Original paper

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

Volume: 35, Issue: 21, Pages: 4525 - 4527
Published: May 16, 2019
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...
Paper Details
Title
YeastSpotter: accurate and parameter-free web segmentation for microscopy images of yeast cells
Published Date
May 16, 2019
Volume
35
Issue
21
Pages
4525 - 4527
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