Optic Flow Based Occlusion Analysis for Cell Division Detection
The computer vision domain has seen increasing attention in the design of automated tools for cellular biology researchers. In addition to quantitative analysis on whole populations of cells, identification of the cell division events is another important topic. In this research, a novel fully automated image-based cell-division-detection approach is proposed. Differing from most of the existing approaches that exploit training-based or image-based segmentation methods, the main idea of the proposed approach is detecting cell divisions using a motion based occlusion analysis process. Testing has been performed on different types of cellular datasets, including fluorescence images and phase-contrast data, and it has confirmed the effectiveness of the proposed method.
KeywordsMotion estimation Optic flow Cell division detection Occlusion detection Forward–backward motion consistency
This research was supported by the National Biophotonics Imaging Platform (NBIP) Ireland funded under the Higher Education Authority PRTLI Cycle 4, co-funded by the Irish Government and the European Union—Investing in your future.
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