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Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond

Histological imaging is essential for the biomedical research and clinical diagnosis of human cancer. Although optical microscopy provides a standard method, it is a persistent goal to develop new imaging methods for more precise histological examination. Here, we use nitrogen-vacancy centers in dia...

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Autores principales: Chen, Sanyou, Li, Wanhe, Zheng, Xiaohu, Yu, Pei, Wang, Pengfei, Sun, Ziting, Xu, Yao, Jiao, Defeng, Ye, Xiangyu, Cai, Mingcheng, Shen, Mengze, Wang, Mengqi, Zhang, Qi, Kong, Fei, Wang, Ya, He, Jie, Wei, Haiming, Shi, Fazhan, Du, Jiangfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812536/
https://www.ncbi.nlm.nih.gov/pubmed/35082154
http://dx.doi.org/10.1073/pnas.2118876119
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author Chen, Sanyou
Li, Wanhe
Zheng, Xiaohu
Yu, Pei
Wang, Pengfei
Sun, Ziting
Xu, Yao
Jiao, Defeng
Ye, Xiangyu
Cai, Mingcheng
Shen, Mengze
Wang, Mengqi
Zhang, Qi
Kong, Fei
Wang, Ya
He, Jie
Wei, Haiming
Shi, Fazhan
Du, Jiangfeng
author_facet Chen, Sanyou
Li, Wanhe
Zheng, Xiaohu
Yu, Pei
Wang, Pengfei
Sun, Ziting
Xu, Yao
Jiao, Defeng
Ye, Xiangyu
Cai, Mingcheng
Shen, Mengze
Wang, Mengqi
Zhang, Qi
Kong, Fei
Wang, Ya
He, Jie
Wei, Haiming
Shi, Fazhan
Du, Jiangfeng
author_sort Chen, Sanyou
collection PubMed
description Histological imaging is essential for the biomedical research and clinical diagnosis of human cancer. Although optical microscopy provides a standard method, it is a persistent goal to develop new imaging methods for more precise histological examination. Here, we use nitrogen-vacancy centers in diamond as quantum sensors and demonstrate micrometer-resolution immunomagnetic microscopy (IMM) for human tumor tissues. We immunomagnetically labeled cancer biomarkers in tumor tissues with magnetic nanoparticles and imaged them in a 400-nm resolution diamond-based magnetic microscope. There is barely magnetic background in tissues, and the IMM can resist the impact of a light background. The distribution of biomarkers in the high-contrast magnetic images was reconstructed as that of the magnetic moment of magnetic nanoparticles by employing deep-learning algorithms. In the reconstructed magnetic images, the expression intensity of the biomarkers was quantified with the absolute magnetic signal. The IMM has excellent signal stability, and the magnetic signal in our samples had not changed after more than 1.5 y under ambient conditions. Furthermore, we realized multimodal imaging of tumor tissues by combining IMM with hematoxylin-eosin staining, immunohistochemistry, or immunofluorescence microscopy in the same tissue section. Overall, our study provides a different histological method for both molecular mechanism research and accurate diagnosis of human cancer.
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spelling pubmed-88125362022-02-16 Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond Chen, Sanyou Li, Wanhe Zheng, Xiaohu Yu, Pei Wang, Pengfei Sun, Ziting Xu, Yao Jiao, Defeng Ye, Xiangyu Cai, Mingcheng Shen, Mengze Wang, Mengqi Zhang, Qi Kong, Fei Wang, Ya He, Jie Wei, Haiming Shi, Fazhan Du, Jiangfeng Proc Natl Acad Sci U S A Biological Sciences Histological imaging is essential for the biomedical research and clinical diagnosis of human cancer. Although optical microscopy provides a standard method, it is a persistent goal to develop new imaging methods for more precise histological examination. Here, we use nitrogen-vacancy centers in diamond as quantum sensors and demonstrate micrometer-resolution immunomagnetic microscopy (IMM) for human tumor tissues. We immunomagnetically labeled cancer biomarkers in tumor tissues with magnetic nanoparticles and imaged them in a 400-nm resolution diamond-based magnetic microscope. There is barely magnetic background in tissues, and the IMM can resist the impact of a light background. The distribution of biomarkers in the high-contrast magnetic images was reconstructed as that of the magnetic moment of magnetic nanoparticles by employing deep-learning algorithms. In the reconstructed magnetic images, the expression intensity of the biomarkers was quantified with the absolute magnetic signal. The IMM has excellent signal stability, and the magnetic signal in our samples had not changed after more than 1.5 y under ambient conditions. Furthermore, we realized multimodal imaging of tumor tissues by combining IMM with hematoxylin-eosin staining, immunohistochemistry, or immunofluorescence microscopy in the same tissue section. Overall, our study provides a different histological method for both molecular mechanism research and accurate diagnosis of human cancer. National Academy of Sciences 2022-01-26 2022-02-01 /pmc/articles/PMC8812536/ /pubmed/35082154 http://dx.doi.org/10.1073/pnas.2118876119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Chen, Sanyou
Li, Wanhe
Zheng, Xiaohu
Yu, Pei
Wang, Pengfei
Sun, Ziting
Xu, Yao
Jiao, Defeng
Ye, Xiangyu
Cai, Mingcheng
Shen, Mengze
Wang, Mengqi
Zhang, Qi
Kong, Fei
Wang, Ya
He, Jie
Wei, Haiming
Shi, Fazhan
Du, Jiangfeng
Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond
title Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond
title_full Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond
title_fullStr Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond
title_full_unstemmed Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond
title_short Immunomagnetic microscopy of tumor tissues using quantum sensors in diamond
title_sort immunomagnetic microscopy of tumor tissues using quantum sensors in diamond
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812536/
https://www.ncbi.nlm.nih.gov/pubmed/35082154
http://dx.doi.org/10.1073/pnas.2118876119
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