EpiCure (Epithelial Curation): a versatile and handy tool for curation of epithelial segmentation

Despite advances in deep-learning and bioimage analysis, manual curation of segmented and tracking data is still required to extract accurate quantitative single cell temporal information from large tissue/embryo movies. However, very few tools address specifically this challenge. We present here EpiCure (Epithelial Curation), a versatile tool designed to streamline and accelerate manual curation of segmentation and tracking in 2D movies of large epithelial tissues. EpiCure uses temporal information and morphometric parameters to automatically identify segmentation and tracking errors and provides user-friendly tools to correct them. It focuses on ergonomics and offers visualization options to help navigating in movies covering a large number of cells, speeding up the detection and curation of errors. EpiCure is highly interoperable, supports input from diverse segmentation tools and includes multiple export filters enabling seamless integration with downstream analysis pipelines. Using movies from several animal models, we highlight the importance of curating cell segmentation and tracking for accurate downstream analysis, and how EpiCure helps extracting single cell dynamics and detecting cellular events on large dataset.