Fully automated cellular-resolution vertebrate screening platform with parallel animal processing
Author(s)
Chang, Tsung-Yao; Pardo-Martin, Carlos; Allalou, Amin Mohamed; Yanik, Mehmet Fatih; Wahlby, Carolina
DownloadYanik_Fully automated.pdf (1.455Mb)
OPEN_ACCESS_POLICY
Open Access Policy
Creative Commons Attribution-Noncommercial-Share Alike
Terms of use
Metadata
Show full item recordAbstract
The zebrafish larva is an optically-transparent vertebrate model with complex organs that is widely used to study genetics, developmental biology, and to model various human diseases. In this article, we present a set of novel technologies that significantly increase the throughput and capabilities of our previously described vertebrate automated screening technology (VAST). We developed a robust multi-thread system that can simultaneously process multiple animals. System throughput is limited only by the image acquisition speed rather than by the fluidic or mechanical processes. We developed image recognition algorithms that fully automate manipulation of animals, including orienting and positioning regions of interest within the microscope's field of view. We also identified the optimal capillary materials for high-resolution, distortion-free, low-background imaging of zebrafish larvae.
Date issued
2011-12Department
Harvard University--MIT Division of Health Sciences and Technology; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
Lab on a Chip
Publisher
Royal Society of Chemistry
Citation
Chang, Tsung-Yao, Carlos Pardo-Martin, Amin Allalou, Carolina Wählby, and Mehmet Fatih Yanik. “Fully Automated Cellular-Resolution Vertebrate Screening Platform with Parallel Animal Processing.” Lab Chip 12, no. 4 (2012): 711.
Version: Author's final manuscript
ISSN
1473-0197
1473-0189