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Autofocus evaluation for brightfield microscopy pathology
An essential and indispensable component of automated microscopy framework is the automatic focusing system, which determines the in-focus position of a given field of view by searching the maximum value of a focusing function over a range of -axis positions. The focus function and its computation t...
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| Published in: | Journal of Biomedical Optics 2012-03, Vol.17 (3), p.036008-036008 |
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| Main Authors: | , , , , , , , , , , |
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| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c453t-424e9ff04f056ad90904a5dbdb46a038b89c8d9a404fbac8f51802c9edbf18b03 |
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| cites | cdi_FETCH-LOGICAL-c453t-424e9ff04f056ad90904a5dbdb46a038b89c8d9a404fbac8f51802c9edbf18b03 |
| container_end_page | 036008 |
| container_issue | 3 |
| container_start_page | 036008 |
| container_title | Journal of Biomedical Optics |
| container_volume | 17 |
| creator | Redondo, Rafael Bueno, Gloria Valdiviezo, Juan Carlos Nava, Rodrigo Cristo´bal, Gabriel De´niz, Oscar Garci´a-Rojo, Marcial Salido, Jesus Ferna´ndez, Maria del Milagro Vidal, Juan Escalante-Rami´rez, Boris |
| description | An essential and indispensable component of automated microscopy framework is the automatic focusing system, which determines the in-focus position of a given field of view by searching the maximum value of a focusing function over a range of
-axis positions. The focus function and its computation time are crucial to the accuracy and efficiency of the system. Sixteen focusing algorithms were analyzed for histological and histopathological images. In terms of accuracy, results have shown an overall high performance by most of the methods. However, we included in the evaluation study other criteria such as computational cost and focusing curve shape which are crucial for real-time applications and were used to highlight the best practices. |
| doi_str_mv | 10.1117/1.JBO.17.3.036008 |
| format | article |
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However, we included in the evaluation study other criteria such as computational cost and focusing curve shape which are crucial for real-time applications and were used to highlight the best practices.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>anatomical pathology</subject><subject>autofocusing</subject><subject>Brain - pathology</subject><subject>Computational efficiency</subject><subject>Criteria</subject><subject>Focusing</subject><subject>Histological Techniques - methods</subject><subject>histopathology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Light</subject><subject>Lung - pathology</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Microscopy</subject><subject>Microscopy - instrumentation</subject><subject>Microscopy - methods</subject><subject>Pathology</subject><subject>Pathology - instrumentation</subject><subject>Pathology - methods</subject><subject>Prostate - pathology</subject><issn>1083-3668</issn><issn>1560-2281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkT1PwzAQhi0EoqXwA1hQRpaEO9txnLFUlA9VKgPMkZPYbVBahzhB6r_HJaVrF_uV7rlnuJeQW4QIEZMHjN4elxEmEYuACQB5RsYYCwgplXjuM0gWMiHkiFw59wWeEKm4JCNKY6CxEGOSTvvOGlv0LtA_qu5VV9ltYGwb5G21Wnem0nUZbKqita6wzS5oVLe2tV3trsmFUbXTN4d_Qj7nTx-zl3CxfH6dTRdhwWPWhZxynRoD3EAsVJlCClzFZV7mXChgMpdpIctUcU_kqpAmRgm0SHWZG5Q5sAm5H7xNa7977bpsU7lC17Xaatu7DEWSeCdSdhqNOXIKHj-NgocFZ3KP4oDub-BabbKmrTaq3Xko2_eQYeZ7yHxg2dCD37k76Pt8o8vjxv_hPUAHwDWVPo695n2-9D0BJvsX2OD7y8h-AddKkIQ</recordid><startdate>20120301</startdate><enddate>20120301</enddate><creator>Redondo, Rafael</creator><creator>Bueno, Gloria</creator><creator>Valdiviezo, Juan Carlos</creator><creator>Nava, Rodrigo</creator><creator>Cristo´bal, Gabriel</creator><creator>De´niz, Oscar</creator><creator>Garci´a-Rojo, Marcial</creator><creator>Salido, Jesus</creator><creator>Ferna´ndez, Maria del