J 2014

Objective Comparison of Particle Tracking Methods

CHENOUARD, Nicolas, Ihor SMAL, Fabrice DE CHAUMONT, Martin MAŠKA, Ivo F SBALZARINI et. al.

Basic information

Original name

Objective Comparison of Particle Tracking Methods

Authors

CHENOUARD, Nicolas (250 France), Ihor SMAL (804 Ukraine), Fabrice DE CHAUMONT (250 France), Martin MAŠKA (203 Czech Republic, guarantor, belonging to the institution), Ivo F SBALZARINI (756 Switzerland), Yuanhao GONG (156 China), Janick CARDINALE (756 Switzerland), Craig CARTHEL (840 United States of America), Stefano CORALUPPI (840 United States of America), Mark WINTER (840 United States of America), Andrew R COHEN (840 United States of America), William J GODINEZ (276 Germany), Karl ROHR (276 Germany), Yannis KALAIDZIDIS (300 Greece), Liang LIANG (156 China), James DUNCAN (840 United States of America), Hongying SHEN (156 China), Yingke XU (156 China), Klas E G MAGNUSSON (752 Sweden), Joakim JALDÉN (752 Sweden), Helen M BLAU (826 United Kingdom of Great Britain and Northern Ireland), Perrine PAUL-GILLOTEAUX (250 France), Philippe ROUDOT (250 France), Charles KERVRANN (250 France), François WAHARTE (250 France), Jean-Yves TINEVEZ (250 France), Spencer L SHORTE (826 United Kingdom of Great Britain and Northern Ireland), Joost WILLEMSE (528 Netherlands), Katherine CELLER (124 Canada), Gilles P VAN WEZEL (528 Netherlands), Han-Wei DAN (158 Taiwan), Yuh-Show TSAI (158 Taiwan), Carlos ORTIZ-DE-SOLÓRZANO (724 Spain), Jean-Christophe OLIVO-MARIN (250 France) and Erik MEIJERING (528 Netherlands)

Edition

Nature Methods, 2014, 1548-7091

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 32.072

RIV identification code

RIV/00216224:14330/14:00074917

Organization unit

Faculty of Informatics

UT WoS

000332086100020

Keywords in English

Particle tracking;performance comparison;fluorescence microscopy

Tags

Tags

International impact, Reviewed
Změněno: 27/4/2015 21:48, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

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.

Links

EE2.3.30.0009, research and development project
Name: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci