| dc.contributor.advisor | Ramesh Raskar and Zigurts Majumdar. | en_US |
| dc.contributor.author | Harradon, Michael Robert | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2016-01-04T20:51:11Z | |
| dc.date.available | 2016-01-04T20:51:11Z | |
| dc.date.copyright | 2014 | en_US |
| dc.date.issued | 2014 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/100662 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. | en_US |
| dc.description | Cataloged from PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (page 37). | en_US |
| dc.description.abstract | A low-cost cell phone spectrometer using the image sensor in the cell phone camera is developed and analyzed. The spectrometer design is optimized for sensitivity and spectral resolution. Calibration techniques are developed to enable robust data collection across different phone models with minimal equipment. Novel algorithms for robust calibration with minimal equipment are described and implemented. The spectrometer is then characterized for use in colorimetric systems. Finally, the cell phone spectrometer is used in a forensic application for dating blood spots based on time-dependent oxidation-induced spectral changes. | en_US |
| dc.description.statementofresponsibility | by Michael Robert Harradon. | en_US |
| dc.format.extent | 37 pages | 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 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Quantitative spectral data acquisition and analysis with modular smartphone assemblies | 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 | 931902356 | en_US |
