CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data.
CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data.
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DOI:
10.1186/s12859-015-0759-x
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发表时间:
2015-11-04
影响因子:
3
通讯作者:
Carpenter AE
中科院分区:
文献类型:
--
作者:
Bray MA;Carpenter AE
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. 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. CellProfiler Tracer is a useful, free tool for inspection and quality control of object tracking data, available from http://www.cellprofiler.org/tracer/. The online version of this article (doi:10.1186/s12859-015-0759-x) contains supplementary material, which is available to authorized users.