Nanoscale defect evaluation framework combining real-time transmission electron microscopy and integrated machine learning-particle filter estimation.

ABSTRACT: Observation of dynamic processes by transmission electron microscopy (TEM) is an attractive technique to experimentally analyze materials' nanoscale phenomena and understand the microstructure-properties relationships in nanoscale. Even if spatial and temporal resolutions of real-time TEM increase significantly, it is still difficult to say that the researchers quantitatively evaluate the dynamic behavior of defects. Images in TEM video are a two-dimensional projection of three-dimensional space phenomena, thus missing information must be existed that makes image's uniquely accurate interpretation challenging. Therefore, even though they are still a clustering high-dimensional data and can be compressed to two-dimensional, conventional statistical methods for analyzing images may not be po

SUBMITTER: Sasaki K 

PROVIDER: S-EPMC9217921 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature