Khairy Khaled, Keller Philipp J
Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147, USA.
Genesis. 2011 Jul;49(7):488-513. doi: 10.1002/dvg.20698. Epub 2011 Jan 24.
Novel approaches to bio-imaging and automated computational image processing allow the design of truly quantitative studies in developmental biology. Cell behavior, cell fate decisions, cell interactions during tissue morphogenesis, and gene expression dynamics can be analyzed in vivo for entire complex organisms and throughout embryonic development. We review state-of-the-art technology for live imaging, focusing on fluorescence light microscopy techniques for system-level investigations of animal development, and discuss computational approaches to image segmentation, cell tracking, automated data annotation, and biophysical modeling. We argue that the substantial increase in data complexity and size requires sophisticated new strategies to data analysis to exploit the enormous potential of these new resources.
生物成像和自动化计算图像处理的新方法使发育生物学中真正的定量研究设计成为可能。细胞行为、细胞命运决定、组织形态发生过程中的细胞相互作用以及基因表达动态，都可以在整个复杂生物体的体内以及整个胚胎发育过程中进行分析。我们回顾了实时成像的前沿技术，重点关注用于动物发育系统级研究的荧光光学显微镜技术，并讨论了图像分割、细胞跟踪、自动数据注释和生物物理建模的计算方法。我们认为，数据复杂性和规模的大幅增加需要复杂的新数据分析策略，以挖掘这些新资源的巨大潜力。
