Jove
Visualize
Contact Us

Related Concept Videos

Atomic Mass01:52

Atomic Mass

70.0K
Atoms — and the protons, neutrons, and electrons that compose them — are extremely small. For example, a carbon atom weighs less than 2 × 10−23 g. When describing the properties of tiny objects such as atoms, we use appropriately small units of measure, such as the atomic mass unit (amu). The amu was originally defined based on hydrogen, the lightest element, then later in terms of oxygen. Since 1961, it has been defined with regard to the most abundant isotope of carbon, atoms of which...
70.0K
The Uncertainty Principle04:08

The Uncertainty Principle

31.8K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
31.8K
Atomic Number and Mass Number01:12

Atomic Number and Mass Number

15.3K
The number of protons in the nucleus of an atom is its atomic number (Z). This is the defining trait of an element. Its value determines the identity of the atom. For example, any atom that contains six protons is the element carbon and has the atomic number 6, regardless of how many neutrons or electrons it may have. A neutral atom must contain the same number of positive and negative charges, so the number of protons equals the number of electrons. This means that the atomic number also...
15.3K
Atomic Force Microscopy01:08

Atomic Force Microscopy

4.5K
Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
4.5K
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

51.5K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
51.5K
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

66.7K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
66.7K

You might also read

Related Articles

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

Sort by
Same author

A novel pathway for multiscale high-resolution time-resolved residual stress evaluation of laser-welded Eurofer97.

Science advances·2022
Same author

Atom Probe Tomography Interlaboratory Study on Clustering Analysis in Experimental Data Using the Maximum Separation Distance Approach.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2019
Same author

Direct observation of individual hydrogen atoms at trapping sites in a ferritic steel.

Science (New York, N.Y.)·2017
Same author

Nanoscale Stoichiometric Analysis of a High-Temperature Superconductor by Atom Probe Tomography.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2017
Same journal

Gradient-Based Experimental Design for Defect Detection in MoS2 Including Emission Potentials for Thermal Diffuse Scattering.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

An Automated Atom Probe Tomography Cluster Detection Approach Using Transfer Learning.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

Correlative Light and Electron Microscopy Visualization of Helicobacter pylori in Human Saliva.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

Integrating Morpho-Anatomy and Histochemistry to Characterize Native Brazilian Eugenia Species.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

Polyalthia Longifolia Induced Apoptosis via miR-484 Downregulation: A Multimodal In Situ Microscopy, In Vitro, and In Vivo Investigation.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

Rhythmic Pattern of the Ovarian Development in Posthatching Japanese Quail (Coturnix coturnix japonica): Histological, Ultrastructural, and Immunohistochemical Study.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
See all related articles
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 Video

Updated: Jan 29, 2026

Probing The Structure And Dynamics Of Nucleosomes Using Atomic Force Microscopy Imaging
09:52

Probing The Structure And Dynamics Of Nucleosomes Using Atomic Force Microscopy Imaging

Published on: January 31, 2019

12.1K

Quantifying Uncertainty from Mass-Peak Overlaps in Atom Probe Microscopy.

Andrew J London1

  • 1United Kingdom Atomic Energy Authority, Culham Science Centre,Abingdon, Oxon, OX14 3DB,UK.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|February 15, 2019
PubMed
Summary
This summary is machine-generated.

Accurate composition quantification in atom probe microscopy requires addressing ion overlaps. Maximum likelihood estimation (MLE) improves accuracy, and new methods precisely estimate uncertainty, revealing significant underestimations in prior analyses.

Keywords:
APTatom probe tomographyconfidence intervaldecompositionerror barsmass spectrum analysismaximum likelihoodoverlap solvingpeak deconvolution

More Related Videos

Picometer-Precision Atomic Position Tracking through Electron Microscopy
15:04

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

8.3K
Atom Probe Tomography Studies on the CuIn,GaSe2 Grain Boundaries
09:51

Atom Probe Tomography Studies on the CuIn,GaSe2 Grain Boundaries

Published on: April 22, 2013

13.3K

Related Experiment Videos

Last Updated: Jan 29, 2026

Probing The Structure And Dynamics Of Nucleosomes Using Atomic Force Microscopy Imaging
09:52

Probing The Structure And Dynamics Of Nucleosomes Using Atomic Force Microscopy Imaging

Published on: January 31, 2019

12.1K
Picometer-Precision Atomic Position Tracking through Electron Microscopy
15:04

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

8.3K
Atom Probe Tomography Studies on the CuIn,GaSe2 Grain Boundaries
09:51

Atom Probe Tomography Studies on the CuIn,GaSe2 Grain Boundaries

Published on: April 22, 2013

13.3K

Area of Science:

  • Materials Science
  • Analytical Chemistry
  • Surface Science

Background:

  • Composition quantification in atom probe microscopy (APM) is susceptible to random and systematic errors.
  • Ion misidentification and mass spectrum peak overlaps significantly impact quantification accuracy.
  • Existing methods often report only statistical error, neglecting larger errors from spectral overlaps.

Purpose of the Study:

  • To develop and present an analytical expression for uncertainty in maximum likelihood estimation (MLE) for APM.
  • To demonstrate the improved accuracy of the MLE-derived uncertainty compared to existing methods.
  • To highlight the impact of spectral overlaps on composition uncertainty in APM.

Main Methods:

  • Application of maximum likelihood estimation (MLE) to resolve overlapping peaks in APM mass spectra.
  • Derivation of an analytical expression to quantify the uncertainty associated with MLE solutions.
  • Comparison of the new uncertainty estimation method with commonly used error estimation techniques.

Main Results:

  • The derived analytical expression for uncertainty provides a much more accurate estimation than existing methods.
  • Commonly used error estimates were found to be significantly underestimated (e.g., five times too small).
  • Composition uncertainty is highly dependent on the degree of spectral overlap (e.g., CO/Fe vs. Cr/Fe overlaps).

Conclusions:

  • Accurate estimation and minimization of composition uncertainty in APM, especially with overlaps, are critical.
  • The developed MLE-based uncertainty quantification is a key advancement for reliable APM analysis.
  • Improved error estimation is crucial for experimental planning and scientific interpretation of APM data.