Lu AX, Zarin T, Hsu IS, Moses AM
Bioinformatics 2019 35(21):4525-4527. 10.1093/bioinformatics/btz402 PMID:31095270
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.