Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 894

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Objective comparison of particle tracking methods

Open access
Chenouard, Nicolas, Smal, Ihor, de Chaumont, Fabrice, Maška, Martin, Sbalzarini, Ivo F, Gong, Yuanhao, Cardinale, Janick, Carthel, Craig, Coraluppi, Stefano, Winter, Mark, Cohen, Andrew R, Godinez, William J, Rohr, Karl, Kalaidzidis, Yannis, Liang, Liang, Duncan, James, Shen, Hongying, Xu, Yingke, Magnusson, Klas E G, Jaldén, Joakim, Blau, Helen M, Paul-Gilloteaux, Perrine, Roudot, Philippe, Kervrann, Charles, Waharte, François, Tinevez, Jean-Yves, Shorte, Spencer L, Willemse, Joost, Celler, Katherine, van Wezel, Gilles P, Dan, Han-Wei, Tsai, Yuh-Show, de Solórzano, Carlos Ortiz, Olivo-Marin, Jean-Christophe, Meijering, Erik·2014·Nature Methods

Abstract

The first community competition designed to objectively compare the performance of particle tracking algorithms provides valuable practical information for both users and developers. 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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nmeth.2808

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 57 references

Cited by

See all 894

Metadata

Authors
Chenouard, N., Smal, I., de Chaumont, F., Maška, M., Sbalzarini, I. F., Gong, Y., Cardinale, J., Carthel, C., Coraluppi, S., Winter, M., Cohen, A. R., Godinez, W. J., Rohr, K., Kalaidzidis, Y., Liang, L., Duncan, J., Shen, H., Xu, Y., Magnusson, K. E. G., Jaldén, J., Blau, H. M., Paul-Gilloteaux, P., Roudot, P., Kervrann, C., Waharte, F., Tinevez, J.-Y., Shorte, S. L., Willemse, J., Celler, K., van Wezel, G. P., Dan, H.-W., Tsai, Y.-S., de Solórzano, C. O., Olivo-Marin, J.-C., & Meijering, E.
Venue
Nature Methods
Published
2014-01-19
Volume
11
Issue
3
Pages
281-289
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W2103706175
Cited by
894
References
57
FWCI
49.17
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Objective comparison of particle tracking methods. https://app.cochat.ai/papers/10.1038/nmeth.2808
The paper
Chenouard, N., Smal, I., de Chaumont, F., Maška, M., Sbalzarini, I. F., Gong, Y., Cardinale, J., Carthel, C., Coraluppi, S., Winter, M., Cohen, A. R., Godinez, W. J., Rohr, K., Kalaidzidis, Y., Liang, L., Duncan, J., Shen, H., Xu, Y., Magnusson, K. E. G., . . . Meijering, E. (2014). Objective comparison of particle tracking methods. Nature Methods. https://doi.org/10.1038/nmeth.2808

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.