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4 results for “Timepix3”
Integration of an event-driven Timepix3 hybrid pixel detector into a cryo-EM workflow
<p><strong>Abstract</strong></p> <p>The development of direct electron detectors has played a key role in low-dose electron microscopy imaging applications. Monolithic active-pixel sensor (MAPS) detectors are currently widely applied for cryogenic electron microscopy (cryo-EM); however, they have best performance at 300~kV, have relatively low read-out speed and only work in imaging mode. Hybrid pixel detectors (HPDs) can operate at any energy, have a higher DQE at lower voltage, have unprecedented high time resolution, and can operate in both imaging and diffraction modes. This could make them well-suited for novel low-dose life-science applications, such as cryo-ptychography, iDPC, and liquid cell imaging. Timepix3 is not frame-based, but truly event-based, and can record individual hits with 1.56~ns time resolution. Here, we present the integration of such a detector into a cryo-EM workflow and demonstrate that it can be used for automated data collection on biological specimens. The performance of the detector in terms of MTF and DQE has been investigated at 200~kV and we studied the effect of deterministic blur. We describe a single-particle analysis structure of \SI{3}{\angstrom} resolution and compare it with Falcon3 data collected under the same microscope. These studies could pave the way toward more efficient low-dose single-particle techniques.</p> <p><strong>Data description</strong></p> <p>Data has been split up in several different directories. In general: each directory contains individual READMEs</p> <p><strong>Flat fields</strong></p> <p>Collected on both TImepix3 and Falcon3 at 200 kV using a Tecnai Arctica microscope. These data have been used for calculating NPS, ToT correction and gain correction. </p> <p><strong>Knife edge</strong></p> <p>Collected on both TImepix3 and Falcon3 at 200 kV using a Tecnai Arctica microscope. These data have been used for calculating MTF.</p> <p><strong>ToT correction calibration file</strong></p> <p>This calibration file has been used to correct all raw Timepix3 data. Including micrographs deposited in EMPIAR.</p> <p><strong>Gain correction</strong></p> <p>Gain correction files calculated from flat field data for several different image formation methods of the Timepix3. The Python script for calculating the gain has been included.</p> <p><strong>Software</strong></p> <p>The software tpx3HitParser, tpx3EventViewer and the MTF-NPS-DQE scripts have listed as related identifiers to this entry.</p> <p> </p>
Dataset for "Performance of a Gridpix detector based on the Timepix3 chip"
<p>This is the data of the analysed run described in the paper "Performance of a Gridpix detector based on the Timepix3 chip" (to be submitted).</p> <p>The data can be converted and analysed with the scripts found at https://github.com/KeesLigtenberg/GridpixTrackFitter</p> <ul> <li>Raw data file from telescope in "mimosa_telescope_nikhef_m26_telescope_scan.h5"</li> <li>Raw data from Timepix3 converted to root tree in "W0015_H04-170713-071936-347.root"</li> <li>Converted telescope data in "mimosa_telescope_nikhef_m26_telescope_scan_combined.root" (combined because all planes are combined)</li> <li>Converted Timepix3 data file "W0015_H04-170713-071936-347_converted.root"</li> <li>"Alignment.dat" and "ToTCorrection.dat" are alignment files</li> <li>"example_converted.root" is a smaller file that can be used to get started with the data</li> </ul>
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>
Dataset: Out-of-field measurements and simulations of a proton pencil beam in a wide range of dose rates using a Timepix3 detector: Dose rate, flux and LET
<p>Open data set for Out-of-field measurements and simulations of a proton pencil beam in a wide range of dose rates using a Timepix3 detector: Dose rate, flux and LET</p>
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