Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

7.0K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
7.0K
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

792
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
792
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

612
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
612
Machines01:19

Machines

581
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
581
Machines: Problem Solving II01:30

Machines: Problem Solving II

677
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
677
Machines: Problem Solving I01:22

Machines: Problem Solving I

722
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
722

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correction: Combined ACEI and ARB therapy and ICU mortality in critically ill COVID-19 patients: a retrospective cohort study.

Frontiers in pharmacology·2026
Same author

A systematic review of machine learning on clinical MALDI-TOF MS.

Briefings in bioinformatics·2026
Same author

Chronic lymphocytic leukemia with <i>IGH</i>::<i>BCL3</i>-translocation is characterized by a homogeneous and distinct genetic and epigenetic landscape.

HemaSphere·2026
Same author

Prediction of KPC-producing <i>Klebsiella pneumoniae</i> by MALDI-TOF MS, ensemble learning, and spectral peak annotation.

Journal of clinical microbiology·2026
Same author

Combined ACEI and ARB therapy and ICU mortality in critically ill COVID-19 patients: a retrospective cohort study.

Frontiers in pharmacology·2026
Same author

Transcatheter aortic valve-in-mechanical valve replacement: a first-in-human study.

European heart journal·2026

Related Experiment Video

Updated: Feb 11, 2026

Rapid Identification of Gram Negative Bacteria from Blood Culture Broth Using MALDI-TOF Mass Spectrometry
13:29

Rapid Identification of Gram Negative Bacteria from Blood Culture Broth Using MALDI-TOF Mass Spectrometry

Published on: May 28, 2014

25.1K

Toward Robust Machine Learning Models for MALDI-TOF MS: Novel Approaches for Mycobacterium abscessus Subspecies

Erica Padial-Fuillerat1,2,3, Juan E Martínez-Manjón2,3, Igor Zwir2,3

  • 1Clover Bioanalytical Software S.L, Granada 18016, Spain.

Journal of Proteome Research
|February 9, 2026
PubMed
Summary

This study enhances Mycobacterium abscessus subspecies identification using MALDI-TOF mass spectrometry and machine learning. The combined approach achieves high accuracy, improving diagnostics and guiding antimicrobial therapy selection.

Keywords:
AMRMALDI-TOFbatch effectfeature selectionmachine learningmycobacteriumrobust biomarkers

More Related Videos

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
06:34

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

20.6K
Deciphering and Imaging Pathogenesis and Cording of Mycobacterium abscessus in Zebrafish Embryos
10:38

Deciphering and Imaging Pathogenesis and Cording of Mycobacterium abscessus in Zebrafish Embryos

Published on: September 9, 2015

11.0K

Related Experiment Videos

Last Updated: Feb 11, 2026

Rapid Identification of Gram Negative Bacteria from Blood Culture Broth Using MALDI-TOF Mass Spectrometry
13:29

Rapid Identification of Gram Negative Bacteria from Blood Culture Broth Using MALDI-TOF Mass Spectrometry

Published on: May 28, 2014

25.1K
Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
06:34

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

20.6K
Deciphering and Imaging Pathogenesis and Cording of Mycobacterium abscessus in Zebrafish Embryos
10:38

Deciphering and Imaging Pathogenesis and Cording of Mycobacterium abscessus in Zebrafish Embryos

Published on: September 9, 2015

11.0K

Area of Science:

  • Microbiology
  • Computational Biology
  • Analytical Chemistry

Background:

  • Distinguishing Mycobacterium abscessus subspecies is diagnostically challenging due to genetic similarity and platform variability.
  • Accurate subspecies identification is crucial for effective treatment and infection control of Mycobacterium abscessus complex (MAC) infections.

Purpose of the Study:

  • To develop and validate an advanced analytical framework for accurate discrimination of Mycobacterium abscessus subspecies.
  • To improve the diagnostic performance of MALDI-TOF MS combined with machine learning for clinical microbiology.

Main Methods:

  • Utilized matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry data from 325 spectra profiles across European hospitals.
  • Implemented a machine learning pipeline involving data harmonization, feature selection (Boruta), class balancing (centroid clustering), and classification (SVM with ComBat correction).
  • Employed SHAP (SHapley Additive exPlanations) to validate the biological significance of spectral features.

Main Results:

  • The best-performing model achieved 97% F1 score and 97.17% AUC-ROC, significantly improving subspecies discrimination.
  • Most models demonstrated enhanced performance with the integrated approach, showing high geometric mean (GEO) and index balanced accuracy (IBA) metrics (>0.90).
  • SHAP analysis confirmed the biological relevance of selected features, particularly enhancing the discrimination of Mycobacterium abscessus subsp. bolletii.

Conclusions:

  • The developed MALDI-TOF MS and machine learning framework offers a scalable and accurate solution for Mycobacterium abscessus subspecies classification.
  • This approach advances microbial diagnostics, enabling more precise identification and supporting targeted antimicrobial therapy selection.
  • The study highlights the potential of integrating advanced computational methods with mass spectrometry for complex bacterial identification challenges.