{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/78681"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/78681","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Mueller-matrix-based analysis for second-harmonic generation imaging","abstract":"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","abstract_html":"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","abstract_has_math":false,"creators":["Okoro, Chukwuemeka Onyekere"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-07-22T22:33:59Z","date_published":"2015-07-22T22:33:59Z","updated_at":"2026-07-22T22:26:12Z","subjects":["Second-harmonic generation","Mueller matrix"],"languages":["en"],"rights":["Copyright 2015 Chukwuemeka Okoro"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/78681","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Okoro, Chukwuemeka Onyekere"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-07-22T22:33:59Z","2017-07-23T09:15:34Z","2015-05","2015-04-30","2015-5"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Second-harmonic generation","Mueller matrix"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Chukwuemeka Okoro"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/78681"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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. 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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. 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