Related Experiment Video

Updated: Jan 22, 2026

An Alternative Approach for Sample Preparation with Low Cell Number for TEM Analysis
09:17

An Alternative Approach for Sample Preparation with Low Cell Number for TEM Analysis

Published on: October 12, 2016

14.3K

Correlated TKD/EDS - TEM - APT analysis on selected interfaces of CoSi2 thin films

H Zschiesche1, A P C Campos2, C Dominici2

  • 1Aix-Marseille Université, IM2NP, CNRS, Faculté de Saint-Jérôme, Case 142, Marseille Cedex 20 13397, France.

Ultramicroscopy
|July 14, 2019
PubMed

Keywords:
Atom probe tomographyInterfaces/interphasesSite-specific sample preparationThin filmsTransmission Kikuchi diffraction/energy-dispersive X-ray spectroscopyTransmission electron microscopy

More Related Videos

Correlative Light- and Electron Microscopy Using Quantum Dot Nanoparticles11:16

Correlative Light- and Electron Microscopy Using Quantum Dot Nanoparticles

Published on: August 7, 2016

10.2K
Photodegradable Hydrogel Interfaces for Bacteria Screening, Selection, and Isolation07:28

Photodegradable Hydrogel Interfaces for Bacteria Screening, Selection, and Isolation

Published on: November 4, 2021

3.3K

Related Concept Videos

Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Correlation and Causation01:27

Correlation and Causation

Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.2K
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
14.6K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.4K
Correlation01:09

Correlation

In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K
Correlation and Regression00:53

Correlation and Regression

In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
3.2K