ArticleBiosensors & bioelectronics2025
Label-free rapid antimicrobial susceptibility testing with machine-learning based dynamic holographic laser speckle imaging.
Article in Biosensors & bioelectronics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Combating antimicrobial resistance through multimodal data via artificial intelligence.One health (Amsterdam, Netherlands) · 2026Review
- Quantum-Dot-Based Enzyme Biosensor for Rapid Screening of Antibiotic Susceptibility in Urine Samples.ACS omega · 2026Article
- Rapid antifungal phenotypic detection ofFrontiers in cellular and infection microbiology · 2026Article
- Portable Dynamic Laser Speckle Imaging for Rapid Antimicrobial Susceptibility Testing.ECS sensors plus · 2025Article
- Light scattering-based screening method for rapid evaluating antibiotic effects on bacteria using laser speckle imaging.Journal of biological engineering · 2025Article
- Classification of Microbial Activity and Inhibition Zones Using Neural Network Analysis of Laser Speckle Images.Sensors (Basel, Switzerland) · 2025Article
- A Focused Review on Commercially Available Automated Systems for Antibiotic Susceptibility Testing.Journal of tropical medicine · 2025Review
- Advancements in AI-driven drug sensitivity testing research.Frontiers in cellular and infection microbiology · 2025Review
- Application of matrix-assisted laser desorption ionization time-of-flight mass spectrometry in the detection of vancomycin-resistant and-susceptibleFrontiers in microbiology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Antimicrobial resistance (AMR) presents a significant global challenge, creating an urgent need for rapid and sensitive antimicrobial susceptibility testing (AST) methods to guide timely treatment decisions. Traditional AST techniques, such as broth microdilution, disk diffusion, and gradient diffusion assays, require extended incubation times, delaying critical therapeutic interventions. In this study, we present a dynamic holographic laser speckle imaging (DhLSI) system, coupled with machine learning algorithms, for rapid assessment of bacterial susceptibility upon antibiotic treatment. Our method operates by utilizing a reference beam to enhance the detection of weak scattering signals, capable of performing AST at bacterial concentrations as low as 10
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Registered trials
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.