Event driven 4D STEM acquisition with a Timepix3 detector: microsecond dwelltime and faster scans for high precision and low dose applications
<p>The data sets and the processing scripts are a part of the publication: <strong>Event driven 4D STEM acquisition with a Timepix3 detector: microsecond dwelltime and faster scans for high precision and low dose applications (</strong><a href="https://arxiv.org/abs/2107.02864">arXiv:2107.02864</a><strong>). </strong>The programming language used to process the data is written with python 3. </p> <p>In this work, a Timepix3 detector is used to perform 4D STEM experiments where instead of a frame based detection, a event driven approach is used. The experiments where performed on a probe-corrected FEI Themis Z with an acceleration voltage of 60 and 200 kV. The files provided show how to get the figures from the publication starting from the raw .t3p data. All intermediate data is added to reduce the computing time and give the ability to retrieve the images without the need to perform all the calculations.</p> <p>The .yml file contains the necessary package needed to perform the data analysis. For the single-sideband ptychographic reconstruction, the gitlab repository https://gitlab.com/pyptychostem/pyptychostem is used.</p> <p> </p> <p> </p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0