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

Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
What is the Immune System?01:38

What is the Immune System?

Overview
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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...

You might also read

Related Articles

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

Sort by
Same author

Differentiating superficial fungal infection from eczema using a heated dynamic-headspace skin VOC sampler: a hypothesis.

Frontiers in medicine·2026
Same author

Herbacetin as a natural GPR35 agonist for allergic asthma relief via dual regulation of PI3K/Akt/mTOR and MAPK signaling.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

A silicon microneedle array atmospheric pressure plasma ionization source for real-time trace gas chemical analysis.

Microsystems & nanoengineering·2026
Same author

Widespread and Biologically Driven Sex Disparities in Polygenic Risk Prediction Across Complex Traits.

Research square·2026
Same author

Ultrasonic Extraction-Based Analysis of Persistent Organic Pollutants in Blubber from False Killer Whales.

Chemical research in toxicology·2025
Same author

Harnessing breath biomarkers for pneumonia diagnosis and prognosis.

Expert review of respiratory medicine·2025

Related Experiment Video

Updated: Jun 2, 2026

Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model
08:20

Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model

Published on: October 27, 2023

A modified artificial immune system based pattern recognition approach--an application to clinical diagnostics.

Weixiang Zhao1, Cristina E Davis

  • 1Department of Mechanical and Aerospace Engineering, One Shields Avenue, University of California, Davis, CA 95616, United States.

Artificial Intelligence in Medicine
|April 26, 2011
PubMed
Summary
This summary is machine-generated.

A new artificial immune system (AIS) method, AIS-RBFPLS, improves breast cancer diagnosis by reducing misclassification rates compared to conventional AIS-kNN. This robust approach shows superior performance in clinical diagnosis and potential for other detection problems.

Failed At:

2026-06-19T13:36:35.160789+00:00

Related Experiment Videos

Last Updated: Jun 2, 2026

Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model
08:20

Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model

Published on: October 27, 2023