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Novel image processing approach to detect malaria

  • David Mas
  • , Belen Ferrer
  • , Dan Cojoc
  • , Sara Finaurini
  • , Vicente Mico
  • , Javier Garcia
  • , Zeev Zalevsky
  • University of Alicante
  • National Research Council of Italy
  • University of Valencia

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Abstract In this paper we present a novel image processing algorithm providing good preliminary capabilities for in vitro detection of malaria. The proposed concept is based upon analysis of the temporal variation of each pixel. Changes in dark pixels mean that inter cellular activity happened, indicating the presence of the malaria parasite inside the cell. Preliminary experimental results involving analysis of red blood cells being either healthy or infected with malaria parasites, validated the potential benefit of the proposed numerical approach.

Original languageEnglish
Article number20034
Pages (from-to)13-18
Number of pages6
JournalOptics Communications
Volume350
DOIs
StatePublished - 1 Sep 2015

Bibliographical note

Publisher Copyright:
© 2015 Elsevier B.V. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biomedicine
  • Image processing
  • Malaria detection
  • Microscopy

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