Image fusion for autofocusing in fluorescence microscopy for tuberculosis screening

Automatic microscopy for screening of sputum smears for tuberculosis would reduce the reliance on technicians in heavily burdened laboratories in poorly-resourced countries. Autofocusing is a key component of automated microscopy. We investigate the use of wavelet-based image fusion for automatic fo...

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Hauptverfasser:	Dendere, R, Osibote, O A, Krishnan, S, Douglas, T S
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Autofocus Fluorescence Focusing Frequency domain analysis Hausdorff distance Image fusion Image segmentation Microscopy Mycobacterium tuberculosis Pixel segmentation wavelet
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creator	Dendere, R Osibote, O A Krishnan, S Douglas, T S
description	Automatic microscopy for screening of sputum smears for tuberculosis would reduce the reliance on technicians in heavily burdened laboratories in poorly-resourced countries. Autofocusing is a key component of automated microscopy. We investigate the use of wavelet-based image fusion for automatic focusing of sputum smear slides as a component of automated fluorescence microscopy to identify Mycobacterium tuberculosis. We use manual focusing as ground truth for assessing the performance of the algorithm. Image fusion produces images with a degree of focus comparable to that of a human operator.
doi_str_mv	10.1109/ISBI.2011.5872658
format	Conference Proceeding
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Image fusion produces images with a degree of focus comparable to that of a human operator.</description><subject>Autofocus</subject><subject>Fluorescence</subject><subject>Focusing</subject><subject>Frequency domain analysis</subject><subject>Hausdorff distance</subject><subject>Image fusion</subject><subject>Image segmentation</subject><subject>Microscopy</subject><subject>Mycobacterium tuberculosis</subject><subject>Pixel</subject><subject>segmentation</subject><subject>wavelet</subject><issn>1945-7928</issn><issn>1945-8452</issn><isbn>1424441277</isbn><isbn>9781424441273</isbn><isbn>1424441285</isbn><isbn>9781424441280</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkMtOwzAQRc1LopR-AGKTH0jwY_zIEqoCkSqxKKwr1xlXRklc2c2if08ElZjNSOfOHV1dQh4YrRij9VOzeWkqThmrpNFcSXNB7hhwAGDcyEsyYzXI0oDkV_-C1tdnQdfc3JJFzt90Gg0gKMzIpuntHgs_5hCHwsdU2PEYfXQTGPZFmFg3xoTZ4eCw6INLMbt4OP3eHscdJjd2MYdcZJcQh8l1T2687TIuzntOvl5Xn8v3cv3x1iyf12VgWh5LkIIZ7pRA5K3SFuxuSmVBoeaoxE5L1pqWUWpqb4XypoYWURnqTG08CjEnj39_AyJuDyn0Np2253LED--HVW4</recordid><startdate>201103</startdate><enddate>201103</enddate><creator>Dendere, R</creator><creator>Osibote, O A</creator><creator>Krishnan, S</creator><creator>Douglas, T S</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201103</creationdate><title>Image fusion for autofocusing in fluorescence microscopy for tuberculosis screening</title><author>Dendere, R ; Osibote, O A ; Krishnan, S ; Douglas, T S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-453182c63ee2d67a4ab744a46e72e63b751d8d10089fa36f894dee680c898fe33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Autofocus</topic><topic>Fluorescence</topic><topic>Focusing</topic><topic>Frequency domain analysis</topic><topic>Hausdorff distance</topic><topic>Image fusion</topic><topic>Image segmentation</topic><topic>Microscopy</topic><topic>Mycobacterium tuberculosis</topic><topic>Pixel</topic><topic>segmentation</topic><topic>wavelet</topic><toplevel>online_resources</toplevel><creatorcontrib>Dendere, R</creatorcontrib><creatorcontrib>Osibote, O A</creatorcontrib><creatorcontrib>Krishnan, S</creatorcontrib><creatorcontrib>Douglas, T S</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dendere, R</au><au>Osibote, O A</au><au>Krishnan, S</au><au>Douglas, T S</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image fusion for autofocusing in fluorescence microscopy for tuberculosis screening</atitle><btitle>2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro</btitle><stitle>ISBI</stitle><date>2011-03</date><risdate>2011</risdate><spage>1383</spage><epage>1386</epage><pages>1383-1386</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>1424441277</isbn><isbn>9781424441273</isbn><eisbn>1424441285</eisbn><eisbn>9781424441280</eisbn><abstract>Automatic microscopy for screening of sputum smears for tuberculosis would reduce the reliance on technicians in heavily burdened laboratories in poorly-resourced countries. Autofocusing is a key component of automated microscopy. We investigate the use of wavelet-based image fusion for automatic focusing of sputum smear slides as a component of automated fluorescence microscopy to identify Mycobacterium tuberculosis. We use manual focusing as ground truth for assessing the performance of the algorithm. Image fusion produces images with a degree of focus comparable to that of a human operator.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2011.5872658</doi><tpages>4</tpages></addata></record>
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Autofocus Fluorescence Focusing Frequency domain analysis Hausdorff distance Image fusion Image segmentation Microscopy Mycobacterium tuberculosis Pixel segmentation wavelet
title	Image fusion for autofocusing in fluorescence microscopy for tuberculosis screening
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