KiT

KiT tracks kinetochores in live-cell fluorescence microscopy movies to provide quantitative localization and motion analysis for studying chromosome dynamics during mitosis.


Key Features:

  • Versatile Imaging Support: Supports 2D, 3D, and multi-color movies for different imaging modalities.
  • Quantitative Fluorescence Analysis: Performs fluorescence intensity quantification to assess protein dynamics and interactions.
  • Integrated Deconvolution: Incorporates deconvolution to enhance image clarity and resolution for more accurate localization.
  • Parallel Execution: Supports parallel execution to accelerate processing of large datasets.
  • Multiple Localization Algorithms: Implements a range of particle/kinetochore localization algorithms to accommodate diverse experimental conditions.
  • Regularization and Diagnostic Tools: Includes a regularization term in the objective function to encode biological constraints (e.g., known kinetochore counts) and provides diagnostic tools for verifying tracking accuracy.

Scientific Applications:

  • Mitotic chromosome dynamics: Quantitatively analyzes kinetochore behavior from prometaphase through anaphase to study chromosome congression and segregation.
  • High-resolution time-lapse imaging with LLSM: Applied to lattice light-sheet microscopy (LLSM) datasets to enable extended, high-resolution imaging with reduced phototoxicity for dynamic studies.

Methodology:

Automated quantitative tracking using particle/kinetochore localization algorithms, deconvolution, fluorescence intensity quantification, parallel execution, an objective function with a regularization term for biological constraints, and diagnostic tools for tracking verification.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
desktop application, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
MATLAB
Added:
10/20/2018
Last Updated:
11/24/2024

Operations

Publications

Armond JW, Vladimirou E, McAinsh AD, Burroughs NJ. KiT: a MATLAB package for kinetochore tracking. Bioinformatics. 2016;32(12):1917-1919. doi:10.1093/bioinformatics/btw087. PMID:27153705. PMCID:PMC4908324.

Harrison JU, Sen O, McAinsh AD, Burroughs NJ. Kinetochore tracking in 3D from lattice light-sheet imaging data with KiT. Bioinformatics. 2022;38(12):3315-3317. doi:10.1093/bioinformatics/btac330. PMID:35579370. PMCID:PMC9191203.

PMID: 35579370
PMCID: PMC9191203
Funding: - Biotechnology and Biological Sciences Research Council: BB/R009503/1 - Wellcome Senior Investigator Award: 106151/Z/14/Z - The LLSM Facility was established at Warwick with a Wellcome Trust Multi-user Equipment: 208384/Z/17/Z

Documentation

Links