Objective comparison of particle tracking methods

被引：607

作者：

Chenouard, Nicolas ^{[1
,2
,3
]}

Smal, Ihor ^{[4
,5
]}

de Chaumont, Fabrice ^{[1
]}

Maska, Martin ^{[6
,7
]}

Sbalzarini, Ivo F. ^{[8
]}

Gong, Yuanhao ^{[8
]}

Cardinale, Janick ^{[8
]}

Carthel, Craig ^{[9
]}

Coraluppi, Stefano ^{[9
]}

Winter, Mark ^{[10
]}

Cohen, Andrew R. ^{[10
]}

Godinez, William J. ^{[11
,12
]}

Rohr, Karl ^{[11
,12
]}

Kalaidzidis, Yannis ^{[13
,14
]}

Liang, Liang ^{[15
]}

Duncan, James ^{[15
]}

Shen, Hongying ^{[16
]}

Xu, Yingke ^{[17
]}

Magnusson, Klas E. G. ^{[18
]}

Jalden, Joakim ^{[18
]}

Blau, Helen M. ^{[19
]}

Paul-Gilloteaux, Perrine ^{[20
]}

Roudot, Philippe ^{[21
]}

Kervrann, Charles ^{[21
]}

Waharte, Francois ^{[20
]}

Tinevez, Jean-Yves ^{[22
]}

Shorte, Spencer L. ^{[22
]}

Willemse, Joost ^{[23
]}

Celler, Katherine ^{[23
]}

van Wezel, Gilles P. ^{[23
]}

Dan, Han-Wei ^{[24
]}

Tsai, Yuh-Show ^{[24
]}

Ortiz de Solorzano, Carlos ^{[6
]}

Olivo-Marin, Jean-Christophe ^{[1
]}

Meijering, Erik ^{[4
,5
]}

机构：

[1] CNRS, Inst Pasteur, Unite Analyse Images Quantitat, Unite Rech Associee 2582, Paris, France

[2] Ecole Polytech Fed Lausanne, Biomed Imaging Grp, Lausanne, Switzerland

[3] NYU Med Ctr, Inst Neurosci, New York, NY 10016 USA

[4] Erasmus Univ, Dept Med Informat, Med Ctr, NL-3000 DR Rotterdam, Netherlands

[5] Erasmus Univ, Med Ctr, Dept Radiol, Rotterdam, Netherlands

[6] Univ Navarra, Ctr Appl Med Res, E-31080 Pamplona, Spain

[7] Masaryk Univ, Ctr Biomed Image Anal, Brno, Czech Republic

[8] Max Planck Inst Mol Cell Biol & Genet, MOSAIC Grp, Dresden, Germany

[9] Compunetix Inc, Monroeville, PA USA

[10] Drexel Univ, Dept Elect & Comp Engn, Philadelphia, PA 19104 USA

[11] Heidelberg Univ, Inst Pharm & Mol Biotechnol, Dept Bioinformat & Funct Genom, Heidelberg, Germany

[12] German Canc Res Ctr, Div Theoret Bioinformat, Heidelberg, Germany

[13] Max Planck Inst Mol Cell Biol & Genet, Dresden, Germany

[14] Moscow MV Lomonosov State Univ, Belozersky Inst Physicochem Biol, Moscow, Russia

[15] Yale Univ, Dept Elect Engn, New Haven, CT USA

[16] Yale Univ, Dept Cell Biol, New Haven, CT USA

[17] Zhejiang Univ, Dept Biomed Engn, Hangzhou 310003, Zhejiang, Peoples R China

[18] KTH Royal Inst Technol, ACCESS Linnaeus Ctr, Dept Signal Proc, Stockholm, Sweden

[19] Stanford Univ, Dept Microbiol & Immunol, Sch Med, Baxter Lab Stem Cell Biol, Stanford, CA 94305 USA

[20] Inst Curie, Cell & Tissue Imaging Facil, Paris, France

[21] Inria Rennes, Bretagne Atlant, Rennes, France

[22] Inst Pasteur, Imagopole, Plateforme Imagerie Dynam, Paris, France

[23] Leiden Univ, Inst Biol, Mol Biotechnol Grp, Leiden, Netherlands

[24] Chung Yuan Christian Univ, Dept Biomed Engn, Chungli, Taiwan

来源：

NATURE METHODS | 2014年 / 11卷 / 03期

基金：

瑞士国家科学基金会; 瑞典研究理事会; 美国国家卫生研究院;

关键词：

AUTOMATED TRACKING; MICROSCOPY IMAGES; VIDEO MICROSCOPY; CELL; ALGORITHMS; TRANSPORT; VESICLES; PLATFORM;

D O I：

10.1038/nmeth.2808

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：281 / U247

页数：10

共 62 条

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