An integrated platform for large-scale data collection and precise perturbation of live Drosophila embryos. Author Thomas Levario, Charles Zhao, Tel Rouse, Stanislav Shvartsman, Hang Lu Publication Year 2016 Type Journal Article Abstract Understanding the fundamental principles governing embryogenesis is a key goal of developmental biology. Direct observation of embryogenesis via in vivo live imaging is vital to understanding embryogenesis; yet, tedious sample preparation makes it difficult to acquire large-scale imaging data that is often required to overcome experimental and biological noises for quantitative studies. Furthermore, it is often difficult, and sometimes impossible, to incorporate environmental perturbation for understanding developmental responses to external stimuli. To address this issue, we have developed a method for high-throughput imaging of live embryos, delivering precise environmental perturbations, and unbiased data extraction. This platform includes an optimized microfluidic device specifically for live embryos and also for precise perturbations in the microenvironment of the developing embryos. In addition, we developed software for simple, yet accurate, automated segmentation of fluorescent images, and automated data extraction. Using a quantitative assessment we find that embryos develop normally within the microfluidic device. Finally, we show an application of the high-throughput assay for monitoring developmental responses to external stimuli: anoxia-induced developmental arrest in Drosophila embryos. With slight modifications, the method developed in this work can be applied to many other models of development and other stimulus-response behaviors during development. Keywords Animals, High-Throughput Screening Assays, Drosophila melanogaster, Image Processing, Computer-Assisted, Embryonic Development, Embryo, Nonmammalian, Optical Imaging, Software, Lab-On-A-Chip Devices, Hypoxia Journal Sci Rep Volume 6 Pages 21366 Date Published 2016 Feb 11 ISSN Number 2045-2322 DOI 10.1038/srep21366 Alternate Journal Sci Rep PMCID PMC4750044 PMID 26864815 PubMedPubMed CentralGoogle ScholarBibTeXEndNote X3 XML