"CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data"

Background Time-lapse analysis of cellular images is an important and growing need in biology. Algorithms for cell tracking are widely available; what researchers have been missing is a single open-source software package to visualize standard tracking output (from software like CellProfiler) in a way that allows convenient assessment of track quality, especially for researchers tuning tracking parameters for high-content time-lapse experiments. This makes quality assessment and algorithm adjustment a substantial challenge, particularly when dealing with hundreds of time-lapse movies collected in a high-throughput manner. Results We present CellProfiler Tracer, a free and open-source tool that complements the object tracking functionality of the CellProfiler biological image analysis package. Tracer allows multi-parametric morphological data to be visualized on object tracks, providing visualizations that have already been validated within the scientific community for time-lapse experiments, and combining them with simple graph-based measures for highlighting possible tracking artifacts. Conclusions CellProfiler Tracer is a useful, free tool for inspection and quality control of object tracking data, available from http://www.cellprofiler.org/tracer/. Electronic supplementary material The online version of this article (doi:10.1186/s12859-015-0759-x) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s12859-015-0759-x
PID pmid:26537300
PID pmc:PMC4634901
URL https://doi.org/10.1186/s12859-015-0759-x
URL http://dx.doi.org/10.1186/s12859-015-0759-x
URL https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-015-0759-x
URL https://link.springer.com/article/10.1186/s12859-015-0759-x
URL https://paperity.org/p/74480433/cellprofiler-tracer-exploring-and-validating-high-throughput-time-lapse-microscopy-image
URL https://academic.microsoft.com/#/detail/2165848594
URL https://core.ac.uk/display/81598077
URL https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi16.html#BrayC15
URL https://dx.doi.org/10.1186/s12859-015-0759-x
URL http://europepmc.org/articles/PMC4634901
URL http://link.springer.com/article/10.1186/s12859-015-0759-x/fulltext.html
URL https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0759-x
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634901/
URL https://0-bmcbioinformatics-biomedcentral-com.brum.beds.ac.uk/articles/10.1186/s12859-015-0759-x
URL http://link.springer.com/content/pdf/10.1186/s12859-015-0759-x.pdf
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Access Right Open Access
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Author Anne E. Carpenter, 0000-0003-1555-8261
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Collected From Europe PubMed Central; PubMed Central; ORCID; Datacite; UnpayWall; Crossref; Microsoft Academic Graph; CORE (RIOXX-UK Aggregator)
Hosted By Europe PubMed Central; SpringerOpen; BMC Bioinformatics
Publication Date 2015-11-04
Publisher Springer Nature
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::84f0637edba271d55153efa455898566
Author jsonws_user
Last Updated 23 December 2020, 10:27 (CET)
Created 23 December 2020, 10:27 (CET)