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Digital holographic microscopy with automated detection of red blood cells
Dissertation (MSc)--University of Pretoria, 2017.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2017
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| _version_ | 1867613698578710528 |
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| access_status_str | Open Access |
| author2 | Engelbrecht, Andries P. |
| author_browse | Engelbrecht, Andries P. |
| author_facet | Engelbrecht, Andries P. |
| collection | Thesis |
| dc_rights_str_mv | © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 2017. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/61032 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:17.184Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/61032 Digital holographic microscopy with automated detection of red blood cells Engelbrecht, Andries P. thegaran.naidoo@gmail.com Naidoo, Thegaran Digital holography Computer vision Machine learning Image processing UCTD Engineering, built environment and information technology theses SDG-03 Engineering, built environment and information technology theses SDG-09 Dissertation (MSc)--University of Pretoria, 2017. The digital in-line holographic configuration is motivated by the goal of developing a portable, cost effective sensor system for pre-screening patient blood samples. The theory of holography is explained from the foundational concepts in scalar diffraction theory all the way through to the implementation of reconstruction algorithms. Methods for the enhancement of holographic reconstructions are described. The algorithms that perform an automated count of the reconstructed objects are described and demonstrated. Simulated and experimental results are provided. Together, the lens-free holographic microscopy of micro-sized particles along with the application of image processing techniques for the automated detection and counting of objects of interest, provide a component towards realising a sensor system that can be used for pre-screening patient blood samples. CSIR bs2026 Computer Science MSc Unrestricted SDG-03: Good health and well-being SDG-09: Industry, innovation and infrastructure 2017-06-12T10:01:55Z 2017-06-12T10:01:55Z 2017-05 2017 Dissertation Naidoo, T 2017, Digital holographic microscopy with automated detection of red blood cells, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/61032> S2017 http://hdl.handle.net/2263/61032 en © 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Digital holography Computer vision Machine learning Image processing UCTD Engineering, built environment and information technology theses SDG-03 Engineering, built environment and information technology theses SDG-09 Digital holographic microscopy with automated detection of red blood cells |
| title | Digital holographic microscopy with automated detection of red blood cells |
| title_full | Digital holographic microscopy with automated detection of red blood cells |
| title_fullStr | Digital holographic microscopy with automated detection of red blood cells |
| title_full_unstemmed | Digital holographic microscopy with automated detection of red blood cells |
| title_short | Digital holographic microscopy with automated detection of red blood cells |
| title_sort | digital holographic microscopy with automated detection of red blood cells |
| topic | Digital holography Computer vision Machine learning Image processing UCTD Engineering, built environment and information technology theses SDG-03 Engineering, built environment and information technology theses SDG-09 |
| url | http://hdl.handle.net/2263/61032 |