[HTML][HTML] Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
Maximizing Neural Net Generalizability and Transfer Learning Success for Transmission Electron Microscopy Image Analysis in the Face of Small Experimental …
K Sytwu, LR DaCosta, C Groschner… - Microscopy and …, 2022 - cambridge.org
The increasing ability to perform high throughput electron microscopy has created a need for
robust, automated analysis that appears addressable by machine learning (ML) tools …
robust, automated analysis that appears addressable by machine learning (ML) tools …
Convolutional Neural Network as a Solution to Segment and Classify High Resolution TEM Images to Obtain 3D Information
Analysis of nanoparticles has enjoyed a continuously increasing interest, with applications
in catalysis, medicine or optoelectronics, to name a few. The physical and chemical …
in catalysis, medicine or optoelectronics, to name a few. The physical and chemical …