bioRxiv preprint doi: https://doi.org/10.1101/107318; this version posted February 10, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 2 3 4 High-Throughput Controlled Mechanical Stimulation and Functional 5 Imaging In Vivo 6 7 Yongmin Cho1*, Daniel A. Porto2*, Hyundoo Hwang1, Laura J. Grundy3, 8 William R. Schafer3, Hang Lu1,2 9 10 1School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, USA 11 2Interdisciplinary Bioengineering Program, Georgia Institute of Technology, USA 12 3Medical Research Council Laboratory of Molecular Biology, Cambridge, UK 13 *These authors contributed equally to this work. 14 15 Correspondence should be addressed to HL:
[email protected], 1-404-894-8473 16 17 18 19 20 21 1 bioRxiv preprint doi: https://doi.org/10.1101/107318; this version posted February 10, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 22 Abstract: 23 24 Understanding mechanosensation and other sensory behavior in genetic model systems such as 25 C. elegans is relevant to many human diseases. These studies conventionally require 26 immobilization by glue and manual delivery of stimuli, leading to low experimental throughput 27 and high variability. Here we present a microfluidic platform that delivers precise mechanical 28 stimuli robustly.