Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors
- Autores
- Kulkarni, Madhusudan B.; Reed, Matthew S.; Cao, Xu; García, Héctor Alfredo; Ochoa, Marien I.; Jiang, Shudong; Hasan, Tayyaba; Doyley, Marvin M.; Pogue, Brian W.
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Significance: Fluorescence sensing within tissue is an effective tool for tissue characterization; however, the modality and geometry of the image acquisition can alter the observed signal.Aim: We introduce a novel optical fiber-based system capable of measuring two fluorescent contrast agents through 2 cm of tissue with simple passive electronic switching between the excitation light, simultaneously acquiring fluorescence and excitation data. The goal was to quantify indocyanine green (ICG) and protoporphyrin IX (PpIX) within tissue, and the sampling method was compared with wide-field surface imaging to contrast the value of deep sensing versus surface imaging.Approach: This was achieved by choosing filters for specific wavelengths that were mutually exclusive between ICG and PpIX and coupling these filters to two separate detectors, which allows for direct swapping of the excitation and emission channels by switching the on-time of each excitation laser between 780- and 633-nm wavelengths.Results: This system was compared with two non-contact surface imaging systems for both ICG and PpIX, which revealed that the fluorescence depth sensing system was superior in its ability to resolve kinetics differences in deeper tissues that would normally be dominated by strong signals from skin and other surface tissues. Specifically, the system was tested using pancreatic adenocarcinoma tumors injected into murine models, which were imaged at several time points throughout tumor growth to its ∼6-mm diameter. This demonstrated the system’s capability to track longitudinal changes in ICG and PpIX kinetics that result from tumor growth and development, with larger tumors showing sluggish uptake and clearance of ICG, which was not observable with surface imaging. Similarly, PpIX was quantified, which showed slower kinetics over different time points, and was further compared with the wide-filed imager. These results were further validated through depth measurements in tissue phantoms and model-based interpretation.Conclusion: This fluorescence depth sensing system can be used to sample the interior blood flow characteristics by ICG sensing of tissue as deep as 20 mm into the tissue with sensitivity to kinetics that are superior to surface imaging and may be combined with other imaging modalities such as ultrasound to provide guided deep fluorescence measurements.
Fil: Kulkarni, Madhusudan B.. University of Wisconsin; Estados Unidos
Fil: Reed, Matthew S.. University of Wisconsin; Estados Unidos
Fil: Cao, Xu. University of Wisconsin; Estados Unidos
Fil: García, Héctor Alfredo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina. University of Wisconsin; Estados Unidos
Fil: Ochoa, Marien I.. University of Wisconsin; Estados Unidos
Fil: Jiang, Shudong. Dartmouth College; Estados Unidos
Fil: Hasan, Tayyaba. Harvard Medical School; Estados Unidos
Fil: Doyley, Marvin M.. Rochester Institute of Technology; Estados Unidos
Fil: Pogue, Brian W.. University of Wisconsin; Estados Unidos. Dartmouth College; Estados Unidos - Materia
-
Tissues
Fluorescence
Depth Sensing
FIber Optics
Kinetics
Cancer - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/261261
Ver los metadatos del registro completo
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Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumorsKulkarni, Madhusudan B.Reed, Matthew S.Cao, XuGarcía, Héctor AlfredoOchoa, Marien I.Jiang, ShudongHasan, TayyabaDoyley, Marvin M.Pogue, Brian W.TissuesFluorescenceDepth SensingFIber OpticsKineticsCancerhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Significance: Fluorescence sensing within tissue is an effective tool for tissue characterization; however, the modality and geometry of the image acquisition can alter the observed signal.Aim: We introduce a novel optical fiber-based system capable of measuring two fluorescent contrast agents through 2 cm of tissue with simple passive electronic switching between the excitation light, simultaneously acquiring fluorescence and excitation data. The goal was to quantify indocyanine green (ICG) and protoporphyrin IX (PpIX) within tissue, and the sampling method was compared with wide-field surface imaging to contrast the value of deep sensing versus surface imaging.Approach: This was achieved by choosing filters for specific wavelengths that were mutually exclusive between ICG and PpIX and coupling these filters to two separate detectors, which allows for direct swapping of the excitation and emission channels by switching the on-time of each excitation laser between 780- and 633-nm wavelengths.Results: This system was compared with two non-contact surface imaging systems for both ICG and PpIX, which revealed that the fluorescence depth sensing system was superior in its ability to resolve kinetics differences in deeper tissues that would normally be dominated by strong signals from skin and other surface tissues. Specifically, the system was tested using pancreatic adenocarcinoma tumors injected into murine models, which were imaged at several time points throughout tumor growth to its ∼6-mm diameter. This demonstrated the system’s capability to track longitudinal changes in ICG and PpIX kinetics that result from tumor growth and development, with larger tumors showing sluggish uptake and clearance of ICG, which was not observable with surface imaging. Similarly, PpIX was quantified, which showed slower kinetics over different time points, and was further compared with the wide-filed imager. These results were further validated through depth measurements in tissue phantoms and model-based interpretation.Conclusion: This fluorescence depth sensing system can be used to sample the interior blood flow characteristics by ICG sensing of tissue as deep as 20 mm into the tissue with sensitivity to kinetics that are superior to surface imaging and may be combined with other imaging modalities such as ultrasound to provide guided deep fluorescence measurements.Fil: Kulkarni, Madhusudan B.. University of Wisconsin; Estados UnidosFil: Reed, Matthew S.. University of Wisconsin; Estados UnidosFil: Cao, Xu. University of Wisconsin; Estados UnidosFil: García, Héctor Alfredo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina. University of Wisconsin; Estados UnidosFil: Ochoa, Marien I.. University of Wisconsin; Estados UnidosFil: Jiang, Shudong. Dartmouth College; Estados UnidosFil: Hasan, Tayyaba. Harvard Medical School; Estados UnidosFil: Doyley, Marvin M.. Rochester Institute of Technology; Estados UnidosFil: Pogue, Brian W.. University of Wisconsin; Estados Unidos. Dartmouth College; Estados UnidosSociety of Photo-Optical Instrumentation Engineers2024-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/261261Kulkarni, Madhusudan B.; Reed, Matthew S.; Cao, Xu; García, Héctor Alfredo; Ochoa, Marien I.; et al.; Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors; Society of Photo-Optical Instrumentation Engineers; Journal Of Biomedical Optics; 30; S1; 11-2024; 1-161083-3668CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-30/issue-S1/S13709/Combined-dual-channel-fluorescence-depth-sensing-of-indocyanine-green-and/10.1117/1.JBO.30.S1.S13709.fullinfo:eu-repo/semantics/altIdentifier/doi/10.1117/1.JBO.30.S1.S13709info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:48:45Zoai:ri.conicet.gov.ar:11336/261261instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:48:45.443CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors |
title |
Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors |
spellingShingle |
Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors Kulkarni, Madhusudan B. Tissues Fluorescence Depth Sensing FIber Optics Kinetics Cancer |
title_short |
Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors |
title_full |
Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors |
title_fullStr |
Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors |
title_full_unstemmed |
Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors |
title_sort |
Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors |
dc.creator.none.fl_str_mv |
Kulkarni, Madhusudan B. Reed, Matthew S. Cao, Xu García, Héctor Alfredo Ochoa, Marien I. Jiang, Shudong Hasan, Tayyaba Doyley, Marvin M. Pogue, Brian W. |
author |
Kulkarni, Madhusudan B. |
author_facet |
Kulkarni, Madhusudan B. Reed, Matthew S. Cao, Xu García, Héctor Alfredo Ochoa, Marien I. Jiang, Shudong Hasan, Tayyaba Doyley, Marvin M. Pogue, Brian W. |
author_role |
author |
author2 |
Reed, Matthew S. Cao, Xu García, Héctor Alfredo Ochoa, Marien I. Jiang, Shudong Hasan, Tayyaba Doyley, Marvin M. Pogue, Brian W. |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
Tissues Fluorescence Depth Sensing FIber Optics Kinetics Cancer |
topic |
Tissues Fluorescence Depth Sensing FIber Optics Kinetics Cancer |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Significance: Fluorescence sensing within tissue is an effective tool for tissue characterization; however, the modality and geometry of the image acquisition can alter the observed signal.Aim: We introduce a novel optical fiber-based system capable of measuring two fluorescent contrast agents through 2 cm of tissue with simple passive electronic switching between the excitation light, simultaneously acquiring fluorescence and excitation data. The goal was to quantify indocyanine green (ICG) and protoporphyrin IX (PpIX) within tissue, and the sampling method was compared with wide-field surface imaging to contrast the value of deep sensing versus surface imaging.Approach: This was achieved by choosing filters for specific wavelengths that were mutually exclusive between ICG and PpIX and coupling these filters to two separate detectors, which allows for direct swapping of the excitation and emission channels by switching the on-time of each excitation laser between 780- and 633-nm wavelengths.Results: This system was compared with two non-contact surface imaging systems for both ICG and PpIX, which revealed that the fluorescence depth sensing system was superior in its ability to resolve kinetics differences in deeper tissues that would normally be dominated by strong signals from skin and other surface tissues. Specifically, the system was tested using pancreatic adenocarcinoma tumors injected into murine models, which