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.