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Label-free, high-throughput detection of P. falciparum infection in sphered erythrocytes with digital holographic microscopy

  • Matthias Ugele
  • , Markus Weniger
  • , Maria Leidenberger
  • , Yiwei Huang
  • , Michael Bassler
  • , Oliver Friedrich
  • , Barbara Kappes
  • , Oliver Hayden
  • , Lukas Richter
  • Siemens AG
  • Friedrich-Alexander Universitat Erlangen-Nurnberg (FAU)
  • Fraunhofer Institute for Chemical Technology ICT

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

Effective malaria treatment requires rapid and accurate diagnosis of infecting species and actual parasitemia. Despite the recent success of rapid tests, the analysis of thick and thin blood smears remains the gold standard for routine malaria diagnosis in endemic areas. For non-endemic regions, sample preparation and analysis of blood smears are an issue due to low microscopy expertise and few cases of imported malaria. Automation of microscopy results could be beneficial to quickly confirm suspected infections in such conditions. Here, we present a label-free, high-throughput method for early malaria detection with the potential to reduce inter-observer variation by reducing sample preparation and analysis effort. We used differential digital holographic microscopy in combination with two-dimensional hydrodynamic focusing for the label-free detection of P. falciparum infection in sphered erythrocytes, with a parasitemia detection limit of 0.01%. Moreover, the achieved differentiation of P. falciparum ring-, trophozoite- and schizont life cycle stages in synchronized cultures demonstrates the potential for future discrimination of even malaria species.

Original languageEnglish
Pages (from-to)1704-1712
Number of pages9
JournalLab on a Chip
Volume18
Issue number12
DOIs
StatePublished - 21 Jun 2018

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

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