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

Mass Spectrometry: Isotope Effect01:13

Mass Spectrometry: Isotope Effect

Most elements exist in nature as a mixture of isotopes. The isotopes differ in weight due to their respective number of neutrons. The molecular weight of a molecule is different depending on the specific isotope of its elements involved. As a result, the mass spectrum of the molecule exhibits peaks from the same fragment at multiple positions. The positions of these mass signals depend on the mass differences between isotopes. Furthermore, the intensity of these signals is dependent on the...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
Atomic Absorption Spectroscopy: Atomization Methods01:25

Atomic Absorption Spectroscopy: Atomization Methods

Atomic Absorption Spectroscopy (AAS) atomizes samples through flame atomization or electrothermal atomization. Flame atomization typically involves a nebulizer and spray chamber assembly to combine the sample with a fuel–oxidant mixture, creating a fine aerosol mist that enters a burner. Typically, the fuel and oxidant are combined in an approximately stoichiometric ratio. However, for atoms that are easily oxidized, a fuel-rich mixture may be more advantageous. Only about 5% of the aerosol...
Atomic Absorption Spectroscopy: Instrumentation01:22

Atomic Absorption Spectroscopy: Instrumentation

An atomic absorption spectrophotometer (AAS) comprises several components: a radiation source, an atomizer, a monochromator, and a detector. The radiation source can be a hollow-cathode lamp (HCL) or an electrodeless-discharge lamp (EDL), both of which provide a narrow emission line of the required wavelength. However, some instruments use continuum sources and high-resolution monochromators to achieve a narrow range of radiation.
The atomizer used in AAS can be either a flame atomizer or an...

You might also read

Related Articles

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

Sort by
Same author

Informatics-Based Design of Virtual Libraries of Polymer Nano-Composites.

International journal of molecular sciences·2025
Same author

Uncertainty-Informed Screening for Safer Solvents Used in the Synthesis of Perovskites via Language Models.

Journal of chemical information and modeling·2025
Same author

Atomic Interaction-Based Prediction of Phase Formations in High-Entropy Alloys.

ACS omega·2025
Same author

Data-Driven Modeling and Design of Sustainable High Tg Polymers.

International journal of molecular sciences·2025
Same author

In situ Synchrotron X-ray Metrology Boosted by Automated Data Analysis for Real-time Monitoring of Cathode Calcination.

Small methods·2024
Same author

Automated monitoring of electrocatalyst corrosion as a function of electrochemical history and electrolyte formulation.

Chemical communications (Cambridge, England)·2024
Same journal

Efficient methods for wave propagation in electron microscopy.

Ultramicroscopy·2026
Same journal

Unsupervised deep image prior for sparse-view and limited-angle electron tomography.

Ultramicroscopy·2026
Same journal

Determination of the structure of the tertiary phase in the alloy Al<sub>10</sub>Mo<sub>10</sub>Nb<sub>10</sub>Ta<sub>10</sub>Ti<sub>30</sub>Zr<sub>30</sub> using convergent beam electron diffraction.

Ultramicroscopy·2026
Same journal

Predictive drift compensation of multi-frame STEM via live scan modification.

Ultramicroscopy·2026
Same journal

Deep PACBED: Multitask analysis of PACBED images using deep neural networks.

Ultramicroscopy·2026
Same journal

Guided progressive reconstructive imaging: A new quantization-based framework for low-dose, high-throughput and real-time analytical ptychography.

Ultramicroscopy·2026
See all related articles

Related Experiment Video

Updated: May 13, 2026

Atom Probe Tomography Analysis of Exsolved Mineral Phases
08:14

Atom Probe Tomography Analysis of Exsolved Mineral Phases

Published on: October 25, 2019

Data mining for isotope discrimination in atom probe tomography.

Scott R Broderick1, Aaron Bryden, Santosh K Suram

  • 1Department of Materials Science & Engineering and Institute for Combinatorial Discovery, Iowa State University, Ames, IA 50011-2230, USA.

Ultramicroscopy
|March 26, 2013
PubMed
Summary
This summary is machine-generated.

Statistical learning enhances atom probe tomography by capturing kinetic energy to distinguish isotopes. This method improves isotope identification for elements like Magnesium (Mg) and Aluminum (Al).

Keywords:
Atom probe tomography (APT)Data visualizationEigenvalue decompositionKinetic energy discriminationPrincipal component analysis (PCA)

More Related Videos

Atom Probe Tomography Studies on the Cu(In,Ga)Se2 Grain Boundaries
09:51

Atom Probe Tomography Studies on the Cu(In,Ga)Se2 Grain Boundaries

Published on: April 22, 2013

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis
14:53

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis

Published on: February 3, 2018

Related Experiment Videos

Last Updated: May 13, 2026

Atom Probe Tomography Analysis of Exsolved Mineral Phases
08:14

Atom Probe Tomography Analysis of Exsolved Mineral Phases

Published on: October 25, 2019

Atom Probe Tomography Studies on the Cu(In,Ga)Se2 Grain Boundaries
09:51

Atom Probe Tomography Studies on the Cu(In,Ga)Se2 Grain Boundaries

Published on: April 22, 2013

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis
14:53

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis

Published on: February 3, 2018

Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Data Science

Background:

  • Distinguishing isotopes with similar time-of-flight (TOF) in atom probe tomography (APT) is challenging with current detectors.
  • Kinetic energy mapping is a potential method for isotope discrimination, but capturing it has been difficult.

Purpose of the Study:

  • To demonstrate that statistical learning can effectively capture kinetic energy from existing APT data.
  • To improve isotope identification and enhance the information resolution of APT.

Main Methods:

  • Utilized statistical learning methodologies to mathematically transform measured signals.
  • Applied the approach to capture kinetic energy, which is influenced by potential, material, and evaporation processes.
  • Discriminated isotopes for Magnesium (Mg) and Aluminum (Al) by capturing kinetic energy.

Main Results:

  • Successfully captured kinetic energy from APT data using statistical learning.
  • Decomposed time-of-flight spectra into isotope components.
  • Identified individual atoms by their isotopes for Mg and Al.

Conclusions:

  • Statistical learning offers a powerful approach to overcome limitations in current APT detectors.
  • This method significantly enhances the information resolution of APT by enabling precise isotope identification.
  • The findings highlight the value of advanced data mining in materials analysis.