Show simple item record

dc.contributor.advisorKarl K. Berggren.en_US
dc.contributor.authorAgarwal, Akshay.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2021-01-06T19:34:44Z
dc.date.available2021-01-06T19:34:44Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129240
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, September, 2020en_US
dc.descriptionCataloged from student-submitted PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 257-267).en_US
dc.description.abstractElectron microscopy is a powerful imaging technique that allows us to push the limits of our understanding of materials at the nanoscale. An important limitation in the application of electron microscopy to organic and biological materials is sample damage induced by the electron beam. Recently, quantum mechanical and adaptive illumination imaging schemes have been devised to use the available electron dose efficiently to get the maximum information about the specimen. The primary requirement for the implementation of these schemes is efficient illumination and detection of electrons in the microscopes, which has limited the applicability of such low-dose imaging techniques. In this thesis, we have developed and implemented low-dose imaging schemes achievable with current technology on a wide range of electron microscopes. We have also proposed microscopy schemes that combine ideas from quantum mechanical and adaptive illumination imaging to lower the electron dose required for imaging by up to an order of magnitude. Further, we have developed electron count imaging on a scanning electron microscope (SEM) and demonstrated improvement of up to 30% in image quality for the same imaging dose. Finally, we have implemented an adaptive illumination scheme on the SEM and demonstrated that the incident electron dose can be traded off with a tolerable increase in imaging errors. The work in this thesis improves the dose reduction possible with quantum imaging and adaptive illumination schemes and represents a major step towards their implementation in different types of electron microscopes.en_US
dc.description.statementofresponsibilityby Akshay Agarwal.en_US
dc.format.extent267 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.titleTechniques for enhancing electron microscopyen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1227515772en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2021-01-06T19:34:43Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentEECSen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record