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Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
Published on: December 16, 2015
Lineage mapper: A versatile cell and particle tracker
Joe Chalfoun1, Michael Majurski1, Alden Dima1
1Information Technology Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg MD, 20899, USA.
Abstract:
The ability to accurately track cells and particles from images is critical to many biomedical problems. To address this, we developed Lineage Mapper, an open-source tracker for time-lapse images of biological cells, colonies, and particles. Lineage Mapper tracks objects independently of the segmentation method, detects mitosis in confluence, separates cell clumps mistakenly segmented as a single cell, provides accuracy and scalability even on terabyte-sized datasets, and creates division and/or fusion lineages. Lineage Mapper has been tested and validated on multiple biological and simulated problems. The software is available in ImageJ and Matlab at isg.nist.gov.
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