Objective Comparison of Particle Tracking Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00074917" target="_blank" >RIV/00216224:14330/14:00074917 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1038/nmeth.2808" target="_blank" >http://dx.doi.org/10.1038/nmeth.2808</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/nmeth.2808" target="_blank" >10.1038/nmeth.2808</a>

Result language
angličtina
Original language name
Objective Comparison of Particle Tracking Methods
Original language description
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, leadingto notable practical conclusions for users and developers.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
<a href="/en/project/EE2.3.30.0009" target="_blank" >EE2.3.30.0009: Employment of Newly Graduated Doctors of Science for Scientific Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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