Fully automated cellular-resolution vertebrate screening platform with parallel animal processing
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Yanik_Fully automated.pdf
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Author(s)
Chang, Tsung-Yao
Pardo-Martin, Carlos
Allalou, Amin Mohamed
Yanik, Mehmet Fatih
Wahlby, Carolina
Date Issued
December 2011
Journal
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
Abstract
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.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1039/c1lc20849g
