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dc.contributor.advisorEdward S. Boyden.en_US
dc.contributor.authorChang, Jeremy Ten_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2011-02-23T14:20:31Z
dc.date.available2011-02-23T14:20:31Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/61148
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 45-46).en_US
dc.description.abstractFast scanning two-photon microscopy coupled with the use light activated ion channels provides the basis for fast imaging and stimulation in the characterization of in vivo neural networks. A two-photon microscope capable of fast scanning using acousto-optic deflectors was designed and implemented. The software controller was expanded so that random access scan in three dimensions could be handled, so that algorithms that can identify neurons from images acquired using the two-photon microscope can be developed. Finally the localization of optogenetic Channelrhodopsin-2 channel to the neuron cell body was tested using a ChR2-MBD construct.en_US
dc.description.statementofresponsibilityby Jeremy T Chang.en_US
dc.format.extent46 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleFast scanning two-photon microscopyen_US
dc.title.alternativeFast scanning 2-photon microscopyen_US
dc.title.alternativeFast scanning two-photon microscopeen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc698127201en_US


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