YeastSpotter: Accurate and parameter-free web segmentation for microscopy images of yeast cells

Abstract

Summary: We introduce YeastSpotter, a web application for the segmentation of yeast microscopy images into single cells. YeastSpotter is user-friendly and generalizable, reducing the computational expertise required for this critical preprocessing step in many image analysis pipelines. Availability and implementation: YeastSpotter is available at http://yeastspotter.csb.utoronto.ca/. Code is available at https://github.com/alexxijielu/yeast-segmentation. Supplementary information: Supplementary data are available at Bioinformatics online.