were imaged at several time points throughout tumor growth to its ∼6-mm diameter. This demonstrated the system’s capability to track longitudinal changes in ICG and PpIX kinetics that result from tumor growth and development, with larger tumors showing sluggish uptake and clearance of ICG, which was not observable with surface imaging. Similarly, PpIX was quantified, which showed slower kinetics over different time points, and was further compared with the wide-filed imager. These results were further validated through depth measurements in tissue phantoms and model-based interpretation.Conclusion: This fluorescence depth sensing system can be used to sample the interior blood flow characteristics by ICG sensing of tissue as deep as 20 mm into the tissue with sensitivity to kinetics that are superior to surface imaging and may be combined with other imaging modalities such as ultrasound to provide guided deep fluorescence measurements. Fil: Kulkarni, Madhusudan B.. University of Wisconsin; Estados Unidos Fil: Reed, Matthew S.. University of Wisconsin; Estados Unidos Fil: Cao, Xu. University of Wisconsin; Estados Unidos Fil: García, Héctor Alfredo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina. University of Wisconsin; Estados Unidos Fil: Ochoa, Marien I.. University of Wisconsin; Estados Unidos Fil: Jiang, Shudong. Dartmouth College; Estados Unidos Fil: Hasan, Tayyaba. Harvard Medical School; Estados Unidos Fil: Doyley, Marvin M.. Rochester Institute of Technology; Estados Unidos Fil: Pogue, Brian W.. University of Wisconsin; Estados Unidos. Dartmouth College; Estados Unidos |
description |
Significance: Fluorescence sensing within tissue is an effective tool for tissue characterization; however, the modality and geometry of the image acquisition can alter the observed signal.Aim: We introduce a novel optical fiber-based system capable of measuring two fluorescent contrast agents through 2 cm of tissue with simple passive electronic switching between the excitation light, simultaneously acquiring fluorescence and excitation data. The goal was to quantify indocyanine green (ICG) and protoporphyrin IX (PpIX) within tissue, and the sampling method was compared with wide-field surface imaging to contrast the value of deep sensing versus surface imaging.Approach: This was achieved by choosing filters for specific wavelengths that were mutually exclusive between ICG and PpIX and coupling these filters to two separate detectors, which allows for direct swapping of the excitation and emission channels by switching the on-time of each excitation laser between 780- and 633-nm wavelengths.Results: This system was compared with two non-contact surface imaging systems for both ICG and PpIX, which revealed that the fluorescence depth sensing system was superior in its ability to resolve kinetics differences in deeper tissues that would normally be dominated by strong signals from skin and other surface tissues. Specifically, the system was tested using pancreatic adenocarcinoma tumors injected into murine models, which were imaged at several time points throughout tumor growth to its ∼6-mm diameter. This demonstrated the system’s capability to track longitudinal changes in ICG and PpIX kinetics that result from tumor growth and development, with larger tumors showing sluggish uptake and clearance of ICG, which was not observable with surface imaging. Similarly, PpIX was quantified, which showed slower kinetics over different time points, and was further compared with the wide-filed imager. These results were further validated through depth measurements in tissue phantoms and model-based interpretation.Conclusion: This fluorescence depth sensing system can be used to sample the interior blood flow characteristics by ICG sensing of tissue as deep as 20 mm into the tissue with sensitivity to kinetics that are superior to surface imaging and may be combined with other imaging modalities such as ultrasound to provide guided deep fluorescence measurements. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/261261 Kulkarni, Madhusudan B.; Reed, Matthew S.; Cao, Xu; García, Héctor Alfredo; Ochoa, Marien I.; et al.; Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors; Society of Photo-Optical Instrumentation Engineers; Journal Of Biomedical Optics; 30; S1; 11-2024; 1-16 1083-3668 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/261261 |
identifier_str_mv |
Kulkarni, Madhusudan B.; Reed, Matthew S.; Cao, Xu; García, Héctor Alfredo; Ochoa, Marien I.; et al.; Combined dual-channel fluorescence depth sensing of indocyanine green and protoporphyrin IX kinetics in subcutaneous murine tumors; Society of Photo-Optical Instrumentation Engineers; Journal Of Biomedical Optics; 30; S1; 11-2024; 1-16 1083-3668 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-30/issue-S1/S13709/Combined-dual-channel-fluorescence-depth-sensing-of-indocyanine-green-and/10.1117/1.JBO.30.S1.S13709.full info:eu-repo/semantics/altIdentifier/doi/10.1117/1.JBO.30.S1.S13709 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Society of Photo-Optical Instrumentation Engineers |
publisher.none.fl_str_mv |
Society of Photo-Optical Instrumentation Engineers |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613512403353600 |
score |
13.070432 |