Moises Di Sante

This paper introduces LigHTS, a method to create biomimetic hydrogels in standard microplates for high-throughput screening, enabling tunable thickness and topography with improved reproducibility.

CALIPERS enables cell cycle-aware live imaging by integrating a modified FUCCI variant, analysis software, and reporter lines for phenotyping and regeneration studies.

This paper develops deep learning networks to accurately decode cell cycles from multiplexed FUCCI imaging, enabling robust segmentation and pseudotime analysis.

This paper introduces a system to simultaneously track cell migration and cell-cycle phases under confinement, revealing CC-migration correlations and confinement effects on cell behavior.

HYDRA is an automated method for creating hydrogel layers in HTS plates to improve drug testing by mimicking physiological conditions and avoiding meniscus formation.

MicroSplit uses deep learning to computationally unmix fluorescent microscopy data, enabling faster imaging and reduced photon exposure by separating multiple cellular structures from a single channel.