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A novel framework for cellular tracking and mitosis detection in dense phase contrast microscopy images

Thirusittampalam, Ketheesan, Hossain, M. Julius and Whelan, Paul F. orcid logoORCID: 0000-0001-9230-7656 (2013) A novel framework for cellular tracking and mitosis detection in dense phase contrast microscopy images. IEEE Journal of Biomedical and Health Informatics, 17 (3). pp. 642-653. ISSN 2168-2194

The aim of this paper is to detail the development of a novel tracking framework that is able to extract the cell motility indicators and to determine the cellular division (mitosis) events in large time-lapse phase-contrast image sequences. To address the challenges induced by non-structured (random) motion, cellular agglomeration, and cellular mitosis, the process of automatic (unsupervised) cell tracking is carried out in a sequential manner, where the inter-frame cell association is achieved by assessing the variation in the local cellular structures in consecutive frames of the image sequence. In our study a strong emphasis has been placed on the robust use of the topological information in the cellular tracking process and in the development of targeted pattern recognition techniques that were designed to redress the problems caused by segmentation errors, and to precisely identify mitosis using a backward (reversed) tracking strategy. The proposed algorithm has been evaluated on dense phase contrast cellular data and the experimental results indicate that the proposed algorithm is able to accurately track epithelial and endothelial cells in time-lapse image sequences that are characterized by low contrast and high level of noise. Our algorithm achieved 86.10% overall tracking accuracy and 90.12% mitosis detection accuracy.
Item Type:Article (Published)
Uncontrolled Keywords:computer vision; image analysis; Cell tracking; Delaunay triangulation; cellular interaction; mitosis; time-lapse microscopy
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/TITB.2012.2228663
Copyright Information:© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:18478
Deposited On:20 Jun 2013 10:39 by Mark Sweeney . Last Modified 11 Jan 2019 12:30

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