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

Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

Matrix-Assisted Laser Desorption Ionization (MALDI)

465
Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI spectrometry is widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.
The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix material. The...
465
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

5.3K
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...
5.3K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.9K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.9K

You might also read

Related Articles

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

Sort by
Same author

Spatial proteomics profiling reveals oncogene-specific immune niches and prognostic markers in NSCLC.

American journal of respiratory and critical care medicine·2026
Same author

[The internet as a source of information for patients with sarcoidosis].

Pneumologie (Stuttgart, Germany)·2026
Same author

How does AI perform compared to human expert panels in medical Delphi studies? A pilot study through the lens of pathology.

Journal of pathology informatics·2026
Same author

Prognostic Value of [<sup>18</sup>F]Flotufolastat PET Using Visual RECIP in Docetaxel-Treated Metastatic Prostate Cancer.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026
Same author

HistoGWAS: an AI-enabled framework for automated genetic analysis of tissue phenotypes in histology cohorts.

Genome biology·2026
Same author

Radiation Therapy Combined with Immunotherapy Before Radical Cystectomy in Locally Advanced Bladder Cancer: A Prospective, Single-arm, Multicenter, Phase 2 Trial (RACE-IT).

European urology oncology·2026

Related Experiment Video

Updated: Sep 21, 2025

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
09:38

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer

Published on: November 26, 2013

14.3K

Multicenter Evaluation of Tissue Classification by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry

Sören-Oliver Deininger1, Christine Bollwein2, Rita Casadonte3

  • 1Bruker Daltonics GmbH & Co KG, Fahrenheitstrasse 4, 28359 Bremen, Germany.

Analytical Chemistry
|June 6, 2022
PubMed
Summary

Tissue classification using Matrix Assisted Laser Desorption/Ionization (MALDI) mass spectrometric imaging (MSI) is feasible across different sites. Optimized data preprocessing significantly improves classifier generalization and robustness, even with technical variations.

More Related Videos

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI
10:47

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI

Published on: March 24, 2016

9.6K
Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows
08:16

Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows

Published on: January 16, 2018

9.0K

Related Experiment Videos

Last Updated: Sep 21, 2025

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer
09:38

Dithranol as a Matrix for Matrix Assisted Laser Desorption/Ionization Imaging on a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer

Published on: November 26, 2013

14.3K
Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI
10:47

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI

Published on: March 24, 2016

9.6K
Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows
08:16

Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows

Published on: January 16, 2018

9.0K

Area of Science:

  • Biomedical Imaging
  • Analytical Chemistry
  • Computational Pathology

Background:

  • Tissue phenotyping via mass spectrometric imaging (MSI) is established.
  • Limited studies assess classifier generalization and transferability across different measurement sites.

Purpose of the Study:

  • To evaluate the generalization of tissue classification using Matrix Assisted Laser Desorption/Ionization (MALDI) mass spectrometric imaging (MSI) across different sites.
  • To assess the impact of technical variations on classification accuracy and the effectiveness of data preprocessing strategies.

Main Methods:

  • Tissue microarrays (TMAs) of diverse formalin-fixed, paraffin-embedded (FFPE) human tissues were analyzed using MALDI-MSI at multiple sites.
  • Technical variations were introduced via non-standard sample preparation and instrument tuning.
  • Standard and optimized data preprocessing pipelines were applied for classification analysis.

Main Results:

  • Intrasite classification accuracy reached 91.4% with standard preprocessing.
  • Leave-one-site-out cross-validation yielded 78.6% accuracy for standard protocol data and 36.1% for mistuned instrument data.
  • Optimized preprocessing improved accuracy to 94.3% for standard data and 81.3% for mistuned instrument data, demonstrating enhanced generalization.

Conclusions:

  • MALDI-MSI-based tissue classification is achievable across different sites.
  • Optimized data preprocessing pipelines are crucial for overcoming technical variation and improving classifier robustness and generalization.
  • Histological annotation combined with advanced preprocessing enhances the reliability of cross-site MALDI-MSI tissue classification.