Shape statistics for cell division detection in time-lapse videos of early mouse embryo

M. Cicconet; K. Gunsalus; D. Geiger; M. Werman

doi:10.1109/ICIP.2014.7025735

Shape statistics for cell division detection in time-lapse videos of early mouse embryo

M. Cicconet, K. Gunsalus, D. Geiger, M. Werman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We describe a statistical approach to the problem of estimating the times of cell-division cycles in time-lapse movies of early mouse embryos. Our method is based on the likelihoods for cells of certain radii ranges to be in each frame - without actually locating or counting the cells. Computing the likelihoods consists of a voting scheme where votes come form quadruples of points in a way similar to the first step of the Randomized Hough Transform for ellipse detection. To locate divisions, we search for points of abrupt change in the matrix of likelihoods (built for all frames), and pick the two optimal division points using a dynamic programming algorithm. Our results for the first and second cell division cycles differ less than two frames from the medians of the annotated times in a database of 100 annotated videos, and outperform two other recent methods in the same set.

Original language	English
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3622-3625
Number of pages	4
ISBN (Electronic)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7025735
State	Published - 28 Jan 2014
Externally published	Yes

Publication series

Name	2014 IEEE International Conference on Image Processing, ICIP 2014

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

division detection
mouse embryo
shape statistics
time lapse
video analysis

Access to Document

10.1109/ICIP.2014.7025735

Cite this

Cicconet, M., Gunsalus, K., Geiger, D., & Werman, M. (2014). Shape statistics for cell division detection in time-lapse videos of early mouse embryo. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 3622-3625). Article 7025735 (2014 IEEE International Conference on Image Processing, ICIP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7025735

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Cicconet, M, Gunsalus, K, Geiger, D & Werman, M 2014, Shape statistics for cell division detection in time-lapse videos of early mouse embryo. in 2014 IEEE International Conference on Image Processing, ICIP 2014., 7025735, 2014 IEEE International Conference on Image Processing, ICIP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 3622-3625. https://doi.org/10.1109/ICIP.2014.7025735

Shape statistics for cell division detection in time-lapse videos of early mouse embryo. / Cicconet, M.; Gunsalus, K.; Geiger, D. et al.
2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3622-3625 7025735 (2014 IEEE International Conference on Image Processing, ICIP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Cicconet M, Gunsalus K, Geiger D, Werman M. Shape statistics for cell division detection in time-lapse videos of early mouse embryo. In 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3622-3625. 7025735. (2014 IEEE International Conference on Image Processing, ICIP 2014). doi: 10.1109/ICIP.2014.7025735

Shape statistics for cell division detection in time-lapse videos of early mouse embryo

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