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Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery
SIGNIFICANCE: Fluorescently guided minimally invasive surgery is improving patient outcomes and disease-free survival, but biomarker variability hinders complete tumor resection with single molecular probes. To overcome this, we developed a bioinspired endoscopic system that images multiple tumor-ta...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213950/ https://www.ncbi.nlm.nih.gov/pubmed/37250858 http://dx.doi.org/10.1117/1.JBO.28.5.056002 |
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author | George, Mebin B. Lew, Benjamin Blair, Steven Zhu, Zhongmin Liang, Zuodong Srivastava, Indrajit Chang, Austin Choi, Hyungsoo Kim, Kyekyoon Nie, Shuming Singhal, Sunil Gruev, Viktor |
author_facet | George, Mebin B. Lew, Benjamin Blair, Steven Zhu, Zhongmin Liang, Zuodong Srivastava, Indrajit Chang, Austin Choi, Hyungsoo Kim, Kyekyoon Nie, Shuming Singhal, Sunil Gruev, Viktor |
author_sort | George, Mebin B. |
collection | PubMed |
description | SIGNIFICANCE: Fluorescently guided minimally invasive surgery is improving patient outcomes and disease-free survival, but biomarker variability hinders complete tumor resection with single molecular probes. To overcome this, we developed a bioinspired endoscopic system that images multiple tumor-targeted probes, quantifies volumetric ratios in cancer models, and detects tumors in ex vivo samples. AIM: We present a new rigid endoscopic imaging system (EIS) that can capture color images while simultaneously resolving two near-infrared (NIR) probes. APPROACH: Our optimized EIS integrates a hexa-chromatic image sensor, a rigid endoscope optimized for NIR-color imaging, and a custom illumination fiber bundle. RESULTS: Our optimized EIS achieves a 60% improvement in NIR spatial resolution when compared to a leading FDA-approved endoscope. Ratio-metric imaging of two tumor-targeted probes is demonstrated in vials and animal models of breast cancer. Clinical data gathered from fluorescently tagged lung cancer samples on the operating room’s back table demonstrate a high tumor-to-background ratio and consistency with the vial experiments. CONCLUSIONS: We investigate key engineering breakthroughs for the single-chip endoscopic system, which can capture and distinguish numerous tumor-targeting fluorophores. As the molecular imaging field shifts toward a multi-tumor targeted probe methodology, our imaging instrument can aid in assessing these concepts during surgical procedures. |
format | Online Article Text |
id | pubmed-10213950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-102139502023-05-27 Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery George, Mebin B. Lew, Benjamin Blair, Steven Zhu, Zhongmin Liang, Zuodong Srivastava, Indrajit Chang, Austin Choi, Hyungsoo Kim, Kyekyoon Nie, Shuming Singhal, Sunil Gruev, Viktor J Biomed Opt Imaging SIGNIFICANCE: Fluorescently guided minimally invasive surgery is improving patient outcomes and disease-free survival, but biomarker variability hinders complete tumor resection with single molecular probes. To overcome this, we developed a bioinspired endoscopic system that images multiple tumor-targeted probes, quantifies volumetric ratios in cancer models, and detects tumors in ex vivo samples. AIM: We present a new rigid endoscopic imaging system (EIS) that can capture color images while simultaneously resolving two near-infrared (NIR) probes. APPROACH: Our optimized EIS integrates a hexa-chromatic image sensor, a rigid endoscope optimized for NIR-color imaging, and a custom illumination fiber bundle. RESULTS: Our optimized EIS achieves a 60% improvement in NIR spatial resolution when compared to a leading FDA-approved endoscope. Ratio-metric imaging of two tumor-targeted probes is demonstrated in vials and animal models of breast cancer. Clinical data gathered from fluorescently tagged lung cancer samples on the operating room’s back table demonstrate a high tumor-to-background ratio and consistency with the vial experiments. CONCLUSIONS: We investigate key engineering breakthroughs for the single-chip endoscopic system, which can capture and distinguish numerous tumor-targeting fluorophores. As the molecular imaging field shifts toward a multi-tumor targeted probe methodology, our imaging instrument can aid in assessing these concepts during surgical procedures. Society of Photo-Optical Instrumentation Engineers 2023-05-26 2023-05 /pmc/articles/PMC10213950/ /pubmed/37250858 http://dx.doi.org/10.1117/1.JBO.28.5.056002 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Imaging George, Mebin B. Lew, Benjamin Blair, Steven Zhu, Zhongmin Liang, Zuodong Srivastava, Indrajit Chang, Austin Choi, Hyungsoo Kim, Kyekyoon Nie, Shuming Singhal, Sunil Gruev, Viktor Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery |
title | Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery |
title_full | Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery |
title_fullStr | Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery |
title_full_unstemmed | Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery |
title_short | Bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery |
title_sort | bioinspired color-near infrared endoscopic imaging system for molecular guided cancer surgery |
topic | Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213950/ https://www.ncbi.nlm.nih.gov/pubmed/37250858 http://dx.doi.org/10.1117/1.JBO.28.5.056002 |
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