Automated cell segmentation in FIJI® using the DRAQ5 nuclear dye
Abstract Background Image segmentation and quantification are essential steps in quantitative cellular analysis. In this work, we present a fast, customizable, and unsupervised cell segmentation method that is based solely on Fiji (is just ImageJ)®, one of the most commonly used open-source software...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-01-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2602-2 |