Quantitative analyses for elucidating mechanisms of cell fate commitment in the mouse blastocyst Conference Paper


Authors: Saiz, N.; Kang, M.; Puliafito, A.; Schrode, N.; Xenopoulos, P.; Lou, X.; Di Talia, S.; Hadjantonakis, A. K.
Editors: Rollins, A. M.; Fraser, S. E.; Choma, M. A.
Title: Quantitative analyses for elucidating mechanisms of cell fate commitment in the mouse blastocyst
Conference Title: Optical Methods in Developmental Biology III
Abstract: In recent years we have witnessed a shift from qualitative image analysis towards higher resolution, quantitative analyses of imaging data in developmental biology. This shift has been fueled by technological advances in both imaging and analysis software. We have recently developed a tool for accurate, semi-automated nuclear segmentation of imaging data from early mouse embryos and embryonic stem cells. We have applied this software to the study of the first lineage decisions that take place during mouse development and established analysis pipelines for both static and time-lapse imaging experiments. In this paper we summarize the conclusions from these studies to illustrate how quantitative, single-cell level analysis of imaging data can unveil biological processes that cannot be revealed by traditional qualitative studies. © 2015 SPIE.
Keywords: biology; developmental biology; stem cells; imaging; embryonic stem cells; mammals; quantitation; imaging techniques; lineage specification; mouse blastocyst; time-lapse imaging; qualitative images; technological advances
Journal Title Proceedings of SPIE
Volume: 9334
Conference Dates: 2015 Feb 7-8
Conference Location: San Francisco, CA
ISBN: 0277-786X
Publisher: SPIE  
Date Published: 2015-03-10
Start Page: 93340D
Language: English
DOI: 10.1117/12.2081232
PROVIDER: scopus
DOI/URL:
Notes: Progr. Biomed. Opt. Imaging Proc. SPIE -- Conference code: 111854 -- Export Date: 4 May 2015 -- Nufern Inc.; Physik Instrumente; ThorLabs, Inc. -- 7 February 2015 through 8 February 2015 -- Source: Scopus
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MSK Authors
  1. Xinghua Lou
    7 Lou
  2. Min Jung Kang
    12 Kang
  3. Nadine Schrode
    10 Schrode