Milagro</creator><creator>Vidal, Juan</creator><creator>Escalante-Rami´rez, Boris</creator><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>7X8</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope></search><sort><creationdate>20120301</creationdate><title>Autofocus evaluation for brightfield microscopy pathology</title><author>Redondo, Rafael ; Bueno, Gloria ; Valdiviezo, Juan Carlos ; Nava, Rodrigo ; Cristo´bal, Gabriel ; De´niz, Oscar ; Garci´a-Rojo, Marcial ; Salido, Jesus ; Ferna´ndez, Maria del Milagro ; Vidal, Juan ; Escalante-Rami´rez, Boris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-424e9ff04f056ad90904a5dbdb46a038b89c8d9a404fbac8f51802c9edbf18b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>anatomical pathology</topic><topic>autofocusing</topic><topic>Brain - pathology</topic><topic>Computational efficiency</topic><topic>Criteria</topic><topic>Focusing</topic><topic>Histological Techniques - methods</topic><topic>histopathology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Light</topic><topic>Lung - pathology</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Microscopy</topic><topic>Microscopy - instrumentation</topic><topic>Microscopy - methods</topic><topic>Pathology</topic><topic>Pathology - instrumentation</topic><topic>Pathology - methods</topic><topic>Prostate - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Redondo, Rafael</creatorcontrib><creatorcontrib>Bueno, Gloria</creatorcontrib><creatorcontrib>Valdiviezo, Juan Carlos</creatorcontrib><creatorcontrib>Nava, Rodrigo</creatorcontrib><creatorcontrib>Cristo´bal, Gabriel</creatorcontrib><creatorcontrib>De´niz, Oscar</creatorcontrib><creatorcontrib>Garci´a-Rojo, Marcial</creatorcontrib><creatorcontrib>Salido, Jesus</creatorcontrib><creatorcontrib>Ferna´ndez, Maria del Milagro</creatorcontrib><creatorcontrib>Vidal, Juan</creatorcontrib><creatorcontrib>Escalante-Rami´rez, Boris</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of Biomedical Optics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Redondo, Rafael</au><au>Bueno, Gloria</au><au>Valdiviezo, Juan Carlos</au><au>Nava, Rodrigo</au><au>Cristo´bal, Gabriel</au><au>De´niz, Oscar</au><au>Garci´a-Rojo, Marcial</au><au>Salido, Jesus</au><au>Ferna´ndez, Maria del Milagro</au><au>Vidal, Juan</au><au>Escalante-Rami´rez, Boris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Autofocus evaluation for brightfield microscopy pathology</atitle><jtitle>Journal of Biomedical Optics</jtitle><addtitle>J Biomed Opt</addtitle><date>2012-03-01</date><risdate>2012</risdate><volume>17</volume><issue>3</issue><spage>036008</spage><epage>036008</epage><pages>036008-036008</pages><issn>1083-3668</issn><eissn>1560-2281</eissn><coden>JBOPFO</coden><abstract>An essential and indispensable component of automated microscopy framework is the automatic focusing system, which determines the in-focus position of a given field of view by searching the maximum value of a focusing function over a range of
-axis positions. The focus function and its computation time are crucial to the accuracy and efficiency of the system. Sixteen focusing algorithms were analyzed for histological and histopathological images. In terms of accuracy, results have shown an overall high performance by most of the methods. However, we included in the evaluation study other criteria such as computational cost and focusing curve shape which are crucial for real-time applications and were used to highlight the best practices.</abstract><cop>United States</cop><pmid>22502566</pmid><doi>10.1117/1.JBO.17.3.036008</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| issn | 1083-3668 1560-2281 |
| language | eng |
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| source | SPIE Digital Library (Journals); PubMed Central |
| subjects | Accuracy Algorithms anatomical pathology autofocusing Brain - pathology Computational efficiency Criteria Focusing Histological Techniques - methods histopathology Humans Image Processing, Computer-Assisted Light Lung - pathology Male Mathematical analysis Mathematical models Microscopy Microscopy - instrumentation Microscopy - methods Pathology Pathology - instrumentation Pathology - methods Prostate - pathology |
| title | Autofocus evaluation for brightfield microscopy pathology |
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