Cargando…
Neural Network for Enhancing Microscopic Resolution Based on Images from Scanning Electron Microscope
In this paper, an artificial neural network is applied for enhancing the resolution of images from an optical microscope based on a network trained with the images acquired from a scanning electron microscope. The resolution of microscopic images is important in various fields, especially for microf...
Autores principales: | Tsai, Chia-Hung Dylan, Yeh, Chia-Hao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003193/ https://www.ncbi.nlm.nih.gov/pubmed/33803876 http://dx.doi.org/10.3390/s21062139 |
Ejemplares similares
-
Neural Network for Nanoscience Scanning Electron Microscope Image Recognition
por: Modarres, Mohammad Hadi, et al.
Publicado: (2017) -
High-resolution, high-throughput imaging with a multibeam scanning electron microscope
por: EBERLE, AL, et al.
Publicado: (2015) -
RESOLUTION IN ELECTRON MICROSCOPE RADIOAUTOGRAPHY
por: Salpeter, M. M., et al.
Publicado: (1969) -
Classification of scanning electron microscope images of pharmaceutical excipients using deep convolutional neural networks with transfer learning
por: Iwata, Hiroaki, et al.
Publicado: (2022) -
Direct imaging of electron density with a scanning transmission electron microscope
por: Dyck, Ondrej, et al.
Publicado: (2023)