Evidence map›Paper›PMID 30286150›Full record

ArticlePloS one2018

Imaging & identification of malaria parasites using cellphone microscope with a ball lens.

Temitope E Agbana, Jan-Carel Diehl, Fiona van Pul, Shahid M Khan, Vsevolod Patlan, Michel Verhaegen, Gleb Vdovin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
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  4. Portable sensing devices for smart healthcare and prevention of lead poisoning.Journal of the Chinese Medical Association : JCMA · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Temitope E AgbanaDelft Center for Systems and Controls, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0003-1183-6180
Jan-Carel DiehlDesign for Sustainability, Industrial Design Engineering, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0002-4007-2282
Fiona van PulParasitology and Immunologyparasitology Group, Leiden University Medical Center, Leiden, The Netherlands.
Shahid M KhanParasitology and Immunologyparasitology Group, Leiden University Medical Center, Leiden, The Netherlands.
Vsevolod PatlanFlexible Optical BV, Rijswijk, The Netherlands.
Michel VerhaegenDelft Center for Systems and Controls, Delft University of Technology, Delft, The Netherlands.
Gleb VdovinDelft Center for Systems and Controls, Delft University of Technology, Delft, The Netherlands.
Delft University of Technology · NLLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have optimized the design and imaging procedures, to clearly resolve the malaria parasite in Giemsa-stained thin blood smears, using simple low-cost cellphone-based microscopy with oil immersion. The microscope uses a glass ball as the objective and the phone camera as the tube lens. Our optimization includes the optimal choice of the ball lens diameter, the size and the position of the aperture diaphragm, and proper application of immersion, to achieve diagnostic capacity in a wide field of view. The resulting system is potentially applicable to low-cost in-the-field optical diagnostics of malaria as it clearly resolves micron-sized features and allows for analysis of parasite morphology in the field of 50 × 50 μm, and parasite detection in the field of at least 150 × 150 μm.

Indexed as

LensesAnimalsCell PhoneImage Processing, Computer-AssistedMalaria, FalciparumMicroscopyPlasmodium falciparum

Identifiers

PMID30286150
PMCPMC6171928
OpenAlexW2895464296

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.