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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.

SUBMITTER: Lu AX 

PROVIDER: S-EPMC6821424 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Publications

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

Lu Alex X AX   Zarin Taraneh T   Hsu Ian S IS   Moses Alan M AM  

Bioinformatics (Oxford, England) 20191101 21


<h4>Summary</h4>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.<h4>Availability and implementation</h4>YeastSpotter is available at http://yeastspotter.csb.utoronto.ca/. Code is available at https://github.com/alexxijielu/yeast_segmentation.<h4>Supplementary information  ...[more]

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