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University of Illinois at Urbana-Champaign

Mueller-matrix-based analysis for second-harmonic generation imaging

Abstract

dc:description

Second-harmonic generation microscopy takes advantage of second-order nonlinear property for imaging of biological structures. Invoking quantitative image analysis techniques facilitates the assessment of tissues in varying states. This thesis presents a quantitative description of the relative structural difference in collagen-based tissues by second harmonic generation (SHG) imaging techniques involving polarization investigation. The Mueller matrix formalism demonstrates a polarization-based analysis approach for assessment of varying samples. The associated second-order Mueller matrices are generated by applying image processing algorithms to sub-grids of image sets obtained from a forward imaging microscope. By defining scalar metrics such as the degree of polarization and the depolarization, a quantitative evaluation of the samples under investigation is provided. A discussion of the capabilities for tissue assessment and techniques for improvements in the data acquisition speed and analysis will also be proffered

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Electrical & Computer Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Okoro, Chukwuemeka Onyekere

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • Copyright 2015 Chukwuemeka Okoro
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/78681
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/78681

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Okoro, Chukwuemeka Onyekere. Mueller-matrix-based analysis for second-harmonic generation imaging. Thesis thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/78681