SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging
Super-resolution optical fluctuation imaging (SOFI) allows one to perform sub-diffraction fluorescence microscopy of living cells. By analyzing the acquired image sequence with an advanced correlation method, i.e. a high-order cross-cumulant analysis, super-resolution in all three spatial dimensions...
Gespeichert in:
| Veröffentlicht in: | PloS one 2016-09, Vol.11 (9), p.e0161602-e0161602 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0161602 |
|---|---|
| container_issue | 9 |
| container_start_page | e0161602 |
| container_title | PloS one |
| container_volume | 11 |
| creator | Girsault, Arik Lukes, Tomas Sharipov, Azat Geissbuehler, Stefan Leutenegger, Marcel Vandenberg, Wim Dedecker, Peter Hofkens, Johan Lasser, Theo |
| description | Super-resolution optical fluctuation imaging (SOFI) allows one to perform sub-diffraction fluorescence microscopy of living cells. By analyzing the acquired image sequence with an advanced correlation method, i.e. a high-order cross-cumulant analysis, super-resolution in all three spatial dimensions can be achieved. Here we introduce a software tool for a simple qualitative comparison of SOFI images under simulated conditions considering parameters of the microscope setup and essential properties of the biological sample. This tool incorporates SOFI and STORM algorithms, displays and describes the SOFI image processing steps in a tutorial-like fashion. Fast testing of various parameters simplifies the parameter optimization prior to experimental work. The performance of the simulation tool is demonstrated by comparing simulated results with experimentally acquired data. |
| doi_str_mv | 10.1371/journal.pone.0161602 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1815978533</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A462201329</galeid><doaj_id>oai_doaj_org_article_b599eebd15674ba3b0c36fff617b7028</doaj_id><sourcerecordid>A462201329</sourcerecordid><originalsourceid>FETCH-LOGICAL-c819t-e0739b059d4c1941f3d1758b30f6a62cd30764046a2da7d96009d02cb7a522963</originalsourceid><addsrcrecordid>eNqNk8uO0zAUhiMEYoaBN0AQCQnBosWXxBcWSNWIQqWRiqaFreU4TprixBk74fL2uG1aNWgWIy9sHX_n97n4RNFLCKYQU_hha3vXSDNtbaOnABJIAHoUXUKO0YQggB-fnS-iZ95vAUgxI-RpdIFoyjAm6WXUrpbzRbyq6t7IrrJNvLbWfIxn8coW3W_pdPxNqp-y1HFh3Ylrylg2ebzWfn9e9a12k1vtren3Isu2q5Q08dz0qusPwotalgF-Hj0ppPH6xbBfRd_nn9fXXyc3yy-L69nNRDHIu4kGFPMMpDxPFOQJLHAOQ9AZBgWRBKkcA0oSkBCJcklzTgDgOUAqozJFiBN8Fb0-6LbGejEUywvIYMopSzEOxOJA5FZuReuqWrq_wspK7A3WlUK6kIfRIks51zrLYUpokkmcAYVJURQE0owCxILWp-G1Pqt1rnTTOWlGouObptqI0v4SKQCMIhQE3g0Czt71oa6irrzSxshG234XN6KMUcAegkJCEGcJDOib_9D7CzFQpQy5Vk1hQ4hqJypmCUEIQIx4oKb3UGHluq5U-IRFFewjh_cjh8B0-k9Xyt57sVjdPpxd_hizb8_YjZam2xx_nh-DyQFUznrvdHHqBwRiN0PHaojdDIlhhoLbq_NenpyOQ4P_AWe4FPM</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1815978533</pqid></control><display><type>article</type><title>SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging</title><source>MEDLINE</source><source>Public Library of Science</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>DOAJ: Directory of Open Access Journals</source><source>EZB Electronic Journals Library</source><creator>Girsault, Arik ; Lukes, Tomas ; Sharipov, Azat ; Geissbuehler, Stefan ; Leutenegger, Marcel ; Vandenberg, Wim ; Dedecker, Peter ; Hofkens, Johan ; Lasser, Theo</creator><creatorcontrib>Girsault, Arik ; Lukes, Tomas ; Sharipov, Azat ; Geissbuehler, Stefan ; Leutenegger, Marcel ; Vandenberg, Wim ; Dedecker, Peter ; Hofkens, Johan ; Lasser, Theo</creatorcontrib><description>Super-resolution optical fluctuation imaging (SOFI) allows one to perform sub-diffraction fluorescence microscopy of living cells. By analyzing the acquired image sequence with an advanced correlation method, i.e. a high-order cross-cumulant analysis, super-resolution in all three spatial dimensions can be achieved. Here we introduce a software tool for a simple qualitative comparison of SOFI images under simulated conditions considering parameters of the microscope setup and essential properties of the biological sample. This tool incorporates SOFI and STORM algorithms, displays and describes the SOFI image processing steps in a tutorial-like fashion. Fast testing of various parameters simplifies the parameter optimization prior to experimental work. The performance of the simulation tool is demonstrated by comparing simulated results with experimentally acquired data.