Litcius/Paper detail

Automated analysis of transmission electron micrographs of metallic nanoparticles by machine learning

Nina Gumbiowski, Κateryna Loza, Marc Heggen, Matthias Epple

2023Nanoscale Advances38 citationsDOIOpen Access PDF

Abstract

unknown shape of a particle that is partially lying in the shadow of another particle. The program is able to extract information from a sequence of images of the same sample, thereby increasing the number of analysed nanoparticles to several thousands. The machine learning approach is well-suited to identify particles at only limited particle-to-background contrast as is demonstrated for ultrasmall gold nanoparticles (2 nm).

Topics & Concepts

Particle (ecology)NanoparticleNanoparticle tracking analysisMaterials scienceParticle sizeArtificial intelligenceA priori and a posterioriSegmentationPopulationComputer scienceBiological systemNanotechnologyChemistryEngineeringChemical engineeringSociologyMicrovesiclesGeologymicroRNAPhilosophyGeneDemographyBiologyBiochemistryEpistemologyOceanographyElectron and X-Ray Spectroscopy TechniquesEnhanced Oil Recovery TechniquesMineral Processing and Grinding