Analyzing Microbial Population Heterogeneity—Expanding the Toolbox of Microfluidic Single-Cell Cultivations
Recent research on population heterogeneity revealed fascinating insights into microbial behavior. In particular emerging single-cell technologies, image-based microfluidics lab-on-chip systems generate insights with spatio-temporal resolution, which are inaccessible with conventional tools. This re...
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Veröffentlicht in: | Journal of molecular biology 2019-11, Vol.431 (23), p.4569-4588 |
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creator | Leygeber, Markus Lindemann, Dorina Sachs, Christian Carsten Kaganovitch, Eugen Wiechert, Wolfgang Nöh, Katharina Kohlheyer, Dietrich |
description | Recent research on population heterogeneity revealed fascinating insights into microbial behavior. In particular emerging single-cell technologies, image-based microfluidics lab-on-chip systems generate insights with spatio-temporal resolution, which are inaccessible with conventional tools. This review reports recent developments and applications of microfluidic single-cell cultivation technology, highlighting fields of broad interest such as growth, gene expression and antibiotic resistance and susceptibility. Combining advanced microfluidic single-cell cultivation technology for environmental control with automated time-lapse imaging as well as smart computational image analysis offers tremendous potential for novel investigation at the single-cell level. We propose on-chip control of parameters like temperature, gas supply, pressure or a change in cultivation mode providing a versatile technology platform to mimic more complex and natural habitats. Digital analysis of the acquired images is a requirement for the extraction of biological knowledge and statistically reliable results demand for robust and automated solutions. Focusing on microbial cultivations, we compare prominent software systems that emerged during the last decade, discussing their applicability, opportunities and limitations. Next-generation microfluidic devices with a high degree of environmental control combined with time-lapse imaging and automated image analysis will be highly inspiring and beneficial for fruitful interdisciplinary cooperation between microbiologists and microfluidic engineers and image analysts in the field of microbial single-cell analysis.
[Display omitted]
•Recent studies on microbial phenotypic heterogeneity applying microfluidic single-cell cultivations and image analysis.•On-chip environmental control offers tremendous potential to mimic dynamic and complex habitats.•Prominent image analysis tools are evaluated and discussed. |
doi_str_mv | 10.1016/j.jmb.2019.04.025 |
format | Article |
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[Display omitted]
•Recent studies on microbial phenotypic heterogeneity applying microfluidic single-cell cultivations and image analysis.•On-chip environmental control offers tremendous potential to mimic dynamic and complex habitats.•Prominent image analysis tools are evaluated and discussed.</description><identifier>ISSN: 0022-2836</identifier><identifier>EISSN: 1089-8638</identifier><identifier>DOI: 10.1016/j.jmb.2019.04.025</identifier><identifier>PMID: 31034885</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>computational image analysis ; environmental control ; microbial population heterogeneity ; single-cell microfluidics ; time-lapse imaging</subject><ispartof>Journal of molecular biology, 2019-11, Vol.431 (23), p.4569-4588</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright © 2019 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-61ea3e789cdc52355bbb0dedea2f92d51ca67eede63b6d1be02cfd7eb79599263</citedby><cites>FETCH-LOGICAL-c353t-61ea3e789cdc52355bbb0dedea2f92d51ca67eede63b6d1be02cfd7eb79599263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jmb.2019.04.025$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,782,786,3552,27931,27932,46002</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31034885$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Leygeber, Markus</creatorcontrib><creatorcontrib>Lindemann, Dorina</creatorcontrib><creatorcontrib>Sachs, Christian Carsten</creatorcontrib><creatorcontrib>Kaganovitch, Eugen</creatorcontrib><creatorcontrib>Wiechert, Wolfgang</creatorcontrib><creatorcontrib>Nöh, Katharina</creatorcontrib><creatorcontrib>Kohlheyer, Dietrich</creatorcontrib><title>Analyzing Microbial Population Heterogeneity—Expanding the Toolbox of Microfluidic Single-Cell Cultivations</title><title>Journal of molecular biology</title><addtitle>J Mol Biol</addtitle><description>Recent research on population heterogeneity revealed fascinating insights into microbial behavior. In particular emerging single-cell technologies, image-based microfluidics lab-on-chip systems generate insights with spatio-temporal resolution, which are inaccessible with conventional tools. This review reports recent developments and applications of microfluidic single-cell cultivation technology, highlighting fields of broad interest such as growth, gene expression and antibiotic resistance and susceptibility. Combining advanced microfluidic single-cell cultivation technology for environmental control with automated time-lapse imaging as well as smart computational image analysis offers tremendous potential for novel investigation at the single-cell level. We propose on-chip control of parameters like temperature, gas supply, pressure or a change in cultivation mode providing a versatile technology platform to mimic more complex and natural habitats. Digital analysis of the acquired images is a requirement for the extraction of biological knowledge and statistically reliable results demand for robust and automated solutions. Focusing on microbial cultivations, we compare prominent software systems that emerged during the last decade, discussing their applicability, opportunities and limitations. Next-generation microfluidic devices with a high degree of environmental control combined with time-lapse imaging and automated image analysis will be highly inspiring and beneficial for fruitful interdisciplinary cooperation between microbiologists and microfluidic engineers and image analysts in the field of microbial single-cell analysis.
