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Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi
A method based on a dual-type (transmission and fluorescence) hyperspectral microscopic image system was developed to identify species of intestinal fungi. Living fungi are difficult to identify via transmission spectra or fluorescence spectra alone. We propose an identification method based on both...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157763/ https://www.ncbi.nlm.nih.gov/pubmed/30615713 http://dx.doi.org/10.1364/BOE.9.004496 |
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author | Lin, Sifan Bi, Xiaolin Zhu, Siqi Yin, Hao Li, Zhen Chen, Chenqiang |
author_facet | Lin, Sifan Bi, Xiaolin Zhu, Siqi Yin, Hao Li, Zhen Chen, Chenqiang |
author_sort | Lin, Sifan |
collection | PubMed |
description | A method based on a dual-type (transmission and fluorescence) hyperspectral microscopic image system was developed to identify species of intestinal fungi. Living fungi are difficult to identify via transmission spectra or fluorescence spectra alone. We propose an identification method based on both fluorescence and transmission spectra that employs a series of image processing methods. Three species of intestinal fungi were used to evaluate the method. The results demonstrate that the specificity of the model trained with dual-type spectra was 98.36%, whereas the specificities achieved by training with fluorescence spectra and transmission spectra alone were 94.04% and 92.88%, respectively. |
format | Online Article Text |
id | pubmed-6157763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-61577632018-09-27 Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi Lin, Sifan Bi, Xiaolin Zhu, Siqi Yin, Hao Li, Zhen Chen, Chenqiang Biomed Opt Express Article A method based on a dual-type (transmission and fluorescence) hyperspectral microscopic image system was developed to identify species of intestinal fungi. Living fungi are difficult to identify via transmission spectra or fluorescence spectra alone. We propose an identification method based on both fluorescence and transmission spectra that employs a series of image processing methods. Three species of intestinal fungi were used to evaluate the method. The results demonstrate that the specificity of the model trained with dual-type spectra was 98.36%, whereas the specificities achieved by training with fluorescence spectra and transmission spectra alone were 94.04% and 92.88%, respectively. Optical Society of America 2018-08-27 /pmc/articles/PMC6157763/ /pubmed/30615713 http://dx.doi.org/10.1364/BOE.9.004496 Text en © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement (https://doi.org/10.1364/OA_License_v1) |
spellingShingle | Article Lin, Sifan Bi, Xiaolin Zhu, Siqi Yin, Hao Li, Zhen Chen, Chenqiang Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi |
title | Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi |
title_full | Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi |
title_fullStr | Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi |
title_full_unstemmed | Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi |
title_short | Dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi |
title_sort | dual-type hyperspectral microscopic imaging for the identification and analysis of intestinal fungi |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157763/ https://www.ncbi.nlm.nih.gov/pubmed/30615713 http://dx.doi.org/10.1364/BOE.9.004496 |
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