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0161602</identifier><identifier>PMID: 27583365</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Biological properties ; Biological samples ; Biological specimens ; Biology and Life Sciences ; Cameras ; Cells (Biology) ; Computer programs ; Computer simulation ; Custom software ; Data acquisition ; Engineering and Technology ; Fluorescence ; Fluorescence microscopy ; HeLa Cells ; Humans ; Image acquisition ; Image processing ; Image Processing, Computer-Assisted - methods ; Image resolution ; Microscopy ; Microscopy, Fluorescence ; Optics ; Optimization ; Physical Sciences ; Research and Analysis Methods ; Signal processing ; Simulation ; Software ; Software development tools ; Storms ; System theory ; Technology application ; Variation</subject><ispartof>PloS one, 2016-09, Vol.11 (9), p.e0161602-e0161602</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Girsault et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Girsault et al 2016 Girsault et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c819t-e0739b059d4c1941f3d1758b30f6a62cd30764046a2da7d96009d02cb7a522963</citedby><cites>FETCH-LOGICAL-c819t-e0739b059d4c1941f3d1758b30f6a62cd30764046a2da7d96009d02cb7a522963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008722/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008722/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27583365$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Girsault, Arik</creatorcontrib><creatorcontrib>Lukes, Tomas</creatorcontrib><creatorcontrib>Sharipov, Azat</creatorcontrib><creatorcontrib>Geissbuehler, Stefan</creatorcontrib><creatorcontrib>Leutenegger, Marcel</creatorcontrib><creatorcontrib>Vandenberg, Wim</creatorcontrib><creatorcontrib>Dedecker, Peter</creatorcontrib><creatorcontrib>Hofkens, Johan</creatorcontrib><creatorcontrib>Lasser, Theo</creatorcontrib><title>SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Super-resolution optical fluctuation imaging (SOFI) allows one to perform sub-diffraction fluorescence microscopy of living cells. By analyzing the acquired image sequence with an advanced correlation method, i.e. a high-order cross-cumulant analysis, super-resolution in all three spatial dimensions can be achieved. Here we introduce a software tool for a simple qualitative comparison of SOFI images under simulated conditions considering parameters of the microscope setup and essential properties of the biological sample. This tool incorporates SOFI and STORM algorithms, displays and describes the SOFI image processing steps in a tutorial-like fashion. Fast testing of various parameters simplifies the parameter optimization prior to experimental work. The performance of the simulation tool is demonstrated by comparing simulated results with experimentally acquired data.</description><subject>Algorithms</subject><subject>Biological properties</subject><subject>Biological samples</subject><subject>Biological specimens</subject><subject>Biology and Life Sciences</subject><subject>Cameras</subject><subject>Cells (Biology)</subject><subject>Computer programs</subject><subject>Computer simulation</subject><subject>Custom software</subject><subject>Data acquisition</subject><subject>Engineering and Technology</subject><subject>Fluorescence</subject><subject>Fluorescence microscopy</subject><subject>HeLa Cells</subject><subject>Humans</subject><subject>Image acquisition</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Image resolution</subject><subject>Microscopy</subject><subject>Microscopy, Fluorescence</subject><subject>Optics</subject><subject>Optimization</subject><subject>Physical Sciences</subject><subject>Research and Analysis Methods</subject><subject>Signal processing</subject><subject>Simulation</subject><subject>Software</subject><subject>Software development tools</subject><subject>Storms</subject><subject>System theory</subject><subject>Technology application</subject><subject>Variation</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk8uO0zAUhiMEYoaBN0AQCQnBosWXxBcWSNWIQqWRiqaFreU4TprixBk74fL2uG1aNWgWIy9sHX_n97n4RNFLCKYQU_hha3vXSDNtbaOnABJIAHoUXUKO0YQggB-fnS-iZ95vAUgxI-RpdIFoyjAm6WXUrpbzRbyq6t7IrrJNvLbWfIxn8coW3W_pdPxNqp-y1HFh3Ylrylg2ebzWfn9e9a12k1vtren3Isu2q5Q08dz0qusPwotalgF-Hj0ppPH6xbBfRd_nn9fXXyc3yy-L69nNRDHIu4kGFPMMpDxPFOQJLHAOQ9AZBgWRBKkcA0oSkBCJcklzTgDgOUAqozJFiBN8Fb0-6LbGejEUywvIYMopSzEOxOJA5FZuReuqWrq_wspK7A3WlUK6kIfRIks51zrLYUpokkmcAYVJURQE0owCxILWp-G1Pqt1rnTTOWlGouObptqI0v4SKQCMIhQE3g0Czt71oa6irrzSxshG234XN6KMUcAegkJCEGcJDOib_9D7CzFQpQy5Vk1hQ4hqJypmCUEIQIx4oKb3UGHluq5U-IRFFewjh_cjh8B0-k9Xyt57sVjdPpxd_hizb8_YjZam2xx_nh-DyQFUznrvdHHqBwRiN0PHaojdDIlhhoLbq_NenpyOQ4P_AWe4FPM</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Girsault, Arik</creator><creator>Lukes, Tomas</creator><creator>Sharipov, Azat</creator><creator>Geissbuehler, Stefan</creator><creator>Leutenegger, Marcel</creator><creator>Vandenberg, Wim</creator><creator>Dedecker, Peter</creator><creator>Hofkens, Johan</creator><creator>Lasser, Theo</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</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>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>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160901</creationdate><title>SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging</title><author>Girsault, Arik ; Lukes, Tomas ; Sharipov, Azat ; Geissbuehler, Stefan ; Leutenegger, Marcel ; Vandenberg, Wim ; Dedecker, Peter ; Hofkens, Johan ; Lasser, Theo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c819t-e0739b059d4c1941f3d1758b30f6a62cd30764046a2da7d96009d02cb7a522963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithms</topic><topic>Biological