Santosh Kumar Paidi

This study evaluates PS-SINS for predicting high-concentration viscosity of IgG1 antibodies, showing strong correlation with viscosity and improved model accuracy when combined with in silico data and DLS.

RamanMAE uses masked autoencoders to learn spectral representations from Raman data, enabling efficient processing and noise reduction in biological imaging.

CellSNAP improves 3D cell segmentation in quantitative phase imaging by being faster, more robust, and better at handling clumped cells and interferogram drifts.

This study uses adaptive optical two-photon fluorescence microscopy to investigate retinal microvascular and neuronal pathologies in vivo, revealing microvascular lesions and pharmacological effects.