Extracting 3D cell parameters from dense tissue environments: application to the development of the mouse heart.

Abstract : In developmental biology, quantitative tools to extract features from fluorescence microscopy images are becoming essential to characterize organ morphogenesis at the cellular level. However, automated image analysis in this context is a challenging task, owing to perturbations induced by the acquisition process, especially in organisms where the tissue is dense and opaque.
Complete list of metadatas

Cited literature [40 references]  Display  Hide  Download

https://hal-pasteur.archives-ouvertes.fr/pasteur-01572064
Contributor : Jeanne Tarabella <>
Submitted on : Friday, August 4, 2017 - 2:57:09 PM
Last modification on : Thursday, January 11, 2018 - 6:21:29 AM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : jamais

Please log in to resquest access to the document

Identifiers

Collections

Citation

Sorin Pop, Alexandre C Dufour, Jean-François Le Garrec, Chiara V Ragni, Clémire Cimper, et al.. Extracting 3D cell parameters from dense tissue environments: application to the development of the mouse heart.. Bioinformatics, Oxford University Press (OUP), 2013, 29 (6), pp.772-9. ⟨10.1093/bioinformatics/btt027⟩. ⟨pasteur-01572064⟩

Share

Metrics

Record views

68