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Mendeley readers
| Title |
Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging
|
|---|---|
| Published in |
Advanced Structural and Chemical Imaging, March 2018
|
| DOI | 10.1186/s40679-018-0052-y |
| Pubmed ID | |
| Authors |
Suhas Somnath, Christopher R. Smith, Sergei V. Kalinin, Miaofang Chi, Albina Borisevich, Nicholas Cross, Gerd Duscher, Stephen Jesse |
| Abstract |
We develop an algorithm for feature extraction based on structural similarity and demonstrate its application for atom and pattern finding in high-resolution electron and scanning probe microscopy images. The use of the combined local identifiers formed from an image subset and appended Fourier, or other transform, allows tuning selectivity to specific patterns based on the nature of the recognition task. The proposed algorithm is implemented in Pycroscopy, a community-driven scientific data analysis package, and is accessible through an interactive Jupyter notebook available on GitHub. |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 37% |
| Researcher | 10 | 18% |
| Student > Master | 5 | 9% |
| Professor > Associate Professor | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 12% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 22 | 39% |
| Physics and Astronomy | 13 | 23% |
| Engineering | 3 | 5% |
| Chemistry | 3 | 5% |
| Computer Science | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 12 | 21% |