{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/18321"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/18321","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Quantitative phase imaging for blood cytometry","abstract":"Blood smear analysis has remained a crucial diagnostic tool for pathologists despite the advent of automatic analyzers such as flow cytometers and impedance counters. Though these current methods have proven to be indispensable tools for physicians and researchers alike, they provide limited information on the detailed morphology of individual cells and merely alert the operator to manually examine a blood smear by raising flags when abnormalities are detected. Here I demonstrate an automatic interferometry based smear analysis technique known as Diffraction Phase Cytometry (DPC), which is capable of providing the same information on red blood cells as is provided by current clinical analyzers, while rendering additional, currently unavailable parameters on the 2D and 3D morphology of individual red blood cells (RBCs). To validate the utility of the technique in a clinical setting, I present a comparison between tests generated from 32 patients by a state-of-the-art clinical impedance counter and DPC. The majority of work presented in this thesis is drawn from two publications: M. Mir et al., Journal of Biomedical Optics, vol. 15 (2), 2010, and M. Mir et al. Optics Express, vol. 17, 2009.","abstract_html":"Blood smear analysis has remained a crucial diagnostic tool for pathologists despite the advent of automatic analyzers such as flow cytometers and impedance counters. Though these current methods have proven to be indispensable tools for physicians and researchers alike, they provide limited information on the detailed morphology of individual cells and merely alert the operator to manually examine a blood smear by raising flags when abnormalities are detected. Here I demonstrate an automatic interferometry based smear analysis technique known as Diffraction Phase Cytometry (DPC), which is capable of providing the same information on red blood cells as is provided by current clinical analyzers, while rendering additional, currently unavailable parameters on the 2D and 3D morphology of individual red blood cells (RBCs). To validate the utility of the technique in a clinical setting, I present a comparison between tests generated from 32 patients by a state-of-the-art clinical impedance counter and DPC. The majority of work presented in this thesis is drawn from two publications: M. Mir et al., Journal of Biomedical Optics, vol. 15 (2), 2010, and M. Mir et al. Optics Express, vol. 17, 2009.","abstract_has_math":false,"creators":["Mir, Mustafa A."],"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":["Popescu, Gabriel"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-01-14T22:46:09Z","date_published":"2011-01-14T22:46:09Z","updated_at":"2026-07-22T22:25:11Z","subjects":["Quantitative Phase Imaging","Blood Cytometry","Interferometry","Single Cell Morphology"],"languages":["en"],"rights":["Copyright 2010 Mustafa A. 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Optics Express, vol. 17, 2009.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-11-29T19:50:01Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Mir_Mustafa.pdf: 761266 bytes, checksum: fb0c7ee1ef9ec7032b5a373c37719f7f (MD5)","Made available in DSpace on 2011-01-14T22:46:09Z (GMT). No. of bitstreams: 2 Mir_Mustafa.pdf: 779392 bytes, checksum: 89495822db998f30daded1b7b1b5ffb5 (MD5) license.txt: 4058 bytes, checksum: d00b5d24886a3d332d5a5d70d9745d6e (MD5)"]},{"key":"dc:title","label":"Title","values":["Quantitative phase imaging for blood cytometry"]}]}],"canonical_facts":{"dc:contributor":["Popescu, Gabriel"],"dc:creator":["Mir, Mustafa A."],"dc:date":["2011-01-14T22:46:09Z","2010-12"],"dc:description":["Blood smear analysis has remained a crucial diagnostic tool for pathologists despite the advent of automatic analyzers such as flow cytometers and impedance counters. 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