Evidence map›Paper›PMID 39606275›Full record

ArticleInternational journal of biomedical imaging2024

Simple Imaging System for Label-Free Identification of Bacterial Pathogens in Resource-Limited Settings.

Clément Douarre, Dylan David, Marco Fangazio, Emmanuel Picard, Emmanuel Hadji, Olivier Vandenberg, Barbara Barbé, Liselotte Hardy, Pierre R Marcoux

Abstract read
In one paragraph

Article in International journal of biomedical imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

9 authors.

Clément DouarreLaboratoire d'Électronique et de Technologie de l'Information, French Alternative Energies and Atomic Energy Commission, Grenoble, France.ORCID https://orcid.org/0000-0002-1763-2528
Dylan DavidInstitut de Recherche Interdisciplinaire de Grenoble, French Alternative Energies and Atomic Energy Commission, Grenoble, France.
Marco FangazioResearch and Technology Innovation Unit, Laboratoire Hospitalier Universitaire de Bruxelles-Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles (ULB), Brussels, Belgium.ORCID https://orcid.org/0000-0001-5414-6134
Emmanuel PicardInstitut de Recherche Interdisciplinaire de Grenoble, French Alternative Energies and Atomic Energy Commission, Grenoble, France.
Emmanuel HadjiInstitut de Recherche Interdisciplinaire de Grenoble, French Alternative Energies and Atomic Energy Commission, Grenoble, France.ORCID https://orcid.org/0000-0001-5740-6018
Olivier VandenbergResearch and Technology Innovation Unit, Laboratoire Hospitalier Universitaire de Bruxelles-Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles (ULB), Brussels, Belgium.ORCID https://orcid.org/0000-0003-0484-4502
Barbara BarbéDepartment of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.ORCID https://orcid.org/0000-0003-4978-3379
Liselotte HardyDepartment of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.ORCID https://orcid.org/0000-0002-8785-5081
Pierre R MarcouxLaboratoire d'Électronique et de Technologie de l'Information, French Alternative Energies and Atomic Energy Commission, Grenoble, France.ORCID https://orcid.org/0000-0003-3855-9662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast, accurate, and affordable bacterial identification methods are paramount for the timely treatment of infections, especially in resource-limited settings (RLS). However, today, only 1.3% of the sub-Saharan African diagnostic laboratories are performing clinical bacteriology. To improve this, diagnostic tools for RLS should prioritize simplicity, affordability, and ease of maintenance, as opposed to the costly equipment utilized for bacterial identification in high-income countries, such as matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). In this work, we present a new high-throughput approach based on a simple wide-field (864 mm

Indexed as

bacterial identificationdeep learninglensless imaging

Identifiers

PMID39606275
PMCPMC11599477

What OpenQuestion holds

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LicenceCC BY
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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.