viability classification. Scale bar: 50 µm. b Receiver operating characteristic (ROC) curve for the XGBoost classifier obtained on 10 folds

Back to article page