An ultrathin fiber-based fluorescent imaging probe based on hyperspectral imaging
Most fluorescent imaging systems use pre-defined filter sets with limited flexibility in the choice of excitation and emission bands and suffer from crosstalk between different fluorophores for multiplexed imaging. When implemented in the context of optical fibers for biological imaging in a remote...
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Frontiers Media S.A.
2023-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2022.1096290/full |
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author | Shuyan Zhang Jian Jun Chua Jian Jun Chua Wilbert Yao Hwee Tang Wilbert Yao Hwee Tang Joseph Yong Xin Cheng Joseph Yong Xin Cheng Xiuting Li Malini Olivo |
author_facet | Shuyan Zhang Jian Jun Chua Jian Jun Chua Wilbert Yao Hwee Tang Wilbert Yao Hwee Tang Joseph Yong Xin Cheng Joseph Yong Xin Cheng Xiuting Li Malini Olivo |
author_sort | Shuyan Zhang |
collection | DOAJ |
description | Most fluorescent imaging systems use pre-defined filter sets with limited flexibility in the choice of excitation and emission bands and suffer from crosstalk between different fluorophores for multiplexed imaging. When implemented in the context of optical fibers for biological imaging in a remote setting with space constraints, the size of the fiber probe is crucial. To overcome these challenges, we combined the merits of hyperspectral imaging and an ultrathin optical imaging fiber where fluorescent images at 311 spectral bands in the visible range were captured using a liquid crystal tunable filter with a fiber probe of 500 μm in diameter. Fluorescent experiments were performed on quantum dots mixtures and genetically modified E. coli bacteria mixtures to demonstrate the system’s capabilities for multiplexed imaging. Images were first processed using a Fourier transform filtering technique to remove the fiber core pattern artifact. Subsequently, the classification of different types of bacteria samples was calculated using two methods, namely, spectral unmixing with maximum abundance and spectral matching with minimum spectral angle distance. Finally, the spatial distributions of individual bacteria types were overlaid with the mixture image, and the two classification results matched well. A simple-to-use graphic user interface (GUI) platform for the hyperspectral imaging fiber probe system was developed which performs image processing and displays the classification results. The methods and results presented will appeal to the optical fiber-based imaging and hyperspectral imaging communities in general and have great potential for biological imaging applications. |
first_indexed | 2024-04-11T00:57:19Z |
format | Article |
id | doaj.art-1c6522da80d14c2880f9f74babde53f8 |
institution | Directory Open Access Journal |
issn | 2296-424X |
language | English |
last_indexed | 2024-04-11T00:57:19Z |
publishDate | 2023-01-01 |
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series | Frontiers in Physics |
spelling | doaj.art-1c6522da80d14c2880f9f74babde53f82023-01-04T21:11:44ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-01-011010.3389/fphy.2022.10962901096290An ultrathin fiber-based fluorescent imaging probe based on hyperspectral imagingShuyan Zhang0Jian Jun Chua1Jian Jun Chua2Wilbert Yao Hwee Tang3Wilbert Yao Hwee Tang4Joseph Yong Xin Cheng5Joseph Yong Xin Cheng6Xiuting Li7Malini Olivo8Translational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, A*STAR, Singapore, SingaporeTranslational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, A*STAR, Singapore, SingaporeDepartment of Biomedical Engineering, National University of Singapore, Singapore, SingaporeTranslational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, A*STAR, Singapore, SingaporeDepartment of Biomedical Engineering, National University of Singapore, Singapore, SingaporeTranslational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, A*STAR, Singapore, SingaporeDepartment of Biomedical Engineering, National University of Singapore, Singapore, SingaporeTranslational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, A*STAR, Singapore, SingaporeTranslational Biophotonics Laboratory, Institute of Bioengineering and Bioimaging, A*STAR, Singapore, SingaporeMost fluorescent imaging systems use pre-defined filter sets with limited flexibility in the choice of excitation and emission bands and suffer from crosstalk between different fluorophores for multiplexed imaging. When implemented in the context of optical fibers for biological imaging in a remote setting with space constraints, the size of the fiber probe is crucial. To overcome these challenges, we combined the merits of hyperspectral imaging and an ultrathin optical imaging fiber where fluorescent images at 311 spectral bands in the visible range were captured using a liquid crystal tunable filter with a fiber probe of 500 μm in diameter. Fluorescent experiments were performed on quantum dots mixtures and genetically modified E. coli bacteria mixtures to demonstrate the system’s capabilities for multiplexed imaging. Images were first processed using a Fourier transform filtering technique to remove the fiber core pattern artifact. Subsequently, the classification of different types of bacteria samples was calculated using two methods, namely, spectral unmixing with maximum abundance and spectral matching with minimum spectral angle distance. Finally, the spatial distributions of individual bacteria types were overlaid with the mixture image, and the two classification results matched well. A simple-to-use graphic user interface (GUI) platform for the hyperspectral imaging fiber probe system was developed which performs image processing and displays the classification results. The methods and results presented will appeal to the optical fiber-based imaging and hyperspectral imaging communities in general and have great potential for biological imaging applications.https://www.frontiersin.org/articles/10.3389/fphy.2022.1096290/fullfiber sensorhyperspectral imagingfluorescent imagingspectral unmixingbioimagingquantum dots |
spellingShingle | Shuyan Zhang Jian Jun Chua Jian Jun Chua Wilbert Yao Hwee Tang Wilbert Yao Hwee Tang Joseph Yong Xin Cheng Joseph Yong Xin Cheng Xiuting Li Malini Olivo An ultrathin fiber-based fluorescent imaging probe based on hyperspectral imaging Frontiers in Physics fiber sensor hyperspectral imaging fluorescent imaging spectral unmixing bioimaging quantum dots |
title | An ultrathin fiber-based fluorescent imaging probe based on hyperspectral imaging |
title_full | An ultrathin fiber-based fluorescent imaging probe based on hyperspectral imaging |
title_fullStr | An ultrathin fiber-based fluorescent imaging probe based on hyperspectral imaging |
title_full_unstemmed | An ultrathin fiber-based fluorescent imaging probe based on hyperspectral imaging |
title_short | An ultrathin fiber-based fluorescent imaging probe based on hyperspectral imaging |
title_sort | ultrathin fiber based fluorescent imaging probe based on hyperspectral imaging |
topic | fiber sensor hyperspectral imaging fluorescent imaging spectral unmixing bioimaging quantum dots |
url | https://www.frontiersin.org/articles/10.3389/fphy.2022.1096290/full |
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