Morphometric Cell Classification for Single‐Cell MALDI‐Mass Spectrometry Imaging

The large‐scale and label‐free molecular characterization of single cells in their natural tissue habitat remains a major challenge in molecular biology. We present a method that integrates morphometric image analysis to delineate and classify individual cells with their single‐cell‐specific molecul...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Angewandte Chemie 2020-09, Vol.132 (40), p.17600-17603
Hauptverfasser: Ščupáková, Klára, Dewez, Frédéric, Walch, Axel K., Heeren, Ron M. A., Balluff, Benjamin
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 17603
container_issue 40
container_start_page 17600
container_title Angewandte Chemie
container_volume 132
creator Ščupáková, Klára
Dewez, Frédéric
Walch, Axel K.
Heeren, Ron M. A.
Balluff, Benjamin
description The large‐scale and label‐free molecular characterization of single cells in their natural tissue habitat remains a major challenge in molecular biology. We present a method that integrates morphometric image analysis to delineate and classify individual cells with their single‐cell‐specific molecular profiles. This approach provides a new means to study spatial biological processes such as cancer field effects and the relationship between morphometric and molecular features. Understanding how cells regulate their bioenergetic demands, adjust to the microenvironment, or respond to stimuli is the aim of molecular biology. Yet, methods able to describe the molecular content, histological identity, and spatial context of a single cell do not exist. The presented method integrates morphometric image analysis to delineate and classify individual cells with their cell‐specific molecular profiles obtained by MALDI‐MSI.
doi_str_mv 10.1002/ange.202007315
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2444280663</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2444280663</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2725-1ec8fe85e6362f92bfbab00452674c98b5b97106d03996e3ccacc7f22019ac753</originalsourceid><addsrcrecordid>eNqFkLFOwzAQhi0EEqWwMkdiTjlfYjseq1BKpRaGltlyjF1SpUmwW6FuPALPyJOQtghGptNJ3_ff6SfkmsKAAuCtrpd2gIAAIqHshPQoQxongolT0gNI0zjDVJ6TixBWAMBRyB5ZzBrfvjZru_GliXJbVVFe6RBKVxq9KZs6co2P5mW9rOzXx-cBmA2nd5NumXVcNG-t2fhDwC6arPWyQy_JmdNVsFc_s0-e70eL_CGePo0n-XAaGxTIYmpN5mzGLE84OomFK3TRPcqQi9TIrGCFFBT4CyRScpsYo40RDhGo1EawpE9ujrmtb962NmzUqtn6ujupME1TzIDzpKMGR8r4JgRvnWp9udZ-pyiofXNq35z6ba4T5FF4Lyu7-4dWw8fx6M_9BiTuc58</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2444280663</pqid></control><display><type>article</type><title>Morphometric Cell Classification for Single‐Cell MALDI‐Mass Spectrometry Imaging</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Ščupáková, Klára ; Dewez, Frédéric ; Walch, Axel K. ; Heeren, Ron M. A. ; Balluff, Benjamin</creator><creatorcontrib>Ščupáková, Klára ; Dewez, Frédéric ; Walch, Axel K. ; Heeren, Ron M. A. ; Balluff, Benjamin</creatorcontrib><description>The large‐scale and label‐free molecular characterization of single cells in their natural tissue habitat remains a major challenge in molecular biology. We present a method that integrates morphometric image analysis to delineate and classify individual cells with their single‐cell‐specific molecular profiles. This approach provides a new means to study spatial biological processes such as cancer field effects and the relationship between morphometric and molecular features. Understanding how cells regulate their bioenergetic demands, adjust to the microenvironment, or respond to stimuli is the aim of molecular biology. Yet, methods able to describe the molecular content, histological identity, and spatial context of a single cell do not exist. The presented method integrates morphometric image analysis to delineate and classify individual cells with their cell‐specific molecular profiles obtained by MALDI‐MSI.</description><identifier>ISSN: 0044-8249</identifier><identifier>EISSN: 1521-3757</identifier><identifier>DOI: 10.1002/ange.202007315</identifier><language>eng</language><publisher>Weinheim: Wiley Subscription Services, Inc</publisher><subject>Biological activity ; Chemistry ; Image analysis ; Image classification ; Image processing ; imaging ; lipids ; Mass spectrometry ; Mass spectroscopy ; Molecular biology ; morphometry ; single-cell analysis</subject><ispartof>Angewandte Chemie, 2020-09, Vol.132 (40), p.17600-17603</ispartof><rights>2020 The Authors. Published by Wiley-VCH GmbH</rights><rights>2020. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2725-1ec8fe85e6362f92bfbab00452674c98b5b97106d03996e3ccacc7f22019ac753</citedby><cites>FETCH-LOGICAL-c2725-1ec8fe85e6362f92bfbab00452674c98b5b97106d03996e3ccacc7f22019ac753</cites><orcidid>0000-0002-6533-7179</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fange.202007315$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fange.202007315$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,778,782,1414,27911,27912,45561,45562</link.rule.ids></links><search><creatorcontrib>Ščupáková, Klára</creatorcontrib><creatorcontrib>Dewez, Frédéric</creatorcontrib><creatorcontrib>Walch, Axel K.</creatorcontrib><creatorcontrib>Heeren, Ron M. A.