Nature Communications · 2013 · 190 citations · 22 references
Life SciencesBiologyDevelopmental BiologyDevelopmental Cell BiologyEmbryogenesisMorphogenesisCell Shape ChangesCellular ImagingEmbryonic AnatomyLight MicroscopyTissue MorphogenesisTissue PatterningBiological ImagingCell SegmentationEndoderm DevelopmentEndoderm MorphogenesisHigh-speed ImagingMicroscopyPanoramic ImagingTissue Segmentation
The ever-increasing speed and resolution of modern microscopes make the storage and post-processing of images challenging and prevent thorough statistical analyses in developmental biology. Here, instead of deploying massive storage and computing power, we exploit the spherical geometry of zebrafish embryos by computing a radial maximum intensity projection in real time with a 240-fold reduction in data rate. In our four-lens selective plane illumination microscope (SPIM) setup the development of multiple embryos is recorded in parallel and a map of all labelled cells is obtained for each embryo in <10 s. In these panoramic projections, cell segmentation and flow analysis reveal characteristic migration patterns and global tissue remodelling in the early endoderm. Merging data from many samples uncover stereotypic patterns that are fundamental to endoderm development in every embryo. We demonstrate that processing and compressing raw image data in real time is not only efficient but indispensable for image-based systems biology. Systematic large-scale analysis of embryonic development requires the processing of large amounts of microscopy data. Here Schmid et al.solve this problem by developing a high-speed imaging system that projects zebrafish embryos onto a ‘world map’ in real time, revealing characteristic migration patterns in the early endoderm.
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