Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Kinetochore tracking in 3D from lattice light sheet imaging data with KiT

Tools
- Tools
+ Tools

Harrison, Jonathan, Sen, Onur, McAinsh, Andrew D. and Burroughs, Nigel John (2022) Kinetochore tracking in 3D from lattice light sheet imaging data with KiT. Bioinformatics, 38 (12). pp. 3315-3317. doi:10.1093/bioinformatics/btac330 ISSN 1460-2059.

[img]
Preview
PDF
WRAP-Kinetochore-tracking-3D-lattice-light-sheet-imaging-data-KiT-2022.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (404Kb) | Preview
Official URL: https://doi.org/10.1093/bioinformatics/btac330

Request Changes to record.

Abstract

Motivation:
Lattice light sheet microscopy is revolutionizing cell biology since it enables fast, high-resolution extended imaging in three dimensions combined with a drastic reduction in photo-toxicity and bleaching. However analysis of such data sets still remains a major challenge.

Results:
Automated tracking of kinetochores, the protein complex facilitating and controlling microtubule attachment of the chromosomes within the mitotic spindle, provides quantitative assessment of chromosome dynamics in mitosis. Here we extend existing open-source kinetochore tracking software (KiT Armond et al. [2016]) to track (and pair) kinetochores throughout pro-metaphase to anaphase in lattice light sheet microscopy data. One of the key improvements is a regularization term in the objective function to enforce biological information about the number of kinetochores in a human mitotic cell, as well as improved diagnostic tools. This software provides quantitative insights into how kinetochores robustly ensure congression and segregation of chromosomes during mitosis.

Availability and implementation:
KiT is free, open-source software implemented in MATLAB and can be downloaded as a package from https://github.com/cmcb-warwick/KiT. The source repository is available at https://bitbucket.org/jarmond/kit (tag v2.4.0) and under continuing development.

Supplementary information:
Supplementary data are available at Bioinformatics online.

Item Type: Journal Article
Subjects: Q Science > QH Natural history
Q Science > QP Physiology
Divisions: Faculty of Science, Engineering and Medicine > Science > Mathematics
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Fluorescence microscopy -- Data processing, Enzymes -- Analysis, Chromosomes, Cell organelles, Mitosis
Journal or Publication Title: Bioinformatics
Publisher: Oxford University Press (OUP)
ISSN: 1460-2059
Official Date: 15 June 2022
Dates:
DateEvent
15 June 2022Published
17 May 2022Available
13 May 2022Accepted
Volume: 38
Number: 12
Page Range: pp. 3315-3317
DOI: 10.1093/bioinformatics/btac330
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 27 June 2022
Date of first compliant Open Access: 27 June 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
BB/R009503/1[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
106151/Z/14/ZWellcome Trusthttp://dx.doi.org/10.13039/100010269
208384/Z/17/ZWellcome Trusthttp://dx.doi.org/10.13039/100010269
Related URLs:
  • https://creativecommons.org/licenses/by/...

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us