Language & tools for context-aware biology
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2016
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Online Access: | http://hdl.handle.net/1721.1/100890 |
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author | Fracchia, Charles (Charles Victor) |
author2 | Joseph Jacobson. |
author_facet | Joseph Jacobson. Fracchia, Charles (Charles Victor) |
author_sort | Fracchia, Charles (Charles Victor) |
collection | MIT |
description | Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014. |
first_indexed | 2024-09-23T14:36:03Z |
format | Thesis |
id | mit-1721.1/100890 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T14:36:03Z |
publishDate | 2016 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1008902022-01-18T16:49:56Z Language & tools for context-aware biology Language and tools for context-aware biology Fracchia, Charles (Charles Victor) Joseph Jacobson. Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences. Program in Media Arts and Sciences (Massachusetts Institute of Technology) Architecture. Program in Media Arts and Sciences. Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 95-100). Current biological research workflows make use of disparate, poorly integrated systems that cause large mental burden on the scientist leading to mistakes on often long, complex and costly experimental procedures. The lack of open tools to assist in the collection of distributed experimental conditions and data is largely responsible making protocols difficult to debug and laboratory practice hard to learn. In this thesis, we describe an open Protocol Descriptor Language (PDL) and system to enable a context-rich, quantitative approach to biological research. We detail the development of a closed-loop pipetting technology and a wireless, sample temperature sensor that integrate with our Protocol Description platform enabling novel, real-time experimental feedback to the researcher thereby reducing mistakes and increasing overall scientific reproducibility. by Charles Fracchia. S.M. 2016-01-15T21:11:24Z 2016-01-15T21:11:24Z 2014 2014 Thesis http://hdl.handle.net/1721.1/100890 933611231 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 100 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Architecture. Program in Media Arts and Sciences. Fracchia, Charles (Charles Victor) Language & tools for context-aware biology |
title | Language & tools for context-aware biology |
title_full | Language & tools for context-aware biology |
title_fullStr | Language & tools for context-aware biology |
title_full_unstemmed | Language & tools for context-aware biology |
title_short | Language & tools for context-aware biology |
title_sort | language tools for context aware biology |
topic | Architecture. Program in Media Arts and Sciences. |
url | http://hdl.handle.net/1721.1/100890 |
work_keys_str_mv | AT fracchiacharlescharlesvictor languagetoolsforcontextawarebiology AT fracchiacharlescharlesvictor languageandtoolsforcontextawarebiology |