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LEVER: software tools for segmentation, tracking and lineaging of proliferating cells

Winter, Mark, Mankowski, Walter, Wait, Eric, Temple, Sally, Cohen, Andrew R.
Bioinformatics 2016 v.32 no.22 pp. 3530-3531
algorithms, automation, bioinformatics, cell proliferation, clones, computer software, image analysis, neoplasm cells, neoplasms, phase-contrast microscopy, vertebrates
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. Availability and Implementation: LEVER is available free and open source, licensed under the GNU GPLv3. Details on obtaining and using LEVER are available at Contact: