Automated analysis of transmission electron micrographs of metallic nanoparticles by machine learning
Nina Gumbiowski, Κateryna Loza, Marc Heggen, Matthias Epple
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