Automated Author ProfileRotunno, Enzo
CNR-Nano S3 Modena
Rotunno, Enzo
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.1 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset containing the jupyter notebook with codes for the simulation of the structured illumination patterns used for image reconstruction (the simulation parameters have been optimized to make sure that the patterns were almost identical to the experimental ones), the reconstruction algorithms. Moreover, there are three experimental dataset saved as txxt file, where each line contains the six biases applied to the electron modulator and the intensity measured by the single pixel detector that we used.
Authors
- Viani, Lorenzo ;
- Rotunno, Enzo ;
- Rosi, Paolo ;
- Grillo, Vincenzo
Dataset containing the jupyter notebook with codes for the simulation of the structured illumination patterns used for image reconstruction (the simulation parameters have been optimized to make sure that the patterns were almost identical to the experimental ones), the reconstruction algorithms. Moreover, there are three experimental dataset saved as txxt file, where each line contains the six biases applied to the electron modulator and the intensity measured by the single pixel detector that we used.
Authors
- Viani, Lorenzo ;
- Rotunno, Enzo ;
- Rosi, Paolo ;
- Grillo, Vincenzo
Dataset containing the jupyter notebook used to construct the database of image, to model and train ANN and to analyze the experimental data. Furthermore there are also a reduced database of 100 images that can be utilized to test the ANN, the h5 file containing the ANN weigths and other supporting files.
Authors
- Bertoni, Giovanni; ;
- Rotunno, Enzo ;
- Marsmans, Daan ;
- Tiemeijer, Peter ;
- Tavabi, Amir H ;
- Dunin-Borkowski, Rafal E ;
- Grillo, Vincenzo
Dataset containing the jupyter notebook used to construct the database of image, to model and train ANN and to analyze the experimental data. Furthermore there are also a reduced database of 100 images that can be utilized to test the ANN, the h5 file containing the ANN weigths and other supporting files.
Authors
- Bertoni, Giovanni; ;
- Rotunno, Enzo ;
- Marsmans, Daan ;
- Tiemeijer, Peter ;
- Tavabi, Amir H ;
- Dunin-Borkowski, Rafal E ;
- Grillo, Vincenzo