NucliTrack: an integrated nuclei tracking application.
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Embargo End Date
ICR Authors
Authors
Cooper, S
Barr, AR
Glen, R
Bakal, C
Barr, AR
Glen, R
Bakal, C
Document Type
Journal Article
Date
2017-10-15
Date Accepted
2017-06-17
Abstract
SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: 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. CONTACT: sam@socooper.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Citation
Bioinformatics (Oxford, England), 2017, 33 (20), pp. 3320 - 3322
Source Title
Publisher
OXFORD UNIV PRESS
ISSN
1367-4803
eISSN
1367-4811
Collections
Research Team
Dynamical Cell Systems