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dc.contributor.authorCooper, Sen_US
dc.contributor.authorBarr, ARen_US
dc.contributor.authorGlen, Ren_US
dc.contributor.authorBakal, Cen_US
dc.date.accessioned2017-09-04T10:54:43Z
dc.date.issued2017-10en_US
dc.identifier.citationBioinformatics (Oxford, England), 2017, 33 (20), pp. 3320 - 3322en_US
dc.identifier.issn1367-4803en_US
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/809
dc.identifier.eissn1367-4811en_US
dc.identifier.doi10.1093/bioinformatics/btx404en_US
dc.description.abstract<h4>Summary</h4>Live imaging studies give unparalleled insight into dynamic single cell behaviours and fate decisions. However, the challenge of reliably tracking single cells over long periods of time limits both the throughput and ease with which such studies can be performed. Here, we present NucliTrack, a cross platform solution for automatically segmenting, tracking and extracting features from fluorescently labelled nuclei. NucliTrack performs similarly to other state-of-the-art cell tracking algorithms, but NucliTrack's interactive, graphical interface makes it significantly more user friendly.<h4>Availability and implementation</h4>NucliTrack is available as a free, cross platform application and open source Python package. Installation details and documentation are at: http://nuclitrack.readthedocs.io/en/latest/ A video guide can be viewed online: https://www.youtube.com/watch?v=J6e0D9F-qSU Source code is available through Github: https://github.com/samocooper/nuclitrack. A Matlab toolbox is also available at: https://uk.mathworks.com/matlabcentral/fileexchange/61479-samocooper-nuclitrack-matlab.<h4>Contact</h4>[email protected]<h4>Supplementary information</h4>Supplementary data are available at Bioinformatics online.en_US
dc.formatPrinten_US
dc.format.extent3320 - 3322en_US
dc.languageengen_US
dc.language.isoengen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectCell Nucleusen_US
dc.subjectAlgorithmsen_US
dc.subjectImage Processing, Computer-Assisteden_US
dc.subjectSoftwareen_US
dc.subjectCell Trackingen_US
dc.titleNucliTrack: an integrated nuclei tracking application.en_US
dc.typeJournal Article
dcterms.dateAccepted2017-06-17en_US
rioxxterms.versionofrecord10.1093/bioinformatics/btx404en_US
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0en_US
rioxxterms.licenseref.startdate2017-10en_US
rioxxterms.typeJournal Article/Reviewen_US
dc.relation.isPartOfBioinformatics (Oxford, England)en_US
pubs.issue20en_US
pubs.notesNot knownen_US
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology/Dynamical Cell Systems
pubs.publication-statusPublisheden_US
pubs.volume33en_US
pubs.embargo.termsNot knownen_US
icr.researchteamDynamical Cell Systemsen_US
dc.contributor.icrauthorBakal, Christopheren_US
dc.contributor.icrauthorBarr, Alexisen_US


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