</creatorcontrib><creatorcontrib>Balluff, Benjamin</creatorcontrib><title>Morphometric Cell Classification for Single‐Cell MALDI‐Mass Spectrometry Imaging</title><title>Angewandte Chemie</title><description>The large‐scale and label‐free molecular characterization of single cells in their natural tissue habitat remains a major challenge in molecular biology. We present a method that integrates morphometric image analysis to delineate and classify individual cells with their single‐cell‐specific molecular profiles. This approach provides a new means to study spatial biological processes such as cancer field effects and the relationship between morphometric and molecular features. Understanding how cells regulate their bioenergetic demands, adjust to the microenvironment, or respond to stimuli is the aim of molecular biology. Yet, methods able to describe the molecular content, histological identity, and spatial context of a single cell do not exist. The presented method integrates morphometric image analysis to delineate and classify individual cells with their cell‐specific molecular profiles obtained by MALDI‐MSI.</description><subject>Biological activity</subject><subject>Chemistry</subject><subject>Image analysis</subject><subject>Image classification</subject><subject>Image processing</subject><subject>imaging</subject><subject>lipids</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Molecular biology</subject><subject>morphometry</subject><subject>single-cell analysis</subject><issn>0044-8249</issn><issn>1521-3757</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNqFkLFOwzAQhi0EEqWwMkdiTjlfYjseq1BKpRaGltlyjF1SpUmwW6FuPALPyJOQtghGptNJ3_ff6SfkmsKAAuCtrpd2gIAAIqHshPQoQxongolT0gNI0zjDVJ6TixBWAMBRyB5ZzBrfvjZru_GliXJbVVFe6RBKVxq9KZs6co2P5mW9rOzXx-cBmA2nd5NumXVcNG-t2fhDwC6arPWyQy_JmdNVsFc_s0-e70eL_CGePo0n-XAaGxTIYmpN5mzGLE84OomFK3TRPcqQi9TIrGCFFBT4CyRScpsYo40RDhGo1EawpE9ujrmtb962NmzUqtn6ujupME1TzIDzpKMGR8r4JgRvnWp9udZ-pyiofXNq35z6ba4T5FF4Lyu7-4dWw8fx6M_9BiTuc58</recordid><startdate>20200928</startdate><enddate>20200928</enddate><creator>Ščupáková, Klára</creator><creator>Dewez, Frédéric</creator><creator>Walch, Axel K.</creator><creator>Heeren, Ron M. A.</creator><creator>Balluff, Benjamin</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-6533-7179</orcidid></search><sort><creationdate>20200928</creationdate><title>Morphometric Cell Classification for Single‐Cell MALDI‐Mass Spectrometry Imaging</title><author>Ščupáková, Klára ; Dewez, Frédéric ; Walch, Axel K. ; Heeren, Ron M. A. ; Balluff, Benjamin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2725-1ec8fe85e6362f92bfbab00452674c98b5b97106d03996e3ccacc7f22019ac753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biological activity</topic><topic>Chemistry</topic><topic>Image analysis</topic><topic>Image classification</topic><topic>Image processing</topic><topic>imaging</topic><topic>lipids</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Molecular biology</topic><topic>morphometry</topic><topic>single-cell analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ščupáková, Klára</creatorcontrib><creatorcontrib>Dewez, Frédéric</creatorcontrib><creatorcontrib>Walch, Axel K.</creatorcontrib><creatorcontrib>Heeren, Ron M. A.</creatorcontrib><creatorcontrib>Balluff, Benjamin</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Angewandte Chemie</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ščupáková, Klára</au><au>Dewez, Frédéric</au><au>Walch, Axel K.</au><au>Heeren, Ron M. A.</au><au>Balluff, Benjamin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Morphometric Cell Classification for Single‐Cell MALDI‐Mass Spectrometry Imaging</atitle><jtitle>Angewandte Chemie</jtitle><date>2020-09-28</date><risdate>2020</risdate><volume>132</volume><issue>40</issue><spage>17600</spage><epage>17603</epage><pages>17600-17603</pages><issn>0044-8249</issn><eissn>1521-3757</eissn><abstract>The large‐scale and label‐free molecular characterization of single cells in their natural tissue habitat remains a major challenge in molecular biology. We present a method that integrates morphometric image analysis to delineate and classify individual cells with their single‐cell‐specific molecular profiles. This approach provides a new means to study spatial biological processes such as cancer field effects and the relationship between morphometric and molecular features. Understanding how cells regulate their bioenergetic demands, adjust to the microenvironment, or respond to stimuli is the aim of molecular biology. Yet, methods able to describe the molecular content, histological identity, and spatial context of a single cell do not exist. The presented method integrates morphometric image analysis to delineate and classify individual cells with their cell‐specific molecular profiles obtained by MALDI‐MSI.</abstract><cop>Weinheim</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/ange.202007315</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-6533-7179</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0044-8249
ispartof Angewandte Chemie, 2020-09, Vol.132 (40), p.17600-17603
issn 0044-8249
1521-3757
language eng
recordid cdi_proquest_journals_2444280663
source Wiley Online Library Journals Frontfile Complete
subjects Biological activity
Chemistry
Image analysis
Image classification
Image processing
imaging
lipids
Mass spectrometry
Mass spectroscopy
Molecular biology
morphometry
single-cell analysis
title Morphometric Cell Classification for Single‐Cell MALDI‐Mass Spectrometry Imaging
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T18%3A09%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Morphometric%20Cell%20Classification%20for%20Single%E2%80%90Cell%20MALDI%E2%80%90Mass%20Spectrometry%20Imaging&rft.jtitle=Angewandte%20Chemie&rft.au=%C5%A0%C4%8Dup%C3%A1kov%C3%A1,%20Kl%C3%A1ra&rft.date=2020-09-28&rft.volume=132&rft.issue=40&rft.spage=17600&rft.epage=17603&rft.pages=17600-17603&rft.issn=0044-8249&rft.eissn=1521-3757&rft_id=info:doi/10.1002/ange.202007315&rft_dat=%3Cproquest_cross%3E2444280663%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2444280663&rft_id=info:pmid/&rfr_iscdi=true