AIMC Topic: Bacterial Typing Techniques

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Use of IR Biotyper as a feasible methodology to type .

Microbiology spectrum Oct 6, 2025
UNLABELLED: is one of the most frequently reported healthcare-associated pathogens. The current gold standard approach to perform the epidemiological typing of these bacteria is Whole Genome Sequencing (WGS), which is an expensive and challenging pr...
Klebsiella pneumoniae Klebsiella Infections Spectroscopy, Fourier Transform Infrared Bacterial Typing Techniques Humans Machine Learning
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Integration of MALDI-TOF MS and machine learning to classify enterococci: A comparative analysis of supervised learning algorithms for species prediction.

Food chemistry Aug 20, 2024
This research focused on distinguishing distinct matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) spectral signatures of three Enterococcus species. We evaluated and compared the predictive performance of fo...
Support Vector Machine Machine Learning Enterococcus Supervised Machine Learning Algorithms Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Bacterial Typing Techniques
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Classification of subspecies based on MALDI-TOF MS protein profiles using machine learning models.

Microbiology spectrum Aug 20, 2024
UNLABELLED: is an important bacterial species used as a starter culture for fermented foods; however, two subspecies within this species exhibit different properties in the foods. Matrix-assisted laser desorption/ionization-time of flight mass spect...
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Fermented Foods Latilactobacillus sakei Machine Learning Bacterial Typing Techniques Support Vector Machine Food Microbiology Bacterial Proteins
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Capabilities of GPT-4o and Gemini 1.5 Pro in Gram stain and bacterial shape identification.

Future microbiology Jul 29, 2024
Assessing the visual accuracy of two large language models (LLMs) in microbial classification. GPT-4o and Gemini 1.5 Pro were evaluated in distinguishing Gram-positive from Gram-negative bacteria and classifying them as cocci or bacilli using 80 Gra...
Staining and Labeling Bacteria Staphylococcus aureus Humans Artificial Intelligence Bacterial Typing Techniques Gentian Violet Gram-Negative Bacteria Gram-Positive Bacteria Phenazines
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Prediction of Clonal Complexes from Multilocus Variable Number Tandem Repeat Analysis Patterns Using a Machine Learning Approach.

Foodborne pathogens and disease Jul 4, 2024
Multilocus variable number tandem repeat analysis (MLVA) is a molecular subtyping technique that remains useful for those without the resources to access whole genome sequencing for the tracking and tracing of bacterial contaminants. Unlike technique...
Machine Learning Food Microbiology Listeria monocytogenes Minisatellite Repeats Multilocus Sequence Typing Bacterial Typing Techniques
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Application of machine learning algorithm and modified high resolution DNA melting curve analysis for molecular subtyping of Salmonella isolates from various epidemiological backgrounds in northern Thailand.

World journal of microbiology & biotechnology Jul 2, 2020
Food poisoning from consumption of food contaminated with non-typhoidal Salmonella spp. is a global problem. A modified high resolution DNA melting curve analysis (m-HRMa) was introduced to provide effective discrimination among closely related HRM c...
Nucleic Acid Denaturation Serogroup Serotyping Polymerase Chain Reaction Salmonella Infections Bacterial Typing Techniques DNA Fingerprinting Salmonella Feces Chickens Animals Thailand Phylogeny Machine Learning Algorithms Humans
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Unified Classification of Bacterial Colonies on Different Agar Media Based on Hyperspectral Imaging and Machine Learning.

Molecules (Basel, Switzerland) Apr 14, 2020
A universal method by considering different types of culture media can enable convenient classification of bacterial species. The study combined hyperspectral technology and versatile chemometric algorithms to achieve the rapid and non-destructive cl...
Support Vector Machine Colony Count, Microbial Hyperspectral Imaging Machine Learning Algorithms Bacterial Typing Techniques Models, Theoretical
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Classification of foodborne bacteria using hyperspectral microscope imaging technology coupled with convolutional neural networks.

Applied microbiology and biotechnology Feb 12, 2020
Foodborne pathogens have become ongoing threats in the food industry, whereas their rapid detection and classification at an early stage are still challenging. To address early and rapid detection, hyperspectral microscope imaging (HMI) technology co...
Neural Networks, Computer Machine Learning Algorithms Image Processing, Computer-Assisted Food Microbiology Foodborne Diseases Microscopy Spectrum Analysis Bacterial Typing Techniques
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A Machine Learning-Based Raman Spectroscopic Assay for the Identification of and Related Species.

Molecules (Basel, Switzerland) Dec 10, 2019
, the causative agent of glanders, and , the causative agent of melioidosis in humans and animals, are genetically closely related. The high infectious potential of both organisms, their serological cross-reactivity, and similar clinical symptoms in ...
Workflow Bacterial Typing Techniques Humans Burkholderia mallei Machine Learning Spectrum Analysis, Raman Cluster Analysis
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Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.

Nature communications Oct 30, 2019
Raman optical spectroscopy promises label-free bacterial detection, identification, and antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds and accuracies remains challenging due to weak Raman signal from...
Principal Component Analysis Pseudomonas aeruginosa Salmonella enterica Bacteria Methicillin-Resistant Staphylococcus aureus Logistic Models Deep Learning Bacterial Typing Techniques Candida Spectrum Analysis, Raman Support Vector Machine Humans Microbial Sensitivity Tests Proteus mirabilis Bacterial Infections Klebsiella Escherichia coli Single-Cell Analysis Neural Networks, Computer Staphylococcus aureus Enterococcus Anti-Bacterial Agents Streptococcus
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