The Library
Partial STEM
Tools
Ede, Jeffrey M. (2019) Partial STEM. [Online]. (https://github.com/Jeffrey-Ede/partial-STEM). Coventry, UK: Department of Physics ; University of Warwick.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: https://github.com/Jeffrey-Ede/partial-STEM
Abstract
Source code for neural networks that complete scanning transmission electron micrographs from partial scans. This can be used to decrease electron dose and scan time, to reduce damage to samples. In addition to example code, there are sets of code used to investigate systematic errors and for spiral scans selected with binary masks for a range of coverages. Links to pre-trained models are provided.
Item Type: | Digital Scholarly Resource | ||||
---|---|---|---|---|---|
Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||
Publisher: | Department of Physics ; University of Warwick | ||||
Place of Publication: | Coventry, UK | ||||
Official Date: | 2019 | ||||
Dates: |
|
||||
Publication Status: | Published | ||||
Media of Output (format): | Software | ||||
Access rights to Published version: | Open Access (Creative Commons) |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |