Loading…

Extended Field Laser Confocal Microscopy (EFLCM): combining automated Gigapixel image capture with in silico virtual microscopy

Confocal laser scanning microscopy has revolutionized cell biology. However, the technique has major limitations in speed and sensitivity due to the fact that a single laser beam scans the sample, allowing only a few microseconds signal collection for each pixel. This limitation has been overcome by...

Full description

Saved in:
Bibliographic Details
Published in:BMC medical imaging 2008-07, Vol.8 (1), p.13-13
Main Authors: Flaberg, Emilie, Sabelström, Per, Strandh, Christer, Szekely, Laszlo
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 13
container_issue 1
container_start_page 13
container_title BMC medical imaging
container_volume 8
creator Flaberg, Emilie
Sabelström, Per
Strandh, Christer
Szekely, Laszlo
description Confocal laser scanning microscopy has revolutionized cell biology. However, the technique has major limitations in speed and sensitivity due to the fact that a single laser beam scans the sample, allowing only a few microseconds signal collection for each pixel. This limitation has been overcome by the introduction of parallel beam illumination techniques in combination with cold CCD camera based image capture. Using the combination of microlens enhanced Nipkow spinning disc confocal illumination together with fully automated image capture and large scale in silico image processing we have developed a system allowing the acquisition, presentation and analysis of maximum resolution confocal panorama images of several Gigapixel size. We call the method Extended Field Laser Confocal Microscopy (EFLCM). We show using the EFLCM technique that it is possible to create a continuous confocal multi-colour mosaic from thousands of individually captured images. EFLCM can digitize and analyze histological slides, sections of entire rodent organ and full size embryos. It can also record hundreds of thousands cultured cells at multiple wavelength in single event or time-lapse fashion on fixed slides, in live cell imaging chambers or microtiter plates. The observer independent image capture of EFLCM allows quantitative measurements of fluorescence intensities and morphological parameters on a large number of cells. EFLCM therefore bridges the gap between the mainly illustrative fluorescence microscopy and purely quantitative flow cytometry. EFLCM can also be used as high content analysis (HCA) instrument for automated screening processes.
doi_str_mv 10.1186/1471-2342-8-13
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_cfd52cd1edda43db911dc0f6d2a8393b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A182761832</galeid><doaj_id>oai_doaj_org_article_cfd52cd1edda43db911dc0f6d2a8393b</doaj_id><sourcerecordid>A182761832</sourcerecordid><originalsourceid>FETCH-LOGICAL-b4706-f51cf778cf56203496a18865dc59352a60181a12e33fec392eaed1089a6ff243</originalsourceid><addsrcrecordid>eNqFkk1r3DAQhk1padK01x6LoFDag1OPZMtyD4Ww7KaBDb3kLsbSyFGwra0_0uTUv15tN12y0BJ0GDHzzsPwziTJW8hOAZT8DHkJKRc5T1UK4llyvE88f_Q_Sl6N402WQalE_jI5ip28lCI_Tn4t7ybqLVm28tRatsaRBrYIvQsGW3bpzRBGEzb37ONytV5cfvrCTOhq3_u-YThPocMpNp_7Bjf-jlrmO2yIGdxM80Dsp5-ume_Z6FtvArv1wzRHbLfHvk5eOGxHevMQT5Kr1fJq8S1dfz-_WJyt0zovM5m6AowrS2VcIXkm8koiKCULa4pKFBxlBgoQOAnhyIiKE5KFTFUoneO5OEkudlgb8EZvhjjlcK8Dev0nEYZG4zB505I2zhbcWCBrMRe2rgCsyZy0HJWoRB1ZX3eszVx3ZA3104DtAfSw0vtr3YRbzQsoeKUi4GwHqH34D-CwEh3X213q7S610iAi48PDEEP4MdM46c6PhtoWewrzqGWVcw7RqqeEHDJeCiifFEI0ushBRuH7nbDBaJePlxKHNFuxPgMV7wqU4FF1-g9VfJbi9kNPzsf8QcO7x7bu7fh7q-I3DDjrqg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>19355416</pqid></control><display><type>article</type><title>Extended Field Laser Confocal Microscopy (EFLCM): combining automated Gigapixel image capture with in silico virtual microscopy</title><source>PubMed Central</source><creator>Flaberg, Emilie ; Sabelström, Per ; Strandh, Christer ; Szekely, Laszlo</creator><creatorcontrib>Flaberg, Emilie ; Sabelström, Per ; Strandh, Christer ; Szekely, Laszlo</creatorcontrib><description>Confocal laser scanning microscopy has revolutionized cell biology. However, the technique has major limitations in speed and sensitivity due to the fact that a single laser beam scans the sample, allowing only a few microseconds signal collection for each pixel. This limitation has been overcome by the introduction of parallel beam illumination techniques in combination with cold CCD camera based image capture. Using the combination of microlens enhanced Nipkow spinning disc confocal illumination together with fully automated image capture and large scale in silico image processing we have developed a system allowing the acquisition, presentation and analysis of maximum resolution confocal panorama images of several Gigapixel size. We call the method Extended Field Laser Confocal Microscopy (EFLCM). We show using the EFLCM technique that it is possible to create a continuous confocal multi-colour mosaic from thousands of individually captured images. EFLCM can digitize and analyze histological slides, sections of entire rodent organ and full size embryos. It can also record hundreds of thousands cultured cells at multiple wavelength in single event or time-lapse fashion on fixed slides, in live cell imaging chambers or microtiter plates. The observer independent image capture of EFLCM allows quantitative measurements of fluorescence intensities and morphological parameters on a large number of cells. EFLCM therefore bridges the gap between the mainly illustrative fluorescence microscopy and purely quantitative flow cytometry. EFLCM can also be used as high content analysis (HCA) instrument for automated screening processes.</description><identifier>ISSN: 1471-2342</identifier><identifier>EISSN: 1471-2342</identifier><identifier>DOI: 10.1186/1471-2342-8-13</identifier><identifier>PMID: 18627634</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Animals ; Artificial Intelligence ; Equipment Design ; Equipment Failure Analysis ; Flow cytometry ; Fluorescence microscopy ; Image Enhancement - instrumentation ; Image Interpretation, Computer-Assisted - instrumentation ; Innovations ; Methods ; Microscopy, Confocal - instrumentation ; Pattern Recognition, Automated - methods ; Phantoms, Imaging ; Rats ; Reproducibility of Results ; Sensitivity and Specificity ; Signal Processing, Computer-Assisted - instrumentation ; Technical Advance ; User-Computer Interface</subject><ispartof>BMC medical imaging, 2008-07, Vol.8 (1), p.13-13</ispartof><rights>COPYRIGHT 2008 BioMed Central Ltd.</rights><rights>Copyright © 2008 Flaberg et al; licensee BioMed Central Ltd. 2008 Flaberg et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2515298/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2515298/$$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/18627634$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Flaberg, Emilie</creatorcontrib><creatorcontrib>Sabelström, Per</creatorcontrib><creatorcontrib>Strandh, Christer</creatorcontrib><creatorcontrib>Szekely, Laszlo</creatorcontrib><title>Extended Field Laser Confocal Microscopy (EFLCM): combining automated Gigapixel image capture with in silico virtual microscopy</title><title>BMC medical imaging</title><addtitle>BMC Med Imaging</addtitle><description>Confocal laser scanning microscopy has revolutionized cell biology. However, the technique has major limitations in speed and sensitivity due to the fact that a single laser beam scans the sample, allowing only a few microseconds signal collection for each pixel. This limitation has been overcome by the introduction of parallel beam illumination techniques in combination with cold CCD camera based image capture. Using the combination of microlens enhanced Nipkow spinning disc confocal illumination together with fully automated image capture and large scale in silico image processing we have developed a system allowing the acquisition, presentation and analysis of maximum resolution confocal panorama images of several Gigapixel size. We call the method Extended Field Laser Confocal Microscopy (EFLCM). We show using the EFLCM technique that it is possible to create a continuous confocal multi-colour mosaic from thousands of individually captured images. EFLCM can digitize and analyze histological slides, sections of entire rodent organ and full size embryos. It can also record hundreds of thousands cultured cells at multiple wavelength in single event or time-lapse fashion on fixed slides, in live cell imaging chambers or microtiter plates. The observer independent image capture of EFLCM allows quantitative measurements of fluorescence intensities and morphological parameters on a large number of cells. EFLCM therefore bridges the gap between the mainly illustrative fluorescence microscopy and purely quantitative flow cytometry. EFLCM can also be used as high content analysis (HCA) instrument for automated screening processes.</description><subject>Animals</subject><subject>Artificial Intelligence</subject><subject>Equipment Design</subject><subject>Equipment Failure Analysis</subject><subject>Flow cytometry</subject><subject>Fluorescence microscopy</subject><subject>Image Enhancement - instrumentation</subject><subject>Image Interpretation, Computer-Assisted - instrumentation</subject><subject>Innovations</subject><subject>Methods</subject><subject>Microscopy, Confocal - instrumentation</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Phantoms, Imaging</subject><subject>Rats</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Signal Processing, Computer-Assisted - instrumentation</subject><subject>Technical Advance</subject><subject>User-Computer Interface</subject><issn>1471-2342</issn><issn>1471-2342</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqFkk1r3DAQhk1padK01x6LoFDag1OPZMtyD4Ww7KaBDb3kLsbSyFGwra0_0uTUv15tN12y0BJ0GDHzzsPwziTJW8hOAZT8DHkJKRc5T1UK4llyvE88f_Q_Sl6N402WQalE_jI5ip28lCI_Tn4t7ybqLVm28tRatsaRBrYIvQsGW3bpzRBGEzb37ONytV5cfvrCTOhq3_u-YThPocMpNp_7Bjf-jlrmO2yIGdxM80Dsp5-ume_Z6FtvArv1wzRHbLfHvk5eOGxHevMQT5Kr1fJq8S1dfz-_WJyt0zovM5m6AowrS2VcIXkm8koiKCULa4pKFBxlBgoQOAnhyIiKE5KFTFUoneO5OEkudlgb8EZvhjjlcK8Dev0nEYZG4zB505I2zhbcWCBrMRe2rgCsyZy0HJWoRB1ZX3eszVx3ZA3104DtAfSw0vtr3YRbzQsoeKUi4GwHqH34D-CwEh3X213q7S610iAi48PDEEP4MdM46c6PhtoWewrzqGWVcw7RqqeEHDJeCiifFEI0ushBRuH7nbDBaJePlxKHNFuxPgMV7wqU4FF1-g9VfJbi9kNPzsf8QcO7x7bu7fh7q-I3DDjrqg</recordid><startdate>20080716</startdate><enddate>20080716</enddate><creator>Flaberg, Emilie</creator><creator>Sabelström, Per</creator><creator>Strandh, Christer</creator><creator>Szekely, Laszlo</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20080716</creationdate><title>Extended Field Laser Confocal Microscopy (EFLCM): combining automated Gigapixel image capture with in silico virtual microscopy</title><author>Flaberg, Emilie ; Sabelström, Per ; Strandh, Christer ; Szekely, Laszlo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b4706-f51cf778cf56203496a18865dc59352a60181a12e33fec392eaed1089a6ff243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Animals</topic><topic>Artificial Intelligence</topic><topic>Equipment Design</topic><topic>Equipment Failure Analysis</topic><topic>Flow cytometry</topic><topic>Fluorescence microscopy</topic><topic>Image Enhancement - instrumentation</topic><topic>Image Interpretation, Computer-Assisted - instrumentation</topic><topic>Innovations</topic><topic>Methods</topic><topic>Microscopy, Confocal - instrumentation</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Phantoms, Imaging</topic><topic>Rats</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Signal Processing, Computer-Assisted - instrumentation</topic><topic>Technical Advance</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Flaberg, Emilie</creatorcontrib><creatorcontrib>Sabelström, Per</creatorcontrib><creatorcontrib>Strandh, Christer</creatorcontrib><creatorcontrib>Szekely, Laszlo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC medical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Flaberg, Emilie</au><au>Sabelström, Per</au><au>Strandh, Christer</au><au>Szekely, Laszlo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Extended Field Laser Confocal Microscopy (EFLCM): combining automated Gigapixel image capture with in silico virtual microscopy</atitle><jtitle>BMC medical imaging</jtitle><addtitle>BMC Med Imaging</addtitle><date>2008-07-16</date><risdate>2008</risdate><volume>8</volume><issue>1</issue><spage>13</spage><epage>13</epage><pages>13-13</pages><issn>1471-2342</issn><eissn>1471-2342</eissn><abstract>Confocal laser scanning microscopy has revolutionized cell biology. However, the technique has major limitations in speed and sensitivity due to the fact that a single laser beam scans the sample, allowing only a few microseconds signal collection for each pixel. This limitation has been overcome by the introduction of parallel beam illumination techniques in combination with cold CCD camera based image capture. Using the combination of microlens enhanced Nipkow spinning disc confocal illumination together with fully automated image capture and large scale in silico image processing we have developed a system allowing the acquisition, presentation and analysis of maximum resolution confocal panorama images of several Gigapixel size. We call the method Extended Field Laser Confocal Microscopy (EFLCM). We show using the EFLCM technique that it is possible to create a continuous confocal multi-colour mosaic from thousands of individually captured images. EFLCM can digitize and analyze histological slides, sections of entire rodent organ and full size embryos. It can also record hundreds of thousands cultured cells at multiple wavelength in single event or time-lapse fashion on fixed slides, in live cell imaging chambers or microtiter plates. The observer independent image capture of EFLCM allows quantitative measurements of fluorescence intensities and morphological parameters on a large number of cells. EFLCM therefore bridges the gap between the mainly illustrative fluorescence microscopy and purely quantitative flow cytometry. EFLCM can also be used as high content analysis (HCA) instrument for automated screening processes.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>18627634</pmid><doi>10.1186/1471-2342-8-13</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1471-2342
ispartof BMC medical imaging, 2008-07, Vol.8 (1), p.13-13
issn 1471-2342
1471-2342
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_cfd52cd1edda43db911dc0f6d2a8393b
source PubMed Central
subjects Animals
Artificial Intelligence
Equipment Design
Equipment Failure Analysis
Flow cytometry
Fluorescence microscopy
Image Enhancement - instrumentation
Image Interpretation, Computer-Assisted - instrumentation
Innovations
Methods
Microscopy, Confocal - instrumentation
Pattern Recognition, Automated - methods
Phantoms, Imaging
Rats
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted - instrumentation
Technical Advance
User-Computer Interface
title Extended Field Laser Confocal Microscopy (EFLCM): combining automated Gigapixel image capture with in silico virtual microscopy
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T18%3A14%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Extended%20Field%20Laser%20Confocal%20Microscopy%20(EFLCM):%20combining%20automated%20Gigapixel%20image%20capture%20with%20in%20silico%20virtual%20microscopy&rft.jtitle=BMC%20medical%20imaging&rft.au=Flaberg,%20Emilie&rft.date=2008-07-16&rft.volume=8&rft.issue=1&rft.spage=13&rft.epage=13&rft.pages=13-13&rft.issn=1471-2342&rft.eissn=1471-2342&rft_id=info:doi/10.1186/1471-2342-8-13&rft_dat=%3Cgale_doaj_%3EA182761832%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-b4706-f51cf778cf56203496a18865dc59352a60181a12e33fec392eaed1089a6ff243%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=19355416&rft_id=info:pmid/18627634&rft_galeid=A182761832&rfr_iscdi=true