Shirsa Udgata

The paper develops an automated image analysis pipeline for wide-field optical redox imaging of patient-derived cancer organoids, achieving high accuracy and significantly faster processing than manual methods.

This study uses wide-field optical redox imaging to assess treatment response and heterogeneity in colorectal cancer organoids, showing improved sensitivity and accuracy compared to existing methods.

This paper validates Cellpose as a reliable method for segmenting single cells in autofluorescence microscopy images, showing high accuracy compared to manual segmentation.