Segmentation of Developing Human Embryo in Time-lapse Microscopy

Being able to efficiently segment a developing embryo from background clutter constitutes an important step in automated monitoring of human embryonic cells. State-of-the-art automatic segmentation methods remain ill-suited to handle the complex behavior and morphological variance of non-stained embryos. By contrast, while effective, manual approaches are impractically time-consuming. In this paper, we introduce an automated approach to segment human embryo in early-stage development from a sequence of dark field microscopy images. In particular, we express segmentation as an energy minimization problem, which can be solved efficiently via graph-cuts or dynamic programming. Our experiments on twenty embryo sequences demonstrates that our method can successfully segment complex and irregular embryo structures in time-lapse microscopy (TLM) sequences.

Published in:
International Symposium on Biomedical Imaging
Presented at:
International Symposium on Biomedical Imaging (ISBI)
New York, IEEE
978-1-4799-2349-6; 978-1-4799-2350-2

 Record created 2017-01-24, last modified 2018-01-28

Rate this document:

Rate this document:
(Not yet reviewed)