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Towards automatic smartphone analysis for point-of-care microarray assays
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Biology Education Centre.
2016 (English)Independent thesis Advanced level (professional degree), 300 HE creditsStudent thesis
Abstract [en]

Poverty and long distances are two reasons why some people in the third world countries hasdifficulties seeking medical help. A solution to the long distances could be if the medical carewas more mobile and diagnostically tests could be performed on site in villages. A new pointof-care test based on a small blood shows promising results both in run time and mobility.However, the method still needs more advanced equipment for analysis of the resultingmicroarray. This study has investigated the potential to perform the analysis within asmartphone application, performing all steps from image capturing to a diagnostic result. Theproject was approach in two steps, starting with implementation and selection of imageanalysis methods and finishing with implementing those results into an Android application.A final application was not developed, but the results gained from this project indicates that asmartphone processing power is enough to perform heavy image analysis within a sufficientamount of time. It also imply that the resolution in the evaluated images taken with a Nexus 6together with an external macro lens most likely is enough for the whole analysis, but furtherwork must be done to ensure it.

Place, publisher, year, edition, pages
2016. , 60 p.
Series
UPTEC X, 17
Keyword [en]
point-of-care, microarray, image analysis, moment invariants, hu's moments, image rotation, android, smartphone application, allergen
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-280663OAI: oai:DiVA.org:uu-280663DiVA: diva2:911559
Educational program
Molecular Biotechnology Engineering Programme
Supervisors
Examiners
Available from: 2016-03-16 Created: 2016-03-13 Last updated: 2016-04-05Bibliographically approved

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Medical Image Processing

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association
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Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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Output format
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