Isabel Barnfather

iSCALE predicts super-resolution gene expression and annotates tissue architecture in large tissues, revealing features missed by conventional spatial transcriptomics.

This paper develops a 3D virtual H&E staining method using holotomography and deep learning for cancer tissues, validated on colon and gastric cancer samples.

This study shows that TMPRSS11B promotes an acidified and immunosuppressive tumor microenvironment in lung squamous cell carcinoma, suggesting it as a therapeutic target.

MSI-SEER uses deep Gaussian processes to predict microsatellite instability from histology images, achieving high accuracy in MSI prediction and ICI response prediction.