YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells.
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- Record sourced from PubMed, PMID 31095270.
- Also identified by DOI 10.1093/bioinformatics/btz402 and PMC identifier 6821424.
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Abstract
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. YeastSpotter is available at http://yeastspotter.csb.utoronto.ca/. Code is available at https://github.com/alexxijielu/yeast_segmentation. Supplementary data are available at Bioinformatics online.
Medical subject headings
- Microscopy
- Software