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Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment
Label‐free nonlinear optical imaging (NLOI) has made tremendous inroads toward unscrambling the microcosmic complexity of cancers. However, harmonic and Raman microscopy offers throughput without redox information to reveal metabolic differentiation, and fluorescence lifetime microscopy lacks the vi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844469/ https://www.ncbi.nlm.nih.gov/pubmed/34927370 http://dx.doi.org/10.1002/advs.202104379 |
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author | Li, Yanping Shen, Binglin Zou, Gengjin Hu, Rui Pan, Ying Qu, Junle Liu, Liwei |
author_facet | Li, Yanping Shen, Binglin Zou, Gengjin Hu, Rui Pan, Ying Qu, Junle Liu, Liwei |
author_sort | Li, Yanping |
collection | PubMed |
description | Label‐free nonlinear optical imaging (NLOI) has made tremendous inroads toward unscrambling the microcosmic complexity of cancers. However, harmonic and Raman microscopy offers throughput without redox information to reveal metabolic differentiation, and fluorescence lifetime microscopy lacks the vibrational response of molecules to visualize specific molecular constituents such as lipid. Here, a flexible, robust simultaneous multi‐nonlinear imaging and cross‐modality system that combines complementary imaging contrast mechanisms is demonstrated. This system, utilizing multiplexed ultrashort pulses, ingeniously integrates typical nonlinear processes, and high‐dimension lifetime extension in a single setup to enhance the imaging dimensions and quality. Using this system, the authors perform label‐free comprehensive evaluation of clinicopathological tissues of ovarian carcinoma due to its statistical complexity. The results show that the technology provides statistically rich, insightful information with high accuracy, sensitivity, and specificity, in contrast to standard histopathology, and can potentially be a powerful tool for fundamental cancer research and clinical applications. |
format | Online Article Text |
id | pubmed-8844469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88444692022-02-24 Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment Li, Yanping Shen, Binglin Zou, Gengjin Hu, Rui Pan, Ying Qu, Junle Liu, Liwei Adv Sci (Weinh) Research Articles Label‐free nonlinear optical imaging (NLOI) has made tremendous inroads toward unscrambling the microcosmic complexity of cancers. However, harmonic and Raman microscopy offers throughput without redox information to reveal metabolic differentiation, and fluorescence lifetime microscopy lacks the vibrational response of molecules to visualize specific molecular constituents such as lipid. Here, a flexible, robust simultaneous multi‐nonlinear imaging and cross‐modality system that combines complementary imaging contrast mechanisms is demonstrated. This system, utilizing multiplexed ultrashort pulses, ingeniously integrates typical nonlinear processes, and high‐dimension lifetime extension in a single setup to enhance the imaging dimensions and quality. Using this system, the authors perform label‐free comprehensive evaluation of clinicopathological tissues of ovarian carcinoma due to its statistical complexity. The results show that the technology provides statistically rich, insightful information with high accuracy, sensitivity, and specificity, in contrast to standard histopathology, and can potentially be a powerful tool for fundamental cancer research and clinical applications. John Wiley and Sons Inc. 2021-12-19 /pmc/articles/PMC8844469/ /pubmed/34927370 http://dx.doi.org/10.1002/advs.202104379 Text en © 2021 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Li, Yanping Shen, Binglin Zou, Gengjin Hu, Rui Pan, Ying Qu, Junle Liu, Liwei Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment |
title | Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment |
title_full | Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment |
title_fullStr | Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment |
title_full_unstemmed | Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment |
title_short | Super‐Multiplex Nonlinear Optical Imaging Unscrambles the Statistical Complexity of Cancer Subtypes and Tumor Microenvironment |
title_sort | super‐multiplex nonlinear optical imaging unscrambles the statistical complexity of cancer subtypes and tumor microenvironment |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844469/ https://www.ncbi.nlm.nih.gov/pubmed/34927370 http://dx.doi.org/10.1002/advs.202104379 |
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