Multi-SpinX: An advanced framework for automated tracking of mitotic spindles and kinetochores in multicellular environments
SpinX, an AI-guided spindle tracking software, allows the 3-dimensional (3D) tracking of metaphase spindle movements in mammalian cells. Using over 900 images of dividing cells, we create the Multi-SpinX framework to significantly expand SpinX's applications: a) to track spindles and cell cortex in multicellular environments, b) to combine two object tracking (spindle with kinetochores marked by centromeric probes) and c) to extend spindle tracking beyond metaphase to prometaphase and anaphase stages where spindle morphology is different. We have used a human-in-the-loop approach to assess our optimisation steps, to manually identify challenges and to build a robust computational pipeline for segmenting kinetochore pairs and spindles. Spindles of both H1299 and RPE1 cells have been assessed and validated for use through Multi-SpinX, and we expect the tool to be versatile in enabling quantitative studies of mitotic subcellular dynamics.
Authors
- Muhammad Choudhury (ORCID: https://orcid.org/0000-0002-5015-6594)
- Viji M. Draviam (ORCID: https://orcid.org/0000-0001-8295-3689)
- Binghao Chai (ORCID: https://orcid.org/0009-0003-3292-5614)
- Christoforos Efstathiou (ORCID: https://orcid.org/0000-0002-1593-8291)
- Kinue Kuniyasu
- Kozo Tanaka (ORCID: https://orcid.org/0000-0001-6086-2858)
- Alexia-Cristina Maharea
- Saakshi Sanjay Jain
Institutions
- Queen Mary University of London (GB)
- Tohoku University (JP)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1016/j.compbiomed.2024.109626
- Primary Topic
- Microtubule and mitosis dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Queen Mary University of London
- Medical Research Council
- Biotechnology and Biological Sciences Research Council
- Innovate UK