Show simple item record

dc.contributor.advisorChristopher E. Carr.en_US
dc.contributor.authorLee, Sam S.,M. Eng.(Sam Seunghun)Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2021-05-24T19:52:19Z
dc.date.available2021-05-24T19:52:19Z
dc.date.copyright2021en_US
dc.date.issued2021en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/130699
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 49-51).en_US
dc.description.abstractFinding life beyond Earth has been a major focus of space exploration since the dawn of the space age. There have been a number of instruments developed for the purposes of life detection, but there are lmited options for detecting informational polymers like nucleic acids or proteins in situ. Single molecule detection systems using nanogaps like the AXN system developed by Taniguchi Lab in Osaka University [25] are able to detect and potentially sequence informational polymers like DNA, RNA and proteins, and they might be able to detect alternative informational polymers if they exist. In this project, we developed a prototype Electronic Life-detection Instrument for Enceladus/Europa (ELIE) based on the AXN system. ELIE has been designed as a nanogap single molecule detection system with the goal of making a life detection instrument capable of detecting informational polymers in situ. Alongside newly designed hardware system, we developed a control software designed specifically for ELIE as well as a new analysis pipeline that is capable of handling data from both ELIE and the original nanogap system, AXN. ELIE, although currently in early stages of development, seems to be able to detect molecules that AXN can in a similar fashion, and the analysis pipeline was effective on data from both systems.en_US
dc.description.statementofresponsibilityby Sam S. Lee.en_US
dc.format.extent51 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleSingle molecule detection and classification using nanogapsen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1251800297en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2021-05-24T19:52:19Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record