TY - JOUR
T1 - Microfluidics for High-Throughput Quantitative Studies of Early Development
AU - Levario, Thomas J.
AU - Lim, Bomyi
AU - Shvartsman, Stanislav Y.
AU - Lu, Hang
N1 - Publisher Copyright:
© Copyright 2016 by Annual Reviews. All rights reserved.
PY - 2016/7/11
Y1 - 2016/7/11
N2 - Developmental biology has traditionally relied on qualitative analyses; recently, however, as in other fields of biology, researchers have become increasingly interested in acquiring quantitative knowledge about embryogenesis. Advances in fluorescence microscopy are enabling high-content imaging in live specimens. At the same time, microfluidics and automation technologies are increasing experimental throughput for studies of multicellular models of development. Furthermore, computer vision methods for processing and analyzing bioimage data are now leading the way toward quantitative biology. Here, we review advances in the areas of fluorescence microscopy, microfluidics, and data analysis that are instrumental to performing high-content, high-throughput studies in biology and specifically in development. We discuss a case study of how these techniques have allowed quantitative analysis and modeling of pattern formation in the Drosophila embryo.
AB - Developmental biology has traditionally relied on qualitative analyses; recently, however, as in other fields of biology, researchers have become increasingly interested in acquiring quantitative knowledge about embryogenesis. Advances in fluorescence microscopy are enabling high-content imaging in live specimens. At the same time, microfluidics and automation technologies are increasing experimental throughput for studies of multicellular models of development. Furthermore, computer vision methods for processing and analyzing bioimage data are now leading the way toward quantitative biology. Here, we review advances in the areas of fluorescence microscopy, microfluidics, and data analysis that are instrumental to performing high-content, high-throughput studies in biology and specifically in development. We discuss a case study of how these techniques have allowed quantitative analysis and modeling of pattern formation in the Drosophila embryo.
KW - Automation
KW - Computer vision
KW - Developmental biology
KW - Fluorescence microscopy
KW - Modeling
KW - Quantitative biology
UR - http://www.scopus.com/inward/record.url?scp=84978927540&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978927540&partnerID=8YFLogxK
U2 - 10.1146/annurev-bioeng-100515-013926
DO - 10.1146/annurev-bioeng-100515-013926
M3 - Review article
C2 - 26928208
AN - SCOPUS:84978927540
SN - 1523-9829
VL - 18
SP - 285
EP - 309
JO - Annual Review of Biomedical Engineering
JF - Annual Review of Biomedical Engineering
ER -