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Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot

Significance: Hyperspectral microscopy has been intensively explored in biomedical applications. However, due to its huge three-dimensional hyperspectral data cube, it typically suffers from slow data acquisition, mass data transmission and storage, and computationally expensive postprocessing. Aim:...

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Autores principales: Lu, Jiao, Ren, Yuetian, Zhang, Zhuoyu, Xu, Wenbin, Cui, Xiaoyu, Chen, Shuo, Yao, Yudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254929/
https://www.ncbi.nlm.nih.gov/pubmed/32468779
http://dx.doi.org/10.1117/1.JBO.25.5.050501
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author Lu, Jiao
Ren, Yuetian
Zhang, Zhuoyu
Xu, Wenbin
Cui, Xiaoyu
Chen, Shuo
Yao, Yudong
author_facet Lu, Jiao
Ren, Yuetian
Zhang, Zhuoyu
Xu, Wenbin
Cui, Xiaoyu
Chen, Shuo
Yao, Yudong
author_sort Lu, Jiao
collection PubMed
description Significance: Hyperspectral microscopy has been intensively explored in biomedical applications. However, due to its huge three-dimensional hyperspectral data cube, it typically suffers from slow data acquisition, mass data transmission and storage, and computationally expensive postprocessing. Aim: To overcome the above limitations, a programmable hyperspectral microscopy technique was developed, which can perform hardware-based hyperspectral data postprocessing by the physical process of optical imaging in a snapshot. Approach: A programmable hyperspectral microscopy system was developed to collect coded microscopic images from samples under multiplexed illumination. Principal component analysis followed by linear discriminant analysis scheme was coded into multiplexed illumination and realized by the physical process of optical imaging. The contrast enhancement was evaluated on two representative types of microscopic samples, i.e., tissue section and cell samples. Results: Compared to the microscopic images collected under white light illumination, the contrasts of coded microscopic images were significantly improved by 41% and 59% for tissue section and cell samples, respectively. Conclusions: The proposed method can perform hyperspectral data acquisition and postprocessing simultaneously by its physical process, while preserving the most important spectral information to maximize the difference between the target and background, thus opening a new avenue for high-contrast microscopic imaging in a snapshot.
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spelling pubmed-72549292020-06-04 Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot Lu, Jiao Ren, Yuetian Zhang, Zhuoyu Xu, Wenbin Cui, Xiaoyu Chen, Shuo Yao, Yudong J Biomed Opt JBO Letters Significance: Hyperspectral microscopy has been intensively explored in biomedical applications. However, due to its huge three-dimensional hyperspectral data cube, it typically suffers from slow data acquisition, mass data transmission and storage, and computationally expensive postprocessing. Aim: To overcome the above limitations, a programmable hyperspectral microscopy technique was developed, which can perform hardware-based hyperspectral data postprocessing by the physical process of optical imaging in a snapshot. Approach: A programmable hyperspectral microscopy system was developed to collect coded microscopic images from samples under multiplexed illumination. Principal component analysis followed by linear discriminant analysis scheme was coded into multiplexed illumination and realized by the physical process of optical imaging. The contrast enhancement was evaluated on two representative types of microscopic samples, i.e., tissue section and cell samples. Results: Compared to the microscopic images collected under white light illumination, the contrasts of coded microscopic images were significantly improved by 41% and 59% for tissue section and cell samples, respectively. Conclusions: The proposed method can perform hyperspectral data acquisition and postprocessing simultaneously by its physical process, while preserving the most important spectral information to maximize the difference between the target and background, thus opening a new avenue for high-contrast microscopic imaging in a snapshot. Society of Photo-Optical Instrumentation Engineers 2020-05-28 2020-05 /pmc/articles/PMC7254929/ /pubmed/32468779 http://dx.doi.org/10.1117/1.JBO.25.5.050501 Text en © 2020 The Authors https://creativecommons.org/licenses/by/4.0/ Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle JBO Letters
Lu, Jiao
Ren, Yuetian
Zhang, Zhuoyu
Xu, Wenbin
Cui, Xiaoyu
Chen, Shuo
Yao, Yudong
Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot
title Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot
title_full Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot
title_fullStr Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot
title_full_unstemmed Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot
title_short Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot
title_sort programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot
topic JBO Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254929/
https://www.ncbi.nlm.nih.gov/pubmed/32468779
http://dx.doi.org/10.1117/1.JBO.25.5.050501
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