{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/117590"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/117590","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"From the ocean to the operating room: translating single-sensor spectral imagers to image-guided cancer surgery","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","abstract_has_math":false,"creators":["Blair, Steven Michael"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Gruev, Viktor","Cunningham, Brian T.","Nie, Shuming","Oelze, Michael L."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12","date_published":"2022-12","updated_at":"2026-07-22T22:24:56Z","subjects":["Image-guided Surgery","Intraoperative Imaging","Optical Imaging","Spectral Imaging","Fluorescence Imaging","Molecular Imaging","Cmos Image Sensor","Bioinspired Design","Stacked Photodiode Image Sensor","Pixelated Interference Filters","Demosaicing Algorithm","Prostate Cancer And Breast Cancer","Tumor Detection And Classification","Sentinel Lymph Node Mapping And Biopsy"],"languages":["en","eng"],"rights":["All copyright information for published works has been produced in the chapters associated with those works. 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In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of University of Illinois Urbana-Champaign's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink. 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For instance, the mantis shrimp’s compound eye, constructed from interleaved layers of light-absorbing pigments and photosensitive cells, can see upwards of 12 different colors spanning the optical spectrum, whereas the human eye, constructed from a single layer of photosensitive cells, can see just three different colors confined solely to the visible spectrum. Such inspiration is in no less demand as scientists, engineers, and doctors alike look to finally do what has long been considered impossible—to cure cancer once and for all. In this way, the mantis shrimp’s extraordinary ability to make visible what most humans would say is invisible might serve as a model for the surgeon who must distinguish, from the subtle signs that make treatment so difficult, the cancerous tissue that must be removed for a patient to be put into remission and the healthy tissue that should be retained for a patient to be spared lifelong side effects. This dissertation proposes a new approach to surgical systems that seeks to translate the evolutionary design that has enabled the mantis shrimp to thrive in the ocean into a product of engineering that can empower surgeons to make the tough decisions they face in the operating room. It then demonstrates, through the development of a hexachromatic bio-inspired camera for image-guided cancer surgery and the evaluation of related single-sensor spectral imagers capable of detecting more cancers with greater sensitivity, that such an approach can already make a difference in prostate cancer and breast cancer—and could continue to improve outcomes for all those impacted by cancer’s scourge."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["From the ocean to the operating room: translating single-sensor spectral imagers to image-guided cancer surgery"]}]}],"canonical_facts":{"dc:contributor":["Gruev, Viktor","Cunningham, Brian T.","Nie, Shuming","Oelze, Michael L."],"dc:creator":["Blair, Steven Michael"],"dc:date":["2022-12","2022-12-02"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","The student, Steven Blair, accepted the attached license on 2022-12-02 at 15:07.","The student, Steven Blair, submitted this Dissertation for approval on 2022-12-02 at 15:30.","This Dissertation was approved for publication on 2022-12-02 at 16:26.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18713 on 2023-04-12 at 11:36:27","Nature has long served to remind humankind of all that is possible beyond their own capabilities. 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This dissertation proposes a new approach to surgical systems that seeks to translate the evolutionary design that has enabled the mantis shrimp to thrive in the ocean into a product of engineering that can empower surgeons to make the tough decisions they face in the operating room. It then demonstrates, through the development of a hexachromatic bio-inspired camera for image-guided cancer surgery and the evaluation of related single-sensor spectral imagers capable of detecting more cancers with greater sensitivity, that such an approach can already make a difference in prostate cancer and breast cancer—and could continue to improve outcomes for all those impacted by cancer’s scourge."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/117590"],"dc:language":["en","eng"],"dc:rights":["All copyright information for published works has been produced in the chapters associated with those works. 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If applicable, University Microfilms and/or ProQuest Library, or the Archives of Canada may supply single copies of the dissertation."],"dc:subject":["Image-guided Surgery","Intraoperative Imaging","Optical Imaging","Spectral Imaging","Fluorescence Imaging","Molecular Imaging","Cmos Image Sensor","Bioinspired Design","Stacked Photodiode Image Sensor","Pixelated Interference Filters","Demosaicing Algorithm","Prostate Cancer And Breast Cancer","Tumor Detection And Classification","Sentinel Lymph Node Mapping And Biopsy"],"dc:title":["From the ocean to the operating room: translating single-sensor spectral imagers to image-guided cancer surgery"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}