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

Area of Science:

• Cell Biology
• Microscopy
• Genetics

Background:

• Lattice light-sheet microscopy (LLSM) offers advanced 3D imaging with reduced phototoxicity, but data analysis remains challenging.
• Kinetochores are crucial protein complexes for chromosome attachment to the mitotic spindle during cell division.

Purpose of the Study:

• To extend existing kinetochore tracking software (KiT) for analyzing LLSM data.
• To improve the quantitative assessment of chromosome dynamics during mitosis.

Main Methods:

• Developed an enhanced open-source kinetochore tracking software (KiT) using MATLAB.
• Implemented a regularization term to enforce biological constraints on kinetochore numbers.
• Added improved diagnostic tools for data analysis.

Main Results:

• Successfully tracked and paired kinetochores throughout prometaphase to anaphase in LLSM datasets.
• The enhanced KiT software provides quantitative insights into chromosome congression and segregation.
• Demonstrated robust tracking crucial for understanding mitotic processes.

Conclusions:

• The improved KiT software facilitates robust analysis of kinetochore behavior in LLSM data.
• This advancement aids in understanding the precise mechanisms of chromosome segregation during cell division.
• The open-source nature promotes further research in cell biology and microscopy data analysis.