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2017 ; 372
(1720
): ä Nephropedia Template TP
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Deciphering tissue morphodynamics using bioimage informatics
#MMPMID28348249
Dufour AC
; Jonker AH
; Olivo-Marin JC
Philos Trans R Soc Lond B Biol Sci
2017[May]; 372
(1720
): ä PMID28348249
show ga
In recent years developmental biology has greatly benefited from the latest
advances in fluorescence microscopy techniques. Consequently, quantitative and
automated analysis of this data is becoming a vital first step in the quest for
novel insights into the various aspects of development. Here we present an
introductory overview of the various image analysis methods proposed for
developmental biology images, with particular attention to openly available
software packages. These tools, as well as others to come, are rapidly paving the
way towards standardized and reproducible bioimaging studies at the whole-tissue
level. Reflecting on these achievements, we discuss the remaining challenges and
the future endeavours lying ahead in the post-image analysis era.This article is
part of the themed issue 'Systems morphodynamics: understanding the development
of tissue hardware'.