Optical microendoscopy for imaging cells lying deep within live tissue
Abstract/Contents
- Abstract
- Optical microendoscopy is an emerging modality for imaging in live subjects. Using gradient refractive index (GRIN) microlenses, microendoscopy enables subcellular-resolution imaging in deep tissues that are inaccessible by traditional imaging techniques. We present a platform of methods and technologies that build upon GRIN microendoscopy: 1) miniaturized microscopes for imaging in awake, behaving animals, 2) methods for imaging contractile dynamics in the muscles of animal and human subjects, 3) chronic brain preparations that allow for longitudinal examinations of subcellular neuronal features and disease progression, and 4) novel microendoscope probes whose imaging capabilities approach that of standard water-immersion microscope objectives. When combined with the broad sets of available fluorescent reporters, and minimally invasive surgical preparations, the work described in this dissertation enables sophisticated experimental designs for probing how cellular char- acteristics may underlie or explain behavior, in models of both healthy and diseased states.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2010 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Barretto, Robert Juson | |
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Associated with | Stanford University, Department of Biophysics. | |
Primary advisor | Schnitzer, Mark Jacob, 1970- | |
Thesis advisor | Schnitzer, Mark Jacob, 1970- | |
Thesis advisor | Deisseroth, Karl | |
Thesis advisor | Delp, Scott | |
Thesis advisor | Smith, Stephen | |
Advisor | Deisseroth, Karl | |
Advisor | Delp, Scott | |
Advisor | Smith, Stephen |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Robert Barretto. |
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Note | Submitted to the Department of Biophysics. |
Thesis | Ph.D. Stanford University 2010 |
Location | electronic resource |
Access conditions
- Copyright
- © 2010 by Robert Juson Barretto
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