| dc.contributor.advisor | Polina Golland and Richard T. Lee. | en_US |
| dc.contributor.author | Cruz, Francisco (Francisco Ui) | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2007-04-03T17:05:58Z | |
| dc.date.available | 2007-04-03T17:05:58Z | |
| dc.date.copyright | 2005 | en_US |
| dc.date.issued | 2006 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/37051 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2006. | en_US |
| dc.description | Includes bibliographical references (leaf 41). | en_US |
| dc.description.abstract | Cell morphology of tissue is naturally three-dimensional. Most current methods for tissue analysis use two dimensional histological images of the tissue samples, restricting the analysis to 2D. Existing approaches do not provide essential three-dimensional information such as cell volume, shape and structural orientation of cells within the tissue. This thesis investigates a method to extract three dimensional data using two-dimensional microscopy. We demonstrate that three dimensional cell structure can be acquired using two dimensional fluorescence microscopy and two-photon microscopy and explore the application of the analysis to studies of cardiac tissue. | en_US |
| dc.description.statementofresponsibility | by Francisco Cruz. | en_US |
| dc.format.extent | 55 leaves | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Volumetric reconstruction of tissue structure from two-dimensional microscopy images | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 79476436 | en_US |
