Digital holographic microscopy with automated detection of red blood cells

dc.contributor.advisorEngelbrecht, Andries P.
dc.contributor.emailthegaran.naidoo@gmail.comen_ZA
dc.contributor.postgraduateNaidoo, Thegaran
dc.date.accessioned2017-06-12T10:01:55Z
dc.date.available2017-06-12T10:01:55Z
dc.date.created2017-05
dc.date.issued2017
dc.descriptionDissertation (MSc)--University of Pretoria, 2017.en_ZA
dc.description.abstractThe 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.availabilityUnrestricteden_ZA
dc.description.degreeMScen_ZA
dc.description.departmentComputer Scienceen_ZA
dc.description.sponsorshipCSIRen_ZA
dc.identifier.citationNaidoo, 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.otherS2017
dc.identifier.urihttp://hdl.handle.net/2263/61032
dc.language.isoenen_ZA
dc.publisherUniversity 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.subjectDigital holographyen_ZA
dc.subjectComputer visionen_ZA
dc.subjectMachine learningen_ZA
dc.subjectImage processingen_ZA
dc.subjectUCTD
dc.titleDigital holographic microscopy with automated detection of red blood cellsen_ZA
dc.typeDissertationen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Naidoo_Digital_2017.pdf
Size:
20.78 MB
Format:
Adobe Portable Document Format
Description:
Dissertation

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: