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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 o...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Human Biology
2015
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| _version_ | 1867613140026392576 |
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| access_status_str | Open Access |
| author | Sarala, Devi Krishna |
| author2 | Douglas, Tania S |
| author_browse | Douglas, Tania S Sarala, Devi Krishna |
| author_facet | Douglas, Tania S Sarala, Devi Krishna |
| author_sort | Sarala, Devi Krishna |
| collection | Thesis |
| description | 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. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11360 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:24.573Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Department of Human Biology |
| publisherStr | Department of Human Biology |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/11360 Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection Sarala, Devi Krishna Douglas, Tania S Medicine 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. 2015-01-05T06:50:41Z 2015-01-05T06:50:41Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/11360 eng application/pdf Department of Human Biology Faculty of Health Sciences University of Cape Town |
| spellingShingle | Medicine Sarala, Devi Krishna Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection |
| thesis_degree_str | Master's |
| title | Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection |
| title_full | Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection |
| title_fullStr | Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection |
| title_full_unstemmed | Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection |
| title_short | Hardware and software integration and testing for the automation of bright-field microscopy for tuberculosis detection |
| title_sort | hardware and software integration and testing for the automation of bright field microscopy for tuberculosis detection |
| topic | Medicine |
| url | http://hdl.handle.net/11427/11360 |
| work_keys_str_mv | AT saraladevikrishna hardwareandsoftwareintegrationandtestingfortheautomationofbrightfieldmicroscopyfortuberculosisdetection |