|Publication Type||Journal Article|
|Year of Publication||2015|
|Authors||Bray, M-A, Carpenter, AE|
|Date Published||2015 Nov 04|
|Keywords||Cell Tracking, Humans, Image Processing, Computer-Assisted, MCF-7 Cells, Microscopy, Reproducibility of Results, Software, Time-Lapse Imaging, User-Computer Interface|
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/.
|Alternate Journal||BMC Bioinformatics|
|PubMed Central ID||PMC4634901|
|Grant List||R01 GM089652 / GM / NIGMS NIH HHS / United States |
NIH R01 GM089652 / GM / NIGMS NIH HHS / United States