{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/105865"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/105865","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Compressed fluorescence lifetime imaging microscope","abstract":"Fluorescence lifetime imaging microscopy (FLIM) has been extensively applied in wide biomedical applications from single cell studies to medical diagnosis. While the state-of-the-art FLIM techniques are highly sensitive to biological dynamics such as fluorescence resonance emission transfer (FRET), they depend on repetitive measurements and the slow frame rate limits the study of ultrafast biological dynamics. This thesis reports the world’s fastest high-resolution FLIM at 100 frames per second (fps). This system, referred to as compressed FLIM, can capture a widefield lifetime image of 500  450 pixels within a single camera snapshot and operate real-time two-dimensional (2D) FLIM at 100 fps. By combining compressed ultrafast photography (CUP) with FLIM and adopting dual-camera detection, compressed FLIM is demonstrated for both fluorescent biological samples lifetime imaging as well as 75 fps image acquisition of fluorescent beads diffusion dynamics. Compressed FLIM holds great promise for quantitative live cell imaging applications. Compressed FLIM also has great potential in high-speed imaging of fluorescence lifetime in transient biological events such as FRET and may further extend quantitative live cell imaging such as monitoring neural spiking.","abstract_html":"Fluorescence lifetime imaging microscopy (FLIM) has been extensively applied in wide biomedical applications from single cell studies to medical diagnosis. While the state-of-the-art FLIM techniques are highly sensitive to biological dynamics such as fluorescence resonance emission transfer (FRET), they depend on repetitive measurements and the slow frame rate limits the study of ultrafast biological dynamics. This thesis reports the world’s fastest high-resolution FLIM at 100 frames per second (fps). This system, referred to as compressed FLIM, can capture a widefield lifetime image of 500  450 pixels within a single camera snapshot and operate real-time two-dimensional (2D) FLIM at 100 fps. By combining compressed ultrafast photography (CUP) with FLIM and adopting dual-camera detection, compressed FLIM is demonstrated for both fluorescent biological samples lifetime imaging as well as 75 fps image acquisition of fluorescent beads diffusion dynamics. Compressed FLIM holds great promise for quantitative live cell imaging applications. Compressed FLIM also has great potential in high-speed imaging of fluorescence lifetime in transient biological events such as FRET and may further extend quantitative live cell imaging such as monitoring neural spiking.","abstract_has_math":false,"creators":["Ma, Yayao"],"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":["Gao, Liang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-11-26T20:58:29Z","date_published":"2019-11-26T20:58:29Z","updated_at":"2026-07-22T22:24:45Z","subjects":["FLIM","CUP"],"languages":["en"],"rights":["Copyright 2019 Yayao Ma"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/105865","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gao, Liang"]},{"key":"dc:creator","label":"Author","values":["Ma, Yayao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-11-26T20:58:29Z","2021-11-27T10:15:34Z","2019-06-14","2019-08"]},{"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":["FLIM","CUP"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Yayao Ma"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/105865"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Fluorescence lifetime imaging microscopy (FLIM) has been extensively applied in wide biomedical applications from single cell studies to medical diagnosis. While the state-of-the-art FLIM techniques are highly sensitive to biological dynamics such as fluorescence resonance emission transfer (FRET), they depend on repetitive measurements and the slow frame rate limits the study of ultrafast biological dynamics. This thesis reports the world’s fastest high-resolution FLIM at 100 frames per second (fps). This system, referred to as compressed FLIM, can capture a widefield lifetime image of 500  450 pixels within a single camera snapshot and operate real-time two-dimensional (2D) FLIM at 100 fps. By combining compressed ultrafast photography (CUP) with FLIM and adopting dual-camera detection, compressed FLIM is demonstrated for both fluorescent biological samples lifetime imaging as well as 75 fps image acquisition of fluorescent beads diffusion dynamics. Compressed FLIM holds great promise for quantitative live cell imaging applications. Compressed FLIM also has great potential in high-speed imaging of fluorescence lifetime in transient biological events such as FRET and may further extend quantitative live cell imaging such as monitoring neural spiking.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-08-01","The student, Yayao Ma, accepted the attached license on 2019-06-13 at 10:03.","The student, Yayao Ma, submitted this Thesis for approval on 2019-06-13 at 10:05.","This Thesis was approved for publication on 2019-06-14 at 13:46.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14033 on 2019-11-26 at 13:59:50","Made available in DSpace on 2019-11-26T20:58:29Z (GMT). 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While the state-of-the-art FLIM techniques are highly sensitive to biological dynamics such as fluorescence resonance emission transfer (FRET), they depend on repetitive measurements and the slow frame rate limits the study of ultrafast biological dynamics. This thesis reports the world’s fastest high-resolution FLIM at 100 frames per second (fps). This system, referred to as compressed FLIM, can capture a widefield lifetime image of 500  450 pixels within a single camera snapshot and operate real-time two-dimensional (2D) FLIM at 100 fps. By combining compressed ultrafast photography (CUP) with FLIM and adopting dual-camera detection, compressed FLIM is demonstrated for both fluorescent biological samples lifetime imaging as well as 75 fps image acquisition of fluorescent beads diffusion dynamics. Compressed FLIM holds great promise for quantitative live cell imaging applications. Compressed FLIM also has great potential in high-speed imaging of fluorescence lifetime in transient biological events such as FRET and may further extend quantitative live cell imaging such as monitoring neural spiking.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-08-01","The student, Yayao Ma, accepted the attached license on 2019-06-13 at 10:03.","The student, Yayao Ma, submitted this Thesis for approval on 2019-06-13 at 10:05.","This Thesis was approved for publication on 2019-06-14 at 13:46.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14033 on 2019-11-26 at 13:59:50","Made available in DSpace on 2019-11-26T20:58:29Z (GMT). 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