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thesis
oaioai:open.uct.ac.za:11427/11360

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

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Publication date
1 January 2011
Publisher
'University of Cape Town'

Abstract

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

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This paper was published in Cape Town University OpenUCT.

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