2026-09-19T02:40:36Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1008902022-01-18T16:49:56Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Joseph Jacobson.
Fracchia, Charles (Charles Victor)
Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2016-01-15T21:11:24Z
2016-01-15T21:11:24Z
2014
2014
http://hdl.handle.net/1721.1/100890
933611231
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.
100 pages
eng
Massachusetts Institute of Technology
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
Architecture. Program in Media Arts and Sciences.
Language & tools for context-aware biology
Language and tools for context-aware biology
Thesis
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