TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning - Edwards, Parker; Skruber, Kristen; Milićević, Nikola; Heidings, James B.; Read, Tracy-Ann; Bubenik, Peter; Vitriol, Eric A. (Patterns (New York, N.Y.), 2021)
Keywords: actin cytoskeleton; fluorescence microscopy; image classification; image segmentation; machine learning; persistence landscapes; persistent homology; topological data analysis; actin cytoskeleton; image classification; image segmentation; topological data analysis; persistent homology; persistence landscapes; DSML 3: Development/Pre-production: Data science output has been rolled out/validated across multiple domains/problems; machine learning; fluorescence microscopy