A deep learning method for nanoparticle size measurement in SEM images
Tingwang Tao, Haining Ji, Bin Liu
Abstract
1-score values of 87.79% and 93.50%, respectively, on the test set. The Spearman coefficient between the measured particle sizes and manual annotations was 0.91, with a mean relative error of 4.25%, confirming the accuracy and robustness of the method. This study presents a highly reliable automated method for nanoparticle size measurement, providing an effective tool for nanoparticle analysis and engineering applications.
Topics & Concepts
ResidualNanoparticleDeep learningArtificial intelligenceComputer sciencePattern recognition (psychology)Materials scienceNanotechnologyAlgorithmCell Image Analysis TechniquesDigital Imaging for Blood DiseasesMineral Processing and Grinding