ArticleDiagnostics (Basel, Switzerland)2021
Evaluation of MicroScan Bacterial Identification Panels for Low-Resource Settings.
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Bacterial pathogens and antimicrobial resistance patterns in infections associated with stillbirths and under-five deaths in Ethiopia: a post-mortem surveillance study.BMC infectious diseases · 2026Article
- Antimicrobial Resistance, Virulence Factors and Plasmid Replicon Patterns ofAntibiotics (Basel, Switzerland) · 2026Article
- Experimental phage evolution results in expanded host ranges against antibiotic resistant Klebsiella pneumoniae isolates.Nature communications · 2025Article
- Label-free phenotypic antimicrobial susceptibility testing on microfluidic platforms: a review of advances and translation.Mikrochimica acta · 2025Review
- A Focused Review on Commercially Available Automated Systems for Antibiotic Susceptibility Testing.Journal of tropical medicine · 2025Review
- Simple Imaging System for Label-Free Identification of Bacterial Pathogens in Resource-Limited Settings.International journal of biomedical imaging · 2024Article
- Carbapenemase-Producing Bacteria Isolated from ICU Patients of a Peruvian Government Hospital during the COVID-19 Pandemic: A Descriptive Analysis.Medicina (Kaunas, Lithuania) · 2023Article
- Validation of Three MicroScanDiagnostics (Basel, Switzerland) · 2022Article
- Comparison of Zinc Concentrations in the Broth of Commercial Automated Susceptibility Testing Devices (Vitek 2, MicroScan, BD Phoenix, and Sensititre).Microbiology spectrum · 2022Article
- Identification and Characterization of a NewFrontiers in microbiology · 2022Article
- Paradigm Shift in Antimicrobial Resistance Pattern of Bacterial Isolates during the COVID-19 Pandemic.Antibiotics (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial identification is challenging in low-resource settings (LRS). We evaluated the MicroScan identification panels (Beckman Coulter, Brea, CA, USA) as part of Médecins Sans Frontières' Mini-lab Project. The MicroScan Dried Overnight Positive ID Type 3 (PID3) panels for Gram-positive organisms and Dried Overnight Negative ID Type 2 (NID2) panels for Gram-negative organisms were assessed with 367 clinical isolates from LRS. Robustness was studied by inoculating Gram-negative species on the Gram-positive panel and vice versa. The ease of use of the panels and readability of the instructions for use (IFU) were evaluated. Of species represented in the MicroScan database, 94.6% (185/195) of Gram-negative and 85.9% (110/128) of Gram-positive isolates were correctly identified up to species level. Of species not represented in the database (e.g.,
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