Mining Morphological Features of Neurons with PRISM
In this video, Beth Cimini talks about the use of machine learning for morphological profiling, extracting many features of the cells to build up its “fingerprint.”
Beth Cimini, PhD
Beth Cimini is the lead image assay developer in the Carpenter Lab at the Broad Institute, collaborating with researchers around the world to build custom open-source image analysis workflows. She is also the co-maintainer of the lab's CellProfiler software. Always passionate about microscopy, she received her BA from Boston University while studying cholinergic signaling in the salamander retina, and her PhD in biochemistry and molecular biology from the University of California, San Francisco, studying telomere biology in cancer cells.