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 Experiment Videos

Semiautomated analytical image correlation.

T Gregory Schaaff1, J M McMahon, Peter J Todd

  • 1Chemical Sciences Division, Oak Ridge National Laboratory, Tennessee 37831-6365, USA.

Analytical Chemistry
|September 19, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Neurodegenerative and inflammatory biomarkers are detectable in saliva in multiple sclerosis.

Scientific reports·2026
Same author

Kidney disease… Is it worth the weight?

Polish archives of internal medicine·2025
Same author

Offset integrity reduces environmental risk: Using lessons from biodiversity and carbon offsetting to inform water quality offsetting in the catchments of the Great Barrier Reef.

The Science of the total environment·2024
Same author

Disentangling the Impact of Point Defect Density and Carrier Localization-Enhanced Auger Recombination on Efficiency Droop in (In,Ga)N/GaN Quantum Wells.

ACS photonics·2023
Same author

BAOMS QOMS: findings from the pilot phase and lessons learned in the feasibility evaluation of a national quality improvement initiative.

The British journal of oral & maxillofacial surgery·2021
Same author

BAOMS QOMS (Quality and Outcomes in Oral and Maxillofacial Surgery), a specialty-wide quality improvement initiative: progress since conception.

The British journal of oral & maxillofacial surgery·2021
Same journal

Heterojunction Gate-Empowered OPECT Aptasensing: A Valid Protocol for Realizing High Current Gain at Low Electron Donor Dependency.

Analytical chemistry·2026
Same journal

Development of a Tapping-Mode Scanning Probe Electrospray Ionization Platform for High-Sensitivity and Long-Term Stability in Single-Cell Mass Spectrometry Imaging of Tissue.

Analytical chemistry·2026
Same journal

A Solid-State Near-Infrared Fluorescent Probe by a Synergistic Extended Conjugated System for Detecting Cys with Long-Term Imaging in Orthotopic Bladder Cancer.

Analytical chemistry·2026
Same journal

Air-Based Porous Array Dielectric Barrier Discharge Ionization Source for Explosive Trace Detection.

Analytical chemistry·2026
Same journal

PSAQ<sup>+1</sup>: Absolute Protein Quantification Using a <sup>13</sup>C<sub>1</sub>-Labeled Protein Standard, Coisolation of Peptide Pairs and LC-PRM.

Analytical chemistry·2026
Same journal

Heterojunction-Enhanced Interfacial Evanescent-Tunable Fiber Optic Probe for Amplification-free CRISPR/Cas12a-Based Rapid and Ultrasensitive Detection of MPXV.

Analytical chemistry·2026
See all related articles

Machine vision, using pattern recognition and image processing, enables semiautomated correlation of optical microscopy and secondary ion mass spectrometry images. This allows combining complementary data from different imaging techniques for enhanced analysis.

Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Computer Vision

Background:

  • Machine vision employs pattern recognition and digital image processing algorithms.
  • Integrating data from diverse microscopy techniques presents analytical challenges.

Purpose of the Study:

  • To develop a semiautomated method for correlating optical microscopy and secondary ion mass spectrometry (SIMS) images.
  • To enable the combination of complementary information from disparate imaging modalities.

Main Methods:

  • Application of image processing algorithms to correlate digital images.
  • Utilizing relative positions of major constituents to correlate minor constituents invisible in optical images.
  • Translating precise coordinates between analytical images from different methods.

Related Experiment Videos

Main Results:

  • Semiautomated correlation between optical and secondary ion images is achievable.
  • Minor constituents in SIMS images can be located relative to major constituents.
  • Precise feature localization across different imaging techniques is demonstrated.

Conclusions:

  • The developed machine vision approach facilitates the integration of complementary data from optical microscopy and SIMS.
  • This semiautomated system enhances the capability to combine disparate imaging methods for comprehensive analysis.