A general and robust analytical method for interface normal determination in TEM.

Area of Science:

• Materials Science
• Crystallography
• Analytical Chemistry

Background:

• Accurate determination of interface normals is crucial for understanding material properties.
• Existing methods for interface normal determination have limitations in handling diverse orientations and large datasets.
• Microstructural analysis often requires precise characterization of features like interfaces and their orientations.

Purpose of the Study:

• To develop a generalized analytical method for determining interface normals from bright/dark field images.
• To provide a robust approach capable of handling arbitrary orientations and a large number of input datasets.
• To extend the applicability of the method for characterizing 1D features and assessing planarity of microstructural elements.

Main Methods:

• A general geometrical model of interface projection is employed.
• The method processes a series of bright/dark field images acquired from arbitrary orientations.
• Statistical analysis is used to validate results with 6 or more input sets, considering experimental errors.

Main Results:

• The proposed method offers a generalized formulation superior to existing techniques.
• Satisfactory accuracy is achieved even with considerable experimental errors, given sufficient input data (≥6 sets).
• The robustness of the method is demonstrated for large-scale data analysis.

Conclusions:

• The developed analytical method provides a reliable and accurate means to determine interface normals.
• Its robustness makes it suitable for implementation in complex materials science problems with extensive datasets.
• The method's versatility allows for the characterization of 1D features and the evaluation of microstructural feature planarity.