Bianca Migliori

This paper introduces LCTP, a workflow for analyzing live-cell time series data to improve mode of action classification by capturing temporal phenotypes across compounds and cell lines.

The paper uses iPSC-derived glia cultures from MS patients to identify glia-intrinsic disease mechanisms and potential therapeutic targets.

FocA is a deep learning tool that identifies in-focus and out-of-focus images in automated cell assays, improving data quality and workflow efficiency.

This study uses patient-derived forebrain organoids to investigate the effects of a CNTNAP2 mutation on cortical development, finding increased cell proliferation and differential gene expression associated with ASD.

This paper introduces Light Sheet Theta Microscopy (LSTM) for high-resolution quantitative imaging of large biological systems, showing it achieves superior uniform resolution compared to traditional Light Sheet Microscopy.