NucliTrack: an integrated nuclei tracking application.

NucliTrack: an integrated nuclei tracking application.
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DOI:
10.1093/bioinformatics/btx404
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发表时间:
2017-10-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
通讯作者:
Bakal C
Bakal C
中科院分区:
其他
文献类型:
--
作者:
Cooper S;Barr AR;Glen R;Bakal C

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实时成像研究为动态单细胞行为和命运决定提供了无与伦比的见解。然而,在长时间内可靠地跟踪单个细胞的挑战限制了进行此类研究的吞吐量和便利性。在这里,我们提出NucliTrack,一个跨平台的解决方案,用于自动分割,跟踪和提取荧光标记核的特征。NucliTrack执行类似于其他最先进的细胞跟踪算法,但NucliTrack的交互式图形界面使其更加用户友好。NucliTrack是一个免费的跨平台应用程序和开源Python包。安装细节和文档在:http://nuclitrack.readthedocs.io/en/latest/一个视频指南可以在线观看:https://www.youtube.com/watch?v=J6e0D9F-qSU源代码可通过Github: https://github.com/samocooper/nuclitrack获得。Matlab工具箱也可在:https://uk.mathworks.com/matlabcentral/fileexchange/61479-samocooper-nuclitrack-matlab。补充数据可在生物信息学网站获得。
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. 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. Supplementary data are available at Bioinformatics online.
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