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Open Access
Peer-reviewed
Research Article
A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy
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Oscar Holmström ,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: oscar.holmstrom@helsinki.fi
Affiliation Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
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Sebastian Stenman,
Roles Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing
Affiliation Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
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Antti Suutala,
Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Writing – review & editing
Affiliation Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
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Hannu Moilanen,
Roles Conceptualization, Formal analysis, Methodology, Resources, Writing – review & editing
Affiliation Center of Microscopy and Nanotechnology, University of Oulu, Oulu, Finland
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Hakan Kücükel,
Roles Formal analysis, Investigation, Software, Writing – review & editing
Affiliation Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
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Billy Ngasala,
Roles Conceptualization, Methodology, Project administration, Writing – review & editing
Affiliations Department of Women’s and Children’s Health, International Maternal and Child Health (IMCH), Uppsala University, Uppsala, Sweden, Department of Medical Entomology and Parasitology, School of Public Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
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Andreas Mårtensson,
Roles Conceptualization, Methodology, Project administration, Writing – review & editing
Affiliation Department of Women’s and Children’s Health, International Maternal and Child Health (IMCH), Uppsala University, Uppsala, Sweden
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Lwidiko Mhamilawa,
Roles Conceptualization, Methodology, Writing – review & editing
Affiliations Department of Women’s and Children’s Health, International Maternal and Child Health (IMCH), Uppsala University, Uppsala, Sweden, Department of Medical Entomology and Parasitology, School of Public Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
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Berit Aydin-Schmidt,
Roles Methodology, Writing – review & editing
Affiliation Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Mikael Lundin,
Roles Methodology, Software, Writing – review & editing
Affiliation Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
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Vinod Diwan,
Roles Conceptualization, Methodology, Supervision, Writing – review & editing
Affiliation Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
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Nina Linder,
Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing
Affiliations Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland, Department of Women’s and Children’s Health, International Maternal and Child Health (IMCH), Uppsala University, Uppsala, Sweden
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Johan Lundin
Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – review & editing
Affiliations Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland, Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
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A novel deep learning-based point-of-care diagnostic method for detecting Plasmodium falciparum with fluorescence digital microscopy
- Oscar Holmström,
- Sebastian Stenman,
- Antti Suutala,
- Hannu Moilanen,
- Hakan Kücükel,
- Billy Ngasala,
- Andreas Mårtensson,
- Lwidiko Mhamilawa,
- Berit Aydin-Schmidt,
- Mikael Lundin
- Published: November 17, 2020
- https://doi.org/10.1371/journal.pone.0242355