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Proceedings Paper

Quantitative analyses for elucidating mechanisms of cell fate commitment in the mouse blastocyst
Author(s): Néstor Saiz; Minjung Kang; Alberto Puliafito; Nadine Schrode; Panagiotis Xenopoulos; Xinghua Lou; Stefano Di Talia; Anna-Katerina Hadjantonakis
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Paper 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.

Paper Details

Date Published: 10 March 2015
PDF: 12 pages
Proc. SPIE 9334, Optical Methods in Developmental Biology III, 93340D (10 March 2015); doi: 10.1117/12.2081232
Show Author Affiliations
Néstor Saiz, Sloan Kettering Institute (United States)
Minjung Kang, Sloan Kettering Institute (United States)
Alberto Puliafito, Candiolo Cancer Institute (Italy)
Nadine Schrode, Sloan Kettering Institute (United States)
Panagiotis Xenopoulos, Sloan Kettering Institute (United States)
Xinghua Lou, Sloan Kettering Institute (United States)
Stefano Di Talia, Duke Univ. Medical Center (United States)
Anna-Katerina Hadjantonakis, Sloan Kettering Institute (United States)

Published in SPIE Proceedings Vol. 9334:
Optical Methods in Developmental Biology III
Andrew M. Rollins; Scott E. Fraser; Michael A. Choma M.D., Editor(s)

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