Fully automated cellular-resolution vertebrate screening platform with parallel animal processing
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en_US |
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Royal Society of Chemistry
2014
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| Online Access: | http://hdl.handle.net/1721.1/91136 |
| _version_ | 1826198235288436736 |
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| author | Chang, Tsung-Yao Pardo-Martin, Carlos Allalou, Amin Mohamed Yanik, Mehmet Fatih Wahlby, Carolina |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Chang, Tsung-Yao Pardo-Martin, Carlos Allalou, Amin Mohamed Yanik, Mehmet Fatih Wahlby, Carolina |
| author_sort | Chang, Tsung-Yao |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:01:51Z |
| format | Article |
| id | mit-1721.1/91136 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:01:51Z |
| publishDate | 2014 |
| publisher | Royal Society of Chemistry |
| record_format | dspace |
| spelling | mit-1721.1/911362022-10-01T00:36:38Z Fully automated cellular-resolution vertebrate screening platform with parallel animal processing Chang, Tsung-Yao Pardo-Martin, Carlos Allalou, Amin Mohamed Yanik, Mehmet Fatih Wahlby, Carolina Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Chang, Tsung-Yao Pardo-Martin, Carlos Yanik, Mehmet Fatih 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. National Institutes of Health (U.S.) (Director's New Innovator Award DP2 OD002989) National Institutes of Health (U.S.) (Transformative Research Award R01 NS073127) David & Lucile Packard Foundation (Award in Science and Engineering) Broad Institute of MIT and Harvard (SPARC Award) Foxconn International Holdings Ltd. Athinoula A. Martinos Center for Biomedical Imaging (Training Grant) 2014-10-21T18:22:03Z 2014-10-21T18:22:03Z 2011-12 2011-09 Article http://purl.org/eprint/type/JournalArticle 1473-0197 1473-0189 http://hdl.handle.net/1721.1/91136 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. en_US http://dx.doi.org/10.1039/c1lc20849g Lab on a Chip Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Royal Society of Chemistry PMC |
| spellingShingle | Chang, Tsung-Yao Pardo-Martin, Carlos Allalou, Amin Mohamed Yanik, Mehmet Fatih Wahlby, Carolina Fully automated cellular-resolution vertebrate screening platform with parallel animal processing |
| title | Fully automated cellular-resolution vertebrate screening platform with parallel animal processing |
| title_full | Fully automated cellular-resolution vertebrate screening platform with parallel animal processing |
| title_fullStr | Fully automated cellular-resolution vertebrate screening platform with parallel animal processing |
| title_full_unstemmed | Fully automated cellular-resolution vertebrate screening platform with parallel animal processing |
| title_short | Fully automated cellular-resolution vertebrate screening platform with parallel animal processing |
| title_sort | fully automated cellular resolution vertebrate screening platform with parallel animal processing |
| url | http://hdl.handle.net/1721.1/91136 |
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