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