[Display omitted]
•Recent studies on microbial phenotypic heterogeneity applying microfluidic single-cell cultivations and image analysis.•On-chip environmental control offers tremendous potential to mimic dynamic and complex habitats.•Prominent image analysis tools are evaluated and discussed.</description><subject>computational image analysis</subject><subject>environmental control</subject><subject>microbial population heterogeneity</subject><subject>single-cell microfluidics</subject><subject>time-lapse imaging</subject><issn>0022-2836</issn><issn>1089-8638</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMtu1DAUhi0EotPCA3SDsmST9NgeO4lYVaPepFYgUdaWLyetR048xEnV6aoPwRPyJHg6hSWr4yN9_6_jj5BjChUFKk_W1bo3FQPaVrCsgIk3ZEGhactG8uYtWQAwVrKGywNymNIaAARfNu_JAaeQH41YkP500GH75Ie74sbbMRqvQ_EtbuagJx-H4hInHOMdDuin7e_nX2ePGz24HT7dY3EbYzDxsYjdPt2F2Ttvi-8ZCFiuMIRiNYfJP7y0pQ_kXadDwo-v84j8OD-7XV2W118vrlan16Xlgk-lpKg51k1rnRWMC2GMAYcONeta5gS1WtaYd8mNdNQgMNu5Gk3dirZlkh-Rz_vezRh_zpgm1ftk8zV6wDgnxRitly1IQTNK92g-P6URO7UZfa_HraKgdpbVWmXLamdZwVJlyznz6bV-Nj26f4m_WjPwZQ9g_uSDx1El63Gw6PyIdlIu-v_U_wFaWpE9</recordid><startdate>20191122</startdate><enddate>20191122</enddate><creator>Leygeber, Markus</creator><creator>Lindemann, Dorina</creator><creator>Sachs, Christian Carsten</creator><creator>Kaganovitch, Eugen</creator><creator>Wiechert, Wolfgang</creator><creator>Nöh, Katharina</creator><creator>Kohlheyer, Dietrich</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20191122</creationdate><title>Analyzing Microbial Population Heterogeneity—Expanding the Toolbox of Microfluidic Single-Cell Cultivations</title><author>Leygeber, Markus ; Lindemann, Dorina ; Sachs, Christian Carsten ; Kaganovitch, Eugen ; Wiechert, Wolfgang ; Nöh, Katharina ; Kohlheyer, Dietrich</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-61ea3e789cdc52355bbb0dedea2f92d51ca67eede63b6d1be02cfd7eb79599263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>computational image analysis</topic><topic>environmental control</topic><topic>microbial population heterogeneity</topic><topic>single-cell microfluidics</topic><topic>time-lapse imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leygeber, Markus</creatorcontrib><creatorcontrib>Lindemann, Dorina</creatorcontrib><creatorcontrib>Sachs, Christian Carsten</creatorcontrib><creatorcontrib>Kaganovitch, Eugen</creatorcontrib><creatorcontrib>Wiechert, Wolfgang</creatorcontrib><creatorcontrib>Nöh, Katharina</creatorcontrib><creatorcontrib>Kohlheyer, Dietrich</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of molecular biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leygeber, Markus</au><au>Lindemann, Dorina</au><au>Sachs, Christian Carsten</au><au>Kaganovitch, Eugen</au><au>Wiechert, Wolfgang</au><au>Nöh, Katharina</au><au>Kohlheyer, Dietrich</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analyzing Microbial Population Heterogeneity—Expanding the Toolbox of Microfluidic Single-Cell Cultivations</atitle><jtitle>Journal of molecular biology</jtitle><addtitle>J Mol Biol</addtitle><date>2019-11-22</date><risdate>2019</risdate><volume>431</volume><issue>23</issue><spage>4569</spage><epage>4588</epage><pages>4569-4588</pages><issn>0022-2836</issn><eissn>1089-8638</eissn><abstract>Recent research on population heterogeneity revealed fascinating insights into microbial behavior. In particular emerging single-cell technologies, image-based microfluidics lab-on-chip systems generate insights with spatio-temporal resolution, which are inaccessible with conventional tools. This review reports recent developments and applications of microfluidic single-cell cultivation technology, highlighting fields of broad interest such as growth, gene expression and antibiotic resistance and susceptibility. Combining advanced microfluidic single-cell cultivation technology for environmental control with automated time-lapse imaging as well as smart computational image analysis offers tremendous potential for novel investigation at the single-cell level. We propose on-chip control of parameters like temperature, gas supply, pressure or a change in cultivation mode providing a versatile technology platform to mimic more complex and natural habitats. Digital analysis of the acquired images is a requirement for the extraction of biological knowledge and statistically reliable results demand for robust and automated solutions. Focusing on microbial cultivations, we compare prominent software systems that emerged during the last decade, discussing their applicability, opportunities and limitations. Next-generation microfluidic devices with a high degree of environmental control combined with time-lapse imaging and automated image analysis will be highly inspiring and beneficial for fruitful interdisciplinary cooperation between microbiologists and microfluidic engineers and image analysts in the field of microbial single-cell analysis.
[Display omitted]
•Recent studies on microbial phenotypic heterogeneity applying microfluidic single-cell cultivations and image analysis.•On-chip environmental control offers tremendous potential to mimic dynamic and complex habitats.•Prominent image analysis tools are evaluated and discussed.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31034885</pmid><doi>10.1016/j.jmb.2019.04.025</doi><tpages>20</tpages></addata></record> |
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subjects | computational image analysis environmental control microbial population heterogeneity single-cell microfluidics time-lapse imaging |
title | Analyzing Microbial Population Heterogeneity—Expanding the Toolbox of Microfluidic Single-Cell Cultivations |
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