Dufour Alexandre C, Jonker Anneliene H, Olivo-Marin Jean-Christophe
Institut Pasteur, Bioimage Analysis Unit, 25-28 rue du Docteur Roux, Paris, France
CNRS, UMR 3691, 25-28 rue du Docteur Roux, Paris, France.
Philos Trans R Soc Lond B Biol Sci. 2017 May 19;372(1720). doi: 10.1098/rstb.2015.0512.
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'.
近年来,发育生物学从荧光显微镜技术的最新进展中受益匪浅。因此,对这些数据进行定量和自动化分析正成为寻求对发育各个方面的新见解的关键第一步。在这里,我们对为发育生物学图像提出的各种图像分析方法进行了介绍性概述,特别关注公开可用的软件包。这些工具以及未来的其他工具正在迅速为全组织水平的标准化和可重复生物成像研究铺平道路。在回顾这些成就的基础上,我们讨论了图像分析后时代仍然存在的挑战和未来的努力方向。本文是主题为“系统形态动力学:理解组织硬件的发育”的特刊的一部分。