ScholarSpace will be brought offline for upgrades on Wednesday December 9th at 11AM HST. Service will be disrupted for approximately 2 hours. Please direct any questions to

Show simple item record

Item Description Hernandez, Luis Manuel Ortiz en_US 2011-07-21T23:08:34Z 2011-07-21T23:08:34Z 2005 en_US
dc.description Thesis (M.S.)--University of Hawaii at Manoa, 2005. en_US
dc.description Includes bibliographical references (leaves 71-72). en_US
dc.description xii, 89 leaves, bound ill. 29 cm en_US
dc.description.abstract This thesis presents a technique to measure cells using a Fabry-Perot optical model along with wavelet decomposition applied to the reflected or transmitted optical spectrum. Cell size measurement is used as an indicator in early diagnosis of cancer. This research is based on developing a non-invasive, optical system to detect dysplasia in mucosal tissues; this is achieved by analysis of the reflectance or transmittance spectrum to determine the mutated cells' sizes. The collected spectrum contains information about the cell's internal structure. To decode this information, an optical cell model was formulated to create a custom mother wavelet to be used to deconvolve the absorption and light scattering components of the collected spectra. Finally, the previous results are fitted to different models for prediction, of cell sizes and the results with the least error are presented as a Gaussian distribution. en_US
dc.language.iso en-US en_US
dc.relation Theses for the degree of Master of Science (University of Hawaii at Manoa). Electrical Engineering; no. 4036 en_US
dc.rights All UHM dissertations and 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 from the copyright owner. en_US
dc.subject Cancer -- Diagnosis -- Equipment and supplies en_US
dc.subject Mucous membrane -- Cancer en_US
dc.title Deconvolution of light scattering and diffuse reflectance signatures for delineation of mucosal cancer cells using wavelet analysis en_US
dc.type Thesis en_US
dc.type.dcmi Text en_US

Item File(s)

Description Files Size Format View
Restricted for viewing only M.S.Q111.H3_4036_r.pdf 4.274Mb PDF View/Open
For UH users only M.S.Q111.H3_4036_uh.pdf 4.269Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record


Advanced Search


My Account