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Model organisms with compact genomes, such as yeast and Caenorhabditis elegans, are particularly useful for understanding organism growth and life/cell cycle. Organism morphology is a critical parameter to measure in monitoring growth and stage in the life cycle. However, manual measurements are both time consuming and potentially inaccurate, due to variations among users and user fatigue. In this paper we present an automated method to segment bright-field images of fission yeast, buddingdoi:10.1242/bio.037788 fatcat:rfbp4xdfdrcy5op5nbjkl3nt2m