Objective comparison of particle tracking methods
2014 (English)In: Nature Methods, ISSN 1548-7091, E-ISSN 1548-7105, Vol. 11, no 3, 281-U247 p.Article in journal (Refereed) Published
Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy image data. Because manually detecting and following large numbers of individual particles is not feasible, automated computational methods have been developed for these tasks by many groups. Aiming to perform an objective comparison of methods, we gathered the community and organized an open competition in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios. Performance was assessed using commonly defined measures. Although no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to notable practical conclusions for users and developers.
Place, publisher, year, edition, pages
2014. Vol. 11, no 3, 281-U247 p.
Atomic-Force Microscopy, Automated Tracking, Fluorescence Microscopy, Dynamic Properties, Video Microscopy, Living Cells, Images, Segmentation, Algorithms, Transport
Biochemistry and Molecular Biology
IdentifiersURN: urn:nbn:se:kth:diva-144559DOI: 10.1038/nmeth.2808ISI: 000332086100020ScopusID: 2-s2.0-84895512107OAI: oai:DiVA.org:kth-144559DiVA: diva2:714133
FunderSwedish Research Council, 621-2011-5884EU, FP7, Seventh Framework Programme
QC 201404252014-04-252014-04-242014-04-25Bibliographically approved