{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/117520"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/117520","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Translation of infrared spectroscopic imaging for digital histopathology of clinical specimens","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":["Mittal, Anirudh"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Bioengineering","degree_department":null,"school":null,"contributors":["Bhargava, Rohit","Irudayaraj, Joseph","Nie, Shuming","Higham, Anna"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12","date_published":"2022-12","updated_at":"2026-07-22T22:24:56Z","subjects":["Infrared spectroscopic imaging","Digital histopathology"],"languages":["en","eng"],"rights":["Copyright 2022 Anirudh Mittal"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/117520","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Bhargava, Rohit","Irudayaraj, Joseph","Nie, Shuming","Higham, Anna"]},{"key":"dc:creator","label":"Author","values":["Mittal, Anirudh"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-12","2022-08-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Bioengineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Infrared spectroscopic imaging","Digital histopathology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Anirudh Mittal"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/117520"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","The student, Anirudh Mittal, accepted the attached license on 2022-08-04 at 09:06.","The student, Anirudh Mittal, submitted this Dissertation for approval on 2022-08-04 at 09:20.","This Dissertation was approved for publication on 2022-08-08 at 12:40.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18447 on 2023-04-12 at 11:34:12","Over the past several decades, infrared (IR) spectroscopic imaging has been widely proposed as a potential diagnostic tool for histopathological studies in research and for human disease evaluation. This imaging technique couples the chemical information provided by the absorbance of IR light and the structural information provided by optical microscopy. This information can be used as a molecular and spatial barcode of the measured sample. Since the IR absorption provides image contrast and uniquely identifies the sample’s chemistry without dyes or prior knowledge of composition, it enables a systematic analysis with enhanced ability to extract diagnostic information. However, most IR spectroscopic imaging approaches require significant time for data acquisition and processing. Limiting the amount of spectral data needed has significantly reduced the acquisition time, but its clinical feasibility is yet to be demonstrated. Therefore, the major goal of my dissertation work is carefully designing a measurement protocol with a high signal-to-noise ratio (SNR) and adequate pixel sizes that are sufficient for digital assessment of clinical samples in an intraoperative time frame. The work addresses two key clinical problems by developing a non-destructive technique (1) for intraoperative imaging of cavity shave margins (CSM) in breast conserving surgery (BCS) and (2) for detection and subtyping of cardiac amyloidosis with high sensitivity."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Translation of infrared spectroscopic imaging for digital histopathology of clinical specimens"]}]}],"canonical_facts":{"dc:contributor":["Bhargava, Rohit","Irudayaraj, Joseph","Nie, Shuming","Higham, Anna"],"dc:creator":["Mittal, Anirudh"],"dc:date":["2022-12","2022-08-08"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-12-01","The student, Anirudh Mittal, accepted the attached license on 2022-08-04 at 09:06.","The student, Anirudh Mittal, submitted this Dissertation for approval on 2022-08-04 at 09:20.","This Dissertation was approved for publication on 2022-08-08 at 12:40.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18447 on 2023-04-12 at 11:34:12","Over the past several decades, infrared (IR) spectroscopic imaging has been widely proposed as a potential diagnostic tool for histopathological studies in research and for human disease evaluation. This imaging technique couples the chemical information provided by the absorbance of IR light and the structural information provided by optical microscopy. This information can be used as a molecular and spatial barcode of the measured sample. Since the IR absorption provides image contrast and uniquely identifies the sample’s chemistry without dyes or prior knowledge of composition, it enables a systematic analysis with enhanced ability to extract diagnostic information. However, most IR spectroscopic imaging approaches require significant time for data acquisition and processing. Limiting the amount of spectral data needed has significantly reduced the acquisition time, but its clinical feasibility is yet to be demonstrated. Therefore, the major goal of my dissertation work is carefully designing a measurement protocol with a high signal-to-noise ratio (SNR) and adequate pixel sizes that are sufficient for digital assessment of clinical samples in an intraoperative time frame. The work addresses two key clinical problems by developing a non-destructive technique (1) for intraoperative imaging of cavity shave margins (CSM) in breast conserving surgery (BCS) and (2) for detection and subtyping of cardiac amyloidosis with high sensitivity."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/117520"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Anirudh Mittal"],"dc:subject":["Infrared spectroscopic imaging","Digital histopathology"],"dc:title":["Translation of infrared spectroscopic imaging for digital histopathology of clinical specimens"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Bioengineering"],"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"}