Digital holographic microscopy with automated detection of red blood cells
dc.contributor.advisor | Engelbrecht, Andries P. | |
dc.contributor.email | thegaran.naidoo@gmail.com | en_ZA |
dc.contributor.postgraduate | Naidoo, Thegaran | |
dc.date.accessioned | 2017-06-12T10:01:55Z | |
dc.date.available | 2017-06-12T10:01:55Z | |
dc.date.created | 2017-05 | |
dc.date.issued | 2017 | |
dc.description | Dissertation (MSc)--University of Pretoria, 2017. | en_ZA |
dc.description.abstract | 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. | en_ZA |
dc.description.availability | Unrestricted | en_ZA |
dc.description.degree | MSc | en_ZA |
dc.description.department | Computer Science | en_ZA |
dc.description.sponsorship | CSIR | en_ZA |
dc.identifier.citation | 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> | en_ZA |
dc.identifier.other | S2017 | |
dc.identifier.uri | http://hdl.handle.net/2263/61032 | |
dc.language.iso | en | en_ZA |
dc.publisher | University of Pretoria | |
dc.rights | © 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. | |
dc.subject | Digital holography | en_ZA |
dc.subject | Computer vision | en_ZA |
dc.subject | Machine learning | en_ZA |
dc.subject | Image processing | en_ZA |
dc.subject | UCTD | |
dc.title | Digital holographic microscopy with automated detection of red blood cells | en_ZA |
dc.type | Dissertation | en_ZA |