Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples
Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2022-10, Vol.119 (40), p.1-8 |
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creator | Chen, Shan Su, Yu-Wen Sun, Junjie Chen, Tingting Zheng, Yuhao Sui, Lin-Jie Yang, Shuangli Liu, Chenbin Wang, Pengcheng Li, Tengfei Chi, Qinghua Sun, Hao Chen, Jinghu Xu, Bo-Qun Huang, Zongxiong Fang, Yimin |
description | Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ a label-free single-particle imaging approach to address this challenge. By tracking the scattering intensity variation of single particles in free solution, the morphological heterogeneity can be well identified with particle size smaller than the diffraction limit, facilitating the morphological identification of single bacteria from a complex matrix in a label-free manner. Furthermore, the manipulation of convection in free solution enables the rapid screening of low-abundance bacteria in a small field of view, which significantly improves the sensitivity of single-particle detection. As a proof of concept demonstration, we are able to differentiate the group B streptococci (GBS)—positive samples within 10 min from vaginal swabs without using any biological reagents. This is the most rapid and low-cost method to the best of our knowledge. We believe that such a single-particle imaging approach will find wider applications in clinical diagnosis and disease control due to its high sensitivity, rapidity, simplicity, and low cost. |
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However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ a label-free single-particle imaging approach to address this challenge. By tracking the scattering intensity variation of single particles in free solution, the morphological heterogeneity can be well identified with particle size smaller than the diffraction limit, facilitating the morphological identification of single bacteria from a complex matrix in a label-free manner. Furthermore, the manipulation of convection in free solution enables the rapid screening of low-abundance bacteria in a small field of view, which significantly improves the sensitivity of single-particle detection. As a proof of concept demonstration, we are able to differentiate the group B streptococci (GBS)—positive samples within 10 min from vaginal swabs without using any biological reagents. This is the most rapid and low-cost method to the best of our knowledge. We believe that such a single-particle imaging approach will find wider applications in clinical diagnosis and disease control due to its high sensitivity, rapidity, simplicity, and low cost.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.2206990119</identifier><identifier>PMID: 36161913</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Bacteria ; Bacteria - isolation & purification ; Bacteria - pathogenicity ; Biological Sciences ; Communicable Diseases - diagnostic imaging ; Convection ; Disease control ; Female ; Heterogeneity ; Humans ; Infectious diseases ; Low cost ; Medical imaging ; Morphology ; Particle Size ; Physical Sciences ; Reagents ; Sensitivity ; Single-Cell Analysis - methods ; Vaginal Smears</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2022-10, Vol.119 (40), p.1-8</ispartof><rights>Copyright © 2022 the Author(s)</rights><rights>Copyright National Academy of Sciences Oct 4, 2022</rights><rights>Copyright © 2022 the Author(s). Published by PNAS. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-70bb8445a015048d3dec24f66af203d3b35e61e3a9717514953345d6cd57d7e73</citedby><cites>FETCH-LOGICAL-c443t-70bb8445a015048d3dec24f66af203d3b35e61e3a9717514953345d6cd57d7e73</cites><orcidid>0000-0002-2735-6782</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546574/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546574/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36161913$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Shan</creatorcontrib><creatorcontrib>Su, Yu-Wen</creatorcontrib><creatorcontrib>Sun, Junjie</creatorcontrib><creatorcontrib>Chen, Tingting</creatorcontrib><creatorcontrib>Zheng, Yuhao</creatorcontrib><creatorcontrib>Sui, Lin-Jie</creatorcontrib><creatorcontrib>Yang, Shuangli</creatorcontrib><creatorcontrib>Liu, Chenbin</creatorcontrib><creatorcontrib>Wang, Pengcheng</creatorcontrib><creatorcontrib>Li, Tengfei</creatorcontrib><creatorcontrib>Chi, Qinghua</creatorcontrib><creatorcontrib>Sun, Hao</creatorcontrib><creatorcontrib>Chen, Jinghu</creatorcontrib><creatorcontrib>Xu, Bo-Qun</creatorcontrib><creatorcontrib>Huang, Zongxiong</creatorcontrib><creatorcontrib>Fang, Yimin</creatorcontrib><title>Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ a label-free single-particle imaging approach to address this challenge. By tracking the scattering intensity variation of single particles in free solution, the morphological heterogeneity can be well identified with particle size smaller than the diffraction limit, facilitating the morphological identification of single bacteria from a complex matrix in a label-free manner. Furthermore, the manipulation of convection in free solution enables the rapid screening of low-abundance bacteria in a small field of view, which significantly improves the sensitivity of single-particle detection. As a proof of concept demonstration, we are able to differentiate the group B streptococci (GBS)—positive samples within 10 min from vaginal swabs without using any biological reagents. This is the most rapid and low-cost method to the best of our knowledge. We believe that such a single-particle imaging approach will find wider applications in clinical diagnosis and disease control due to its high sensitivity, rapidity, simplicity, and low cost.</description><subject>Bacteria</subject><subject>Bacteria - isolation & purification</subject><subject>Bacteria - pathogenicity</subject><subject>Biological Sciences</subject><subject>Communicable Diseases - diagnostic imaging</subject><subject>Convection</subject><subject>Disease control</subject><subject>Female</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Low cost</subject><subject>Medical imaging</subject><subject>Morphology</subject><subject>Particle Size</subject><subject>Physical Sciences</subject><subject>Reagents</subject><subject>Sensitivity</subject><subject>Single-Cell Analysis - methods</subject><subject>Vaginal Smears</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkcuLFDEQxoMo7rh69qQEvOyld5POq3MRlsUXDHjRc0inq2cyZDoxSS_435tl1vFxKqj65av68iH0mpJrShS7SYst131PpNaEUv0EbSjRtJNck6doQ0ivuoH3_AK9KOVACNFiIM_RBZNUUk3ZBqWtHSF0cwbAxS-7AF2yuXoXAPuj3bUWtinlaN0ezzHjNdRsu2yTn_AEFVz1ccFxxsnWfdzB4h0erauQvcV-wS741rIBF3tMAcpL9Gy2ocCrx3qJvn_88O3uc7f9-unL3e22c5yz2ikyjgPnwhIqCB8mNoHr-SylnXvCJjYyAZICs1pRJSjXgjEuJukmoSYFil2i9yfdtI5HmBws7e5gUm6u8k8TrTf_Tha_N7t4b7TgUijeBK4eBXL8sUKp5uiLgxDsAnEtpld0kJy2b2_ou__QQ1zz0uw1qqeqUQNr1M2JcjmWkmE-H0OJeUjTPKRp_qTZXrz928OZ_x1fA96cgEOpMZ_nbSlpsTP2C-QDpkc</recordid><startdate>20221004</startdate><enddate>20221004</enddate><creator>Chen, Shan</creator><creator>Su, Yu-Wen</creator><creator>Sun, Junjie</creator><creator>Chen, Tingting</creator><creator>Zheng, Yuhao</creator><creator>Sui, Lin-Jie</creator><creator>Yang, Shuangli</creator><creator>Liu, Chenbin</creator><creator>Wang, Pengcheng</creator><creator>Li, Tengfei</creator><creator>Chi, Qinghua</creator><creator>Sun, Hao</creator><creator>Chen, Jinghu</creator><creator>Xu, Bo-Qun</creator><creator>Huang, Zongxiong</creator><creator>Fang, Yimin</creator><general>National Academy of Sciences</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-2735-6782</orcidid></search><sort><creationdate>20221004</creationdate><title>Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples</title><author>Chen, Shan ; 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However, rapid detection of pathogenic bacteria in clinical samples is quite a challenging task due to the complex matrix, as well as the low abundance of bacteria in real samples. Herein, we employ a label-free single-particle imaging approach to address this challenge. By tracking the scattering intensity variation of single particles in free solution, the morphological heterogeneity can be well identified with particle size smaller than the diffraction limit, facilitating the morphological identification of single bacteria from a complex matrix in a label-free manner. Furthermore, the manipulation of convection in free solution enables the rapid screening of low-abundance bacteria in a small field of view, which significantly improves the sensitivity of single-particle detection. As a proof of concept demonstration, we are able to differentiate the group B streptococci (GBS)—positive samples within 10 min from vaginal swabs without using any biological reagents. This is the most rapid and low-cost method to the best of our knowledge. We believe that such a single-particle imaging approach will find wider applications in clinical diagnosis and disease control due to its high sensitivity, rapidity, simplicity, and low cost.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>36161913</pmid><doi>10.1073/pnas.2206990119</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-2735-6782</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bacteria Bacteria - isolation & purification Bacteria - pathogenicity Biological Sciences Communicable Diseases - diagnostic imaging Convection Disease control Female Heterogeneity Humans Infectious diseases Low cost Medical imaging Morphology Particle Size Physical Sciences Reagents Sensitivity Single-Cell Analysis - methods Vaginal Smears |
title | Label-free single-particle imaging approach for ultra-rapid detection of pathogenic bacteria in clinical samples |
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