{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/3198"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/3198","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears","abstract":"The World Health Organisation (WHO) has declared that tuberculosis (TB) is a global emergency. With the common combination of TB and AIDS in sub-Saharan Africa, the number of people dying from TB has increased enormously (WHO, 1996). The smart microscope that is under development in the MRC/UCT Medical Imaging Research Unit would considerably aid the fast detection and tracking of TB. The microscope will automatically detect the presence of TB bacilli in Ziehl-Neelsen (ZN) stained sputum smears. The microscope consists of a digital camera, motorised stages, and will have an on-board processor containing the algorithms for autofocusing the microscope and for automatically identifying TB bacteria on the slides. This thesis deals with autofocusing the microscope and segmenting TB bacilli from focused sputum smear images.","abstract_html":"The World Health Organisation (WHO) has declared that tuberculosis (TB) is a global emergency. With the common combination of TB and AIDS in sub-Saharan Africa, the number of people dying from TB has increased enormously (WHO, 1996). The smart microscope that is under development in the MRC/UCT Medical Imaging Research Unit would considerably aid the fast detection and tracking of TB. The microscope will automatically detect the presence of TB bacilli in Ziehl-Neelsen (ZN) stained sputum smears. The microscope consists of a digital camera, motorised stages, and will have an on-board processor containing the algorithms for autofocusing the microscope and for automatically identifying TB bacteria on the slides. This thesis deals with autofocusing the microscope and segmenting TB bacilli from focused sputum smear images.","abstract_has_math":false,"creators":["Russell, Megan J"],"institution":"Department of Human Biology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Douglas, Tania S"],"committee_chairs":[],"committee_members":[],"year":2006,"date_issued":"2006","date_published":"2006","updated_at":"2026-07-24T01:33:54Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/3198","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Douglas, Tania S"]},{"key":"dc:creator","label":"Author","values":["Russell, Megan J"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-07-28T18:14:26Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-07-28T18:14:26Z"]},{"key":"dc:date.issued","label":"Date","values":["2006"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Human Biology"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MSc"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/3198"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Includes bibliographical references (leaves 89-92)."]},{"key":"dc:description.abstract","label":"Abstract","values":["The World Health Organisation (WHO) has declared that tuberculosis (TB) is a global emergency. With the common combination of TB and AIDS in sub-Saharan Africa, the number of people dying from TB has increased enormously (WHO, 1996). The smart microscope that is under development in the MRC/UCT Medical Imaging Research Unit would considerably aid the fast detection and tracking of TB. The microscope will automatically detect the presence of TB bacilli in Ziehl-Neelsen (ZN) stained sputum smears. The microscope consists of a digital camera, motorised stages, and will have an on-board processor containing the algorithms for autofocusing the microscope and for automatically identifying TB bacteria on the slides. This thesis deals with autofocusing the microscope and segmenting TB bacilli from focused sputum smear images."]},{"key":"dc:title","label":"Title","values":["Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears"]}]}],"canonical_facts":{"dc:contributor.advisor":["Douglas, Tania S"],"dc:creator":["Russell, Megan J"],"dc:date.accessioned":["2014-07-28T18:14:26Z"],"dc:date.available":["2014-07-28T18:14:26Z"],"dc:date.issued":["2006"],"dc:description":["Includes bibliographical references (leaves 89-92)."],"dc:description.abstract":["The World Health Organisation (WHO) has declared that tuberculosis (TB) is a global emergency. With the common combination of TB and AIDS in sub-Saharan Africa, the number of people dying from TB has increased enormously (WHO, 1996). The smart microscope that is under development in the MRC/UCT Medical Imaging Research Unit would considerably aid the fast detection and tracking of TB. The microscope will automatically detect the presence of TB bacilli in Ziehl-Neelsen (ZN) stained sputum smears. The microscope consists of a digital camera, motorised stages, and will have an on-board processor containing the algorithms for autofocusing the microscope and for automatically identifying TB bacteria on the slides. This thesis deals with autofocusing the microscope and segmenting TB bacilli from focused sputum smear images."],"dc:identifier.uri":["http://hdl.handle.net/11427/3198"],"dc:language.iso":["eng"],"dc:publisher.department":["Department of Human Biology"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MSc"]},"updated_at":"2026-07-24T01:33:54Z"}