The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
ToxTrac: A fast and robust software for tracking organisms
Abstract
Behavioural analysis based on video recording is becoming increasingly popular within research fields such as; ecology, medicine, ecotoxicology and toxicology. However, the programs available to analyse the data, which are free of cost, user‐friendly, versatile, robust, fast and provide reliable statistics for different organisms (invertebrates, vertebrates and mammals) are significantly limited. We present an automated open‐source executable software (ToxTrac) for image‐based tracking that can simultaneously handle several organisms monitored in a laboratory environment. We compare the performance of ToxTrac with current accessible programs on the web. The main advantages of ToxTrac are as follows: (i) no specific knowledge of the geometry of the tracked bodies is needed; (ii) processing speed, ToxTrac can operate at a rate >25 frames per second in HD videos using modern computers; (iii) simultaneous tracking of multiple organisms in multiple arenas; (iv) integrated distortion correction and camera calibration; (v) robust against false positives; (vi) preservation of individual identification; (vii) useful statistics and heat maps in real scale are exported in image, text and excel formats. ToxTrac can be used for high speed tracking of insects, fish, rodents or other species, and provides useful locomotor information in animal behavior experiments. Download ToxTrac here: https://toxtrac.sourceforge.io (Current version v2.61).
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.
Integrity signals
Registry
Cites
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.
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
A New Approach to Linear Filtering and Prediction Problems
Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751
The novel object recognition memory: neurobiology, test procedure, and its modifications
Antunes, M., & Biala, G. (2012) · Cognitive Processing · doi:10.1007/s10339-011-0430-z · Cited by 2,390
idTracker: tracking individuals in a group by automatic identification of unmarked animals
Pérez-Escudero, A., Vicente-Page, J., Hinz, R. C., Arganda, S., & de Polavieja, G. G. (2014) · Nature Methods · doi:10.1038/nmeth.2994 · Cited by 774
Cote, J., Clobert, J., Brodin, T., Fogarty, S., & Sih, A. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0176 · Cited by 681
Self-citationScototaxis as anxiety-like behavior in fish
Maximino, C., Marques de Brito, T., Dias, C. A. G. D. M., Gouveia, A., & Morato, S. (2010) · Nature Protocols · doi:10.1038/nprot.2009.225 · Cited by 547
Behavioural syndromes in fishes: a review with implications for ecology and fisheries management
Conrad, J. L., Weinersmith, K. L., Brodin, T., Saltz, J. B., & Sih, A. (2011) · Journal of Fish Biology · doi:10.1111/j.1095-8649.2010.02874.x · Cited by 523
Self-citationEcological effects of pharmaceuticals in aquatic systems—impacts through behavioural alterations
Brodin, T., Piovano, S., Fick, J., Klaminder, J., Heynen, M., & Jonsson, M. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0580 · Cited by 499
Self-citationBEEtag: A Low-Cost, Image-Based Tracking System for the Study of Animal Behavior and Locomotion
Crall, J. D., Gravish, N., Mountcastle, A. M., & Combes, S. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0136487 · Cited by 149
Automated visual tracking for studying the ontogeny of zebrafish swimming
Fontaine, E. I., Lentink, D., Kranenbarg, S., Müller, U. K., LEEUWEN, J. L. V., Barr, A. H., & Burdick, J. W. (2008) · Journal of Experimental Biology · doi:10.1242/jeb.010272 · Cited by 112
Samson, A. L., Ju, L. A., Kim, H. A., et al. (2015) · Scientific Reports · doi:10.1038/srep16171 · Cited by 70
Cited by
Quantifying behavior to understand the brain
Pereira, T. D., Shaevitz, J. W., & Murthy, M. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00734-z · Cited by 309
Neuropeptide repertoire and 3D anatomy of the ctenophore nervous system
Sachkova, M. Y., Nordmann, E.-L., Soto-Àngel, J. J., Meeda, Y., Górski, B., Naumann, B., Dondorp, D., Chatzigeorgiou, M., Kittelmann, M., & Burkhardt, P. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.005 · Cited by 95
Nadiga, A. P. R., Suman, & Krishna, K. L. (2024) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2024.176332 · Cited by 48
A corticoamygdalar pathway controls reward devaluation and depression using dynamic inhibition code
Yuan, Z., Qi, Z., Wang, R., Cui, Y., An, S., Wu, G., Feng, Q., Lin, R., Dai, R., Li, A., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.08.022 · Cited by 45
Uvarajan, D., Gnanarajan, R., Karuppusamy, P. A., Ravichandran, N., Govindasamy, C., Vellingiri, B., Narayanaswamy, A., & Wang, W. (2026) · Molecular Biotechnology · doi:10.1007/s12033-025-01392-x · Cited by 7
Metadata
- Authors
- Rodriguez, A., Zhang, H., Klaminder, J., Brodin, T., Andersson, P. L., & Andersson, M.
- Venue
- Methods in Ecology and Evolution
- Publisher
- Wiley
- Published
- 2017-09-25
- Volume
- 9
- Issue
- 3
- Pages
- 460-464
- ISSN
- 2041-210X (ISSN-L)
- OpenAlex
- W2622678820
- Cited by
- 465
- References
- 13
- FWCI
- 6.51
- Type
- journal article
- Language
- en
- Open access
- closed
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: ToxTrac: A fast and robust software for tracking organisms. https://app.cochat.ai/papers/10.1111/2041-210x.12874
- The paper
- Rodriguez, A., Zhang, H., Klaminder, J., Brodin, T., Andersson, P. L., & Andersson, M. (2018). ToxTrac: A fast and robust software for tracking organisms. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.12874
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.
