Mostrar o rexistro simple do ítem

dc.contributor.authorPanadeiro Castro, Verónica
dc.contributor.authorRodriguez, Alvaro
dc.contributor.authorHenry, Jason
dc.contributor.authorWlodkowic, Donald
dc.contributor.authorAndersson, Magnus
dc.date.accessioned2023-12-05T11:07:22Z
dc.date.available2023-12-05T11:07:22Z
dc.date.issued2021-09
dc.identifier.citationPanadeiro, V., Rodriguez, A., Henry, J., Wlodkowic, D. & Andersson, M. A review of 28 free animal-tracking software applications: current features and limitations. Lab Anim 50, 246–254 (2021).es_ES
dc.identifier.issn1548-4475
dc.identifier.urihttp://hdl.handle.net/2183/34427
dc.descriptionThis version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1038/s41684-021-00811-1es_ES
dc.description.abstract[Abstract]: Well-quantified laboratory studies can provide a fundamental understanding of animal behavior in ecology, ethology and ecotoxicology research. These types of studies require observation and tracking of each animal in well-controlled and defined arenas, often for long timescales. Thus, these experiments produce long time series and a vast amount of data that require the use of software applications to automate the analysis and reduce manual annotation. In this review, we examine 28 free software applications for animal tracking to guide researchers in selecting the software that might best suit a particular experiment. We also review the algorithms in the tracking pipeline of the applications, explain how specific techniques can fit different experiments, and finally, expose each approach’s weaknesses and strengths. Our in-depth review includes last update, type of platform, user-friendliness, off- or online video acquisition, calibration method, background subtraction and segmentation method, species, multiple arenas, multiple animals, identity preservation, manual identity correction, data analysis and extra features. We found, for example, that out of 28 programs, only 3 include a calibration algorithm to reduce image distortion and perspective problems that affect accuracy and can result in substantial errors when analyzing trajectories and extracting mobility or explored distance. In addition, only 4 programs can directly export in-depth tracking and analysis metrics, only 5 are suited for tracking multiple unmarked animals for more than a few seconds and only 11 have been updated in the period 2019–2021.es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.relation.urihttps://doi.org/10.1038/s41684-021-00811-1es_ES
dc.subjectAlgorithmses_ES
dc.subjectAnimalses_ES
dc.subjectBehaviour, Animales_ES
dc.subjectSoftwarees_ES
dc.titleA review of 28 free animal tracking software: current features and limitationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleLab Animales_ES
UDC.issue50es_ES
UDC.startPage246es_ES
UDC.endPage254es_ES


Ficheiros no ítem

Thumbnail

Este ítem aparece na(s) seguinte(s) colección(s)

Mostrar o rexistro simple do ítem