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Speaker: Woody March-Steinman, Program in Applied Mathematics
Title: Some approaches to live cell imaging annotation and analysis
Abstract: 1) Annotating images across time-lapse movies of live cell experiments is necessary for answering many kinds of scientific questions. Here, we present one method for annotating dead cells that can be applied post-hoc to existing cell tracking pipelines and datasets without the need for extensive computational processing. The goal of this project is to produce a tool that is agnostic to cell type and imaging technology.
2) We produce a machine learning pipeline for annotation of tissue patterns in 2D colonic organoids, produced by seeding colon tissue samples on a matrigel surface after processing. The segmentation masks are validated and used for further downstream spatiotemporal analysis to elucidate the effects of drugs on stem cell niches in organoids.