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Updated: Jan 24, 2026

4D Microscopy of Yeast
Published on: April 28, 2019
YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells
Alex X Lu1, Taraneh Zarin2, Ian S Hsu2
1Department of Computer Science, University of Toronto, Toronto, ON, Canada.
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.
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