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

Néstor Saiz, Minjung Kang, Alberto Puliafito, Nadine Schrode, Panagiotis Xenopoulos, Xinghua Lou, Stefano Di Talia, Anna Katerina Hadjantonakis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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.

Original languageEnglish
Title of host publicationOptical Methods in Developmental Biology III
EditorsAndrew M. Rollins, Scott E. Fraser, Michael A. Choma
ISBN (Electronic)9781628414240
StatePublished - 2015
Externally publishedYes
EventOptical Methods in Developmental Biology III - San Francisco, United States
Duration: 7 Feb 20158 Feb 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceOptical Methods in Developmental Biology III
Country/TerritoryUnited States
CitySan Francisco


  • Imaging
  • lineage specification
  • mouse blastocyst
  • quantitation


Dive into the research topics of 'Quantitative analyses for elucidating mechanisms of cell fate commitment in the mouse blastocyst'. Together they form a unique fingerprint.

Cite this