properties</topic><topic>Biological samples</topic><topic>Biological specimens</topic><topic>Biology and Life Sciences</topic><topic>Cameras</topic><topic>Cells (Biology)</topic><topic>Computer programs</topic><topic>Computer simulation</topic><topic>Custom software</topic><topic>Data acquisition</topic><topic>Engineering and Technology</topic><topic>Fluorescence</topic><topic>Fluorescence microscopy</topic><topic>HeLa Cells</topic><topic>Humans</topic><topic>Image acquisition</topic><topic>Image processing</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Image resolution</topic><topic>Microscopy</topic><topic>Microscopy, Fluorescence</topic><topic>Optics</topic><topic>Optimization</topic><topic>Physical Sciences</topic><topic>Research and Analysis Methods</topic><topic>Signal processing</topic><topic>Simulation</topic><topic>Software</topic><topic>Software development tools</topic><topic>Storms</topic><topic>System theory</topic><topic>Technology application</topic><topic>Variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Girsault, Arik</creatorcontrib><creatorcontrib>Lukes, Tomas</creatorcontrib><creatorcontrib>Sharipov, Azat</creatorcontrib><creatorcontrib>Geissbuehler, Stefan</creatorcontrib><creatorcontrib>Leutenegger, Marcel</creatorcontrib><creatorcontrib>Vandenberg, Wim</creatorcontrib><creatorcontrib>Dedecker, Peter</creatorcontrib><creatorcontrib>Hofkens, Johan</creatorcontrib><creatorcontrib>Lasser, Theo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale in Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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 & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural 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</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 & Medical Complete (Alumni)</collection><collection>ProQuest Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>ProQuest Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ: Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Girsault, Arik</au><au>Lukes, Tomas</au><au>Sharipov, Azat</au><au>Geissbuehler, Stefan</au><au>Leutenegger, Marcel</au><au>Vandenberg, Wim</au><au>Dedecker, Peter</au><au>Hofkens, Johan</au><au>Lasser, Theo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>11</volume><issue>9</issue><spage>e0161602</spage><epage>e0161602</epage><pages>e0161602-e0161602</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Super-resolution optical fluctuation imaging (SOFI) allows one to perform sub-diffraction fluorescence microscopy of living cells. By analyzing the acquired image sequence with an advanced correlation method, i.e. a high-order cross-cumulant analysis, super-resolution in all three spatial dimensions can be achieved. Here we introduce a software tool for a simple qualitative comparison of SOFI images under simulated conditions considering parameters of the microscope setup and essential properties of the biological sample. This tool incorporates SOFI and STORM algorithms, displays and describes the SOFI image processing steps in a tutorial-like fashion. Fast testing of various parameters simplifies the parameter optimization prior to experimental work. The performance of the simulation tool is demonstrated by comparing simulated results with experimentally acquired data.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27583365</pmid><doi>10.1371/journal.pone.0161602</doi><tpages>e0161602</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2016-09, Vol.11 (9), p.e0161602-e0161602 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1815978533 |
| source | MEDLINE; Public Library of Science; PubMed Central; Free Full-Text Journals in Chemistry; DOAJ: Directory of Open Access Journals; EZB Electronic Journals Library |
| subjects | Algorithms Biological properties Biological samples Biological specimens Biology and Life Sciences Cameras Cells (Biology) Computer programs Computer simulation Custom software Data acquisition Engineering and Technology Fluorescence Fluorescence microscopy HeLa Cells Humans Image acquisition Image processing Image Processing, Computer-Assisted - methods Image resolution Microscopy Microscopy, Fluorescence Optics Optimization Physical Sciences Research and Analysis Methods Signal processing Simulation Software Software development tools Storms System theory Technology application Variation |
| title | SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T15%3A36%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=SOFI%20Simulation%20Tool:%20A%20Software%20Package%20for%20Simulating%20and%20Testing%20Super-Resolution%20Optical%20Fluctuation%20Imaging&rft.jtitle=PloS%20one&rft.au=Girsault,%20Arik&rft.date=2016-09-01&rft.volume=11&rft.issue=9&rft.spage=e0161602&rft.epage=e0161602&rft.pages=e0161602-e0161602&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0161602&rft_dat=%3Cgale_plos_%3EA462201329%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1815978533&rft_id=info:pmid/27583365&rft_galeid=A462201329&rft_doaj_id=oai_doaj_org_article_b599eebd15674ba3b0c36fff617b7028&rfr_iscdi=true |