On-line Tracking of Cells and Their Lineage from Time Lapse Video Data

In this paper, we propose an algorithm for tracking cells that also provides lineage information. Our approach incorporates cell spawning into the random finite set dynamic model of the cell population, which allows the Bayes multi-object filter to capture information on the cells ancestries. A gene...

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Bibliographic Details
Published in2018 International Conference on Control, Automation and Information Sciences (ICCAIS) pp. 291 - 296
Main Authors Dat Nguyen, Tran Thien, Kim, Du Yong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2018
Subjects
Automation
Bayesian filtering
Cell tracking with spawning
Cells (biology)
GLMB filter
Indexes
Radio frequency
random finite set
Sociology
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Summary:In this paper, we propose an algorithm for tracking cells that also provides lineage information. Our approach incorporates cell spawning into the random finite set dynamic model of the cell population, which allows the Bayes multi-object filter to capture information on the cells ancestries. A generalized Labeled Multi-Bernoulli (GLMB) filter (with cell spawning model) is applied to track the cells using detections extracted from time lapse video data. Numerical results on a set of stems cells demonstrate the capability of the proposed solution to track the time-varying number of cells as well as their ancestries.
ISSN:2475-7896
DOI:10.1109/ICCAIS.2018.8570546