{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/108616"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/108616","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Low noise cmos image sensors","abstract":"Cancer remains a pervasive problem in public health with surgery serving as the primary care option. Fluorescence image-guided surgery has been explored to aid surgeons identify specific tissue in the patient during operations but these systems tend to interfere with workflow. CMOS image sensors have been explored as a solution because of their high performance, low noise and small footprint. Reducing the noise floor on CMOS image sensors makes it possible to develop a general image sensor that can be used for several low light imaging applications. Achieving low noise performance requires minimal noise injection from the sensor system as well as an image sensor architecture that suppresses noise at the pixel level. The standard pixel architecture suffers from several sources of noise which can be alleviated at the expense of sensor performance. By modifying the behavior of the photo-active component, several sources of noise can be removed.","abstract_html":"Cancer remains a pervasive problem in public health with surgery serving as the primary care option. Fluorescence image-guided surgery has been explored to aid surgeons identify specific tissue in the patient during operations but these systems tend to interfere with workflow. CMOS image sensors have been explored as a solution because of their high performance, low noise and small footprint. Reducing the noise floor on CMOS image sensors makes it possible to develop a general image sensor that can be used for several low light imaging applications. Achieving low noise performance requires minimal noise injection from the sensor system as well as an image sensor architecture that suppresses noise at the pixel level. The standard pixel architecture suffers from several sources of noise which can be alleviated at the expense of sensor performance. By modifying the behavior of the photo-active component, several sources of noise can be removed.","abstract_has_math":false,"creators":["Li, Anthony"],"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":["Gruev, Viktor"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-10-07T22:44:37Z","date_published":"2020-10-07T22:44:37Z","updated_at":"2026-07-22T22:24:48Z","subjects":["CMOS Image Sensors","Biomedical Sensors","NIR Imaging","Analog Circuit Design","Sensor Design","Noise"],"languages":["en"],"rights":["Copyright 2020 Anthony Li"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/108616","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gruev, Viktor"]},{"key":"dc:creator","label":"Author","values":["Li, Anthony"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-10-07T22:44:37Z","2022-10-07T22:44:53Z","2020-07-15","2020-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"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":["CMOS Image Sensors","Biomedical Sensors","NIR Imaging","Analog Circuit Design","Sensor Design","Noise"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Anthony Li"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/108616"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Cancer remains a pervasive problem in public health with surgery serving as the primary care option. Fluorescence image-guided surgery has been explored to aid surgeons identify specific tissue in the patient during operations but these systems tend to interfere with workflow. CMOS image sensors have been explored as a solution because of their high performance, low noise and small footprint. Reducing the noise floor on CMOS image sensors makes it possible to develop a general image sensor that can be used for several low light imaging applications. Achieving low noise performance requires minimal noise injection from the sensor system as well as an image sensor architecture that suppresses noise at the pixel level. The standard pixel architecture suffers from several sources of noise which can be alleviated at the expense of sensor performance. By modifying the behavior of the photo-active component, several sources of noise can be removed.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01","The student, Anthony Li, accepted the attached license on 2020-07-15 at 11:20.","The student, Anthony Li, submitted this Thesis for approval on 2020-07-15 at 11:25.","This Thesis was approved for publication on 2020-07-15 at 14:54.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15634 on 2020-10-02 at 15:33:23","Made available in DSpace on 2020-10-07T22:44:37Z (GMT). No. of bitstreams: 2 LI-THESIS-2020.pdf: 1056772 bytes, checksum: e89707007370f9981055df8c0c0ebf49 (MD5) LICENSE.txt: 4207 bytes, checksum: e5ca1649a0eef33ba26050bd7880d17d (MD5) Previous issue date: 2020-07-15","Embargo set by: Seth Robbins for item 116243 Lift date: 2022-10-07T22:44:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Low noise cmos image sensors"]}]}],"canonical_facts":{"dc:contributor":["Gruev, Viktor"],"dc:creator":["Li, Anthony"],"dc:date":["2020-10-07T22:44:37Z","2022-10-07T22:44:53Z","2020-07-15","2020-08"],"dc:description":["Cancer remains a pervasive problem in public health with surgery serving as the primary care option. Fluorescence image-guided surgery has been explored to aid surgeons identify specific tissue in the patient during operations but these systems tend to interfere with workflow. CMOS image sensors have been explored as a solution because of their high performance, low noise and small footprint. Reducing the noise floor on CMOS image sensors makes it possible to develop a general image sensor that can be used for several low light imaging applications. Achieving low noise performance requires minimal noise injection from the sensor system as well as an image sensor architecture that suppresses noise at the pixel level. The standard pixel architecture suffers from several sources of noise which can be alleviated at the expense of sensor performance. By modifying the behavior of the photo-active component, several sources of noise can be removed.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01","The student, Anthony Li, accepted the attached license on 2020-07-15 at 11:20.","The student, Anthony Li, submitted this Thesis for approval on 2020-07-15 at 11:25.","This Thesis was approved for publication on 2020-07-15 at 14:54.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15634 on 2020-10-02 at 15:33:23","Made available in DSpace on 2020-10-07T22:44:37Z (GMT). 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