Michael J. Lippincott

The paper introduces CytoTable, a software package that harmonizes single-cell image-based profiling data from different tools, enabling reproducible and scalable data integration.

This paper uses high-content live-cell time-lapse imaging to predict apoptosis in HeLa cells using machine learning, detecting it 100 minutes after treatment with Staurosporine.

The paper characterizes pyroptosis using secretome profiling and morphology analysis, revealing complex connections with apoptosis through machine learning models.

The paper shows that protein abundance is often poorly predicted from mRNA levels and that interacting proteins' transcripts better predict protein abundance.