Challenges and opportunities in bioimage analysis

Challenges and opportunities in bioimage analysis

Advanced imaging techniques provide holistic observations of complicated biological phenomena across multiple scales while posing great challenges to data analysis. We summarize recent advances and trends in bioimage analysis, discuss current challenges toward better applicability, and envisage new...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature methods 2023-07, Vol.20 (7), p.958-961
Hauptverfasser: Li, Xinyang, Zhang, Yuanlong, Wu, Jiamin, Dai, Qionghai
Format: Artikel
Sprache:eng
Schlagworte:
631/553/794
631/61
Bioinformatics
Biological Microscopy
Biological Techniques
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Business metrics
Comment
Data analysis
Datasets
Deep learning
Imaging techniques
Life Sciences
Microscopy
Physiology
Proteomics
Trends
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 961
container_issue 7
container_start_page 958
container_title Nature methods
container_volume 20
creator Li, Xinyang
Zhang, Yuanlong
Wu, Jiamin
Dai, Qionghai
description Advanced imaging techniques provide holistic observations of complicated biological phenomena across multiple scales while posing great challenges to data analysis. We summarize recent advances and trends in bioimage analysis, discuss current challenges toward better applicability, and envisage new possibilities.
doi_str_mv 10.1038/s41592-023-01900-4
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2836295452</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2836295452</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-ca8814b976eb427c646f8cd5663c8a024e28160888b5ff11dc025b1f088bbc4a3</originalsourceid><addsrcrecordid>eNp9kLtOwzAUhi0EoqXwAgyoEguLwfc4I6q4SZVYYLZsxymu0jjYydC3xzQtSAxMts75zn_sD4BLjG4xovIuMcxLAhGhEOESIciOwBRzJmGBET8-3FGJJ-AspTVClDLCT8GEFozSshRTgBcfumlcu3JprttqHrouxH5ofe9zxbdz44Pf6JXLXd1sk0_n4KTWTXIX-3MG3h8f3hbPcPn69LK4X0JLC95Dq6XEzJSFcIaRwgomamkrLgS1UiPCHJFYICml4XWNcWUR4QbXuWKMZZrOwM2Y28XwObjUq41P1jWNbl0YkiKSClJyxklGr_-g6zDE_N4dxYUsCOeZIiNlY0gpulp1MX8tbhVG6luoGoWqLFTthCqWh6720YPZuOpn5GAwA3QEUm5ljfF39z-xXxSYfuw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2835687255</pqid></control><display><type>article</type><title>Challenges and opportunities in bioimage analysis</title><source>SpringerLink Journals</source><source>Nature Journals Online</source><creator>Li, Xinyang ; Zhang, Yuanlong ; Wu, Jiamin ; Dai, Qionghai</creator><creatorcontrib>Li, Xinyang ; Zhang, Yuanlong ; Wu, Jiamin ; Dai, Qionghai</creatorcontrib><description>Advanced imaging techniques provide holistic observations of complicated biological phenomena across multiple scales while posing great challenges to data analysis. We summarize recent advances and trends in bioimage analysis, discuss current challenges toward better applicability, and envisage new possibilities.</description><identifier>ISSN: 1548-7091</identifier><identifier>EISSN: 1548-7105</identifier><identifier>DOI: 10.1038/s41592-023-01900-4</identifier><identifier>PMID: 37433996</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>631/553/794 ; 631/61 ; Bioinformatics ; Biological Microscopy ; Biological Techniques ; Biomedical and Life Sciences ; Biomedical Engineering/Biotechnology ; Business metrics ; Comment ; Data analysis ; Datasets ; Deep learning ; Imaging techniques ; Life Sciences ; Microscopy ; Physiology ; Proteomics ; Trends</subject><ispartof>Nature methods, 2023-07, Vol.20 (7), p.958-961</ispartof><rights>Springer Nature America, Inc. 2023</rights><rights>Springer Nature America, Inc. 2023.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-ca8814b976eb427c646f8cd5663c8a024e28160888b5ff11dc025b1f088bbc4a3</citedby><cites>FETCH-LOGICAL-c375t-ca8814b976eb427c646f8cd5663c8a024e28160888b5ff11dc025b1f088bbc4a3</cites><orcidid>0000-0003-3880-5448 ; 0000-0003-3479-1026 ; 0000-0001-7043-3061</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41592-023-01900-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41592-023-01900-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37433996$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xinyang</creatorcontrib><creatorcontrib>Zhang, Yuanlong</creatorcontrib><creatorcontrib>Wu, Jiamin</creatorcontrib><creatorcontrib>Dai, Qionghai</creatorcontrib><title>Challenges and opportunities in bioimage analysis</title><title>Nature methods</title><addtitle>Nat Methods</addtitle><addtitle>Nat Methods</addtitle><description>Advanced imaging techniques provide holistic observations of complicated biological phenomena across multiple scales while posing great challenges to data analysis. We summarize recent advances and trends in bioimage analysis, discuss current challenges toward better applicability, and envisage new possibilities.