Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection

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dc.contributor.advisorDouglas, Tania Sen_ZA
dc.contributor.authorSarala, Devi Krishnaen_ZA
dc.date.accessioned2015-01-05T06:50:41Z
dc.date.available2015-01-05T06:50:41Z
dc.date.issued2011en_ZA
dc.description.abstractAutomated microscopy for the detection of tuberculosis (TB) in sputum smears would reduce the load on technicians, especially in countries with a high TB burden. This dissertation reports on the development and testing of an automated system built around a conventional microscope for the detection of TB in Ziehl-Neelsen (ZN) stained sputum smears. Microscope auto-focusing, image analysis and stage movement were integrated. Images were captured at 40x magnification.en_ZA
dc.identifier.apacitationSarala, D. K. (2011). <i>Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology. Retrieved from http://hdl.handle.net/11427/11360en_ZA
dc.identifier.chicagocitationSarala, Devi Krishna. <i>"Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2011. http://hdl.handle.net/11427/11360en_ZA
dc.identifier.citationSarala, D. 2011. Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Sarala, Devi Krishna AB - Automated microscopy for the detection of tuberculosis (TB) in sputum smears would reduce the load on technicians, especially in countries with a high TB burden. This dissertation reports on the development and testing of an automated system built around a conventional microscope for the detection of TB in Ziehl-Neelsen (ZN) stained sputum smears. Microscope auto-focusing, image analysis and stage movement were integrated. Images were captured at 40x magnification. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection TI - Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection UR - http://hdl.handle.net/11427/11360 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11360
dc.identifier.vancouvercitationSarala DK. Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11360en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Human Biologyen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMedicineen_ZA
dc.titleHardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detectionen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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