LEVER: software tools for segmentation, tracking and lineaging of proliferating cells
Author(s) -
Mark Winter,
Walter Mankowski,
Eric Wait,
Sally Temple,
Andrew R. Cohen
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw406
Subject(s) - lever , computer science , segmentation , computer vision , software , tracking (education) , artificial intelligence , image segmentation , open source , image processing , interface (matter) , contrast (vision) , phase contrast microscopy , computer graphics (images) , computer hardware , image (mathematics) , optics , programming language , psychology , pedagogy , physics , bubble , quantum mechanics , maximum bubble pressure method , parallel computing
The analysis of time-lapse images showing cells dividing to produce clones of related cells is an important application in biological microscopy. Imaging at the temporal resolution required to establish accurate tracking for vertebrate stem or cancer cells often requires the use of transmitted light or phase-contrast microscopy. Processing these images requires automated segmentation, tracking and lineaging algorithms. There is also a need for any errors in the automated processing to be easily identified and quickly corrected. We have developed LEVER, an open source software tool that combines the automated image analysis for phase-contrast microscopy movies with an easy-to-use interface for validating the results and correcting any errors.
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