</description><subject>631/553/794</subject><subject>631/61</subject><subject>Bioinformatics</subject><subject>Biological Microscopy</subject><subject>Biological Techniques</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering/Biotechnology</subject><subject>Business metrics</subject><subject>Comment</subject><subject>Data analysis</subject><subject>Datasets</subject><subject>Deep learning</subject><subject>Imaging techniques</subject><subject>Life Sciences</subject><subject>Microscopy</subject><subject>Physiology</subject><subject>Proteomics</subject><subject>Trends</subject><issn>1548-7091</issn><issn>1548-7105</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kLtOwzAUhi0EoqXwAgyoEguLwfc4I6q4SZVYYLZsxymu0jjYydC3xzQtSAxMts75zn_sD4BLjG4xovIuMcxLAhGhEOESIciOwBRzJmGBET8-3FGJJ-AspTVClDLCT8GEFozSshRTgBcfumlcu3JprttqHrouxH5ofe9zxbdz44Pf6JXLXd1sk0_n4KTWTXIX-3MG3h8f3hbPcPn69LK4X0JLC95Dq6XEzJSFcIaRwgomamkrLgS1UiPCHJFYICml4XWNcWUR4QbXuWKMZZrOwM2Y28XwObjUq41P1jWNbl0YkiKSClJyxklGr_-g6zDE_N4dxYUsCOeZIiNlY0gpulp1MX8tbhVG6luoGoWqLFTthCqWh6720YPZuOpn5GAwA3QEUm5ljfF39z-xXxSYfuw</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Li, Xinyang</creator><creator>Zhang, Yuanlong</creator><creator>Wu, Jiamin</creator><creator>Dai, Qionghai</creator><general>Nature Publishing Group US</general><general>Nature Publishing Group</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7SS</scope><scope>7TK</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3880-5448</orcidid><orcidid>https://orcid.org/0000-0003-3479-1026</orcidid><orcidid>https://orcid.org/0000-0001-7043-3061</orcidid></search><sort><creationdate>20230701</creationdate><title>Challenges and opportunities in bioimage analysis</title><author>Li, Xinyang ; Zhang, Yuanlong ; Wu, Jiamin ; Dai, Qionghai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-ca8814b976eb427c646f8cd5663c8a024e28160888b5ff11dc025b1f088bbc4a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>631/553/794</topic><topic>631/61</topic><topic>Bioinformatics</topic><topic>Biological Microscopy</topic><topic>Biological Techniques</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering/Biotechnology</topic><topic>Business metrics</topic><topic>Comment</topic><topic>Data analysis</topic><topic>Datasets</topic><topic>Deep learning</topic><topic>Imaging techniques</topic><topic>Life Sciences</topic><topic>Microscopy</topic><topic>Physiology</topic><topic>Proteomics</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xinyang</creatorcontrib><creatorcontrib>Zhang, Yuanlong</creatorcontrib><creatorcontrib>Wu, Jiamin</creatorcontrib><creatorcontrib>Dai, Qionghai</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health &amp; Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health &amp; Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied &amp; Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Nature methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xinyang</au><au>Zhang, Yuanlong</au><au>Wu, Jiamin</au><au>Dai, Qionghai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Challenges and opportunities in bioimage analysis</atitle><jtitle>Nature methods</jtitle><stitle>Nat Methods</stitle><addtitle>Nat Methods</addtitle><date>2023-07-01</date><risdate>2023</risdate><volume>20</volume><issue>7</issue><spage>958</spage><epage>961</epage><pages>958-961</pages><issn>1548-7091</issn><eissn>1548-7105</eissn><abstract>Advanced imaging techniques provide holistic observations of complicated biological phenomena across multiple scales while posing great challenges to data analysis. We summarize recent advances and trends in bioimage analysis, discuss current challenges toward better applicability, and envisage new possibilities.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>37433996</pmid><doi>10.1038/s41592-023-01900-4</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0003-3880-5448</orcidid><orcidid>https://orcid.org/0000-0003-3479-1026</orcidid><orcidid>https://orcid.org/0000-0001-7043-3061</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1548-7091
ispartof Nature methods, 2023-07, Vol.20 (7), p.958-961
issn 1548-7091
1548-7105
language eng
recordid cdi_proquest_miscellaneous_2836295452
source SpringerLink Journals; Nature Journals Online
subjects 631/553/794
631/61
Bioinformatics
Biological Microscopy
Biological Techniques
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Business metrics
Comment
Data analysis
Datasets
Deep learning
Imaging techniques
Life Sciences
Microscopy
Physiology
Proteomics
Trends
title Challenges and opportunities in bioimage analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-18T23%3A00%3A00IST&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=Challenges%20and%20opportunities%20in%20bioimage%20analysis&rft.jtitle=Nature%20methods&rft.au=Li,%20Xinyang&rft.date=2023-07-01&rft.volume=20&rft.issue=7&rft.spage=958&rft.epage=961&rft.pages=958-961&rft.issn=1548-7091&rft.eissn=1548-7105&rft_id=info:doi/10.1038/s41592-023-01900-4&rft_dat=%3Cproquest_cross%3E2836295452%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=2835687255&rft_id=info:pmid/37433996&rfr_iscdi=true