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

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.

Grantor dc:publisher.institution

Department of Human Biology

Year dc:date.issued

2011

Author dc:creator

• Sarala, Devi Krishna

Advisor dc:contributor.advisor

• Douglas, Tania S

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/11427/11360

OAI identifier oai:identifier

oai:open.uct.ac.za:11427/11360