Paper Info
Title
CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data.
Abstract
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/ .
Year
DOI
Venue
2015
10.1186/s12859-015-0759-x
BMC Bioinformatics
Keywords
Field
DocType
CellProfiler, Time lapse, Quality assessment, Fluorescence microscopy, Image analysis, Data visualization, Data exploration
Computer vision,Data visualization,Data exploration,Cell tracking,Computer science,Time-lapse microscopy,Software,Artificial intelligence,Throughput,Bioinformatics
Journal
Volume
Issue
ISSN
16
1
1471-2105
Citations 
PageRank 
References 
3
0.55
9
Authors
2
Name
Order
Citations
PageRank
Mark-Anthony Bray1757.42
Anne E. Carpenter213712.90