five

cryo-ET tutorial dataset for template matching

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DataCite Commons2025-07-03 更新2025-04-09 收录
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https://dataverse.nl/citation?persistentId=doi:10.34894/TLGJCM
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The dataset is intended for the pytom-gpu-template-matching module for running GPU-accelerated template matching. Details of the method can be found in <a href="https://www.mdpi.com/1422-0067/24/17/13375">Chaillet et al., 2023</a>. <br> <br> The dataset contains 10 tomographic reconstruction from cryo-electron microscopy tilt-series. The reconstruction were generated as follows: (1) MotionCor2 was used to correct the motion in raw movie frames, (2) ctfplotter from IMOD was used to estimate defocus values, (3) ctfphaseflip from IMOD was used for strip-based phaseflipping, and (4) AreTomo was used to align and reconstruct tomograms (weighted back-projection) with 5x5 local patches. Files are saved in the MRC format and the name has the structure tomo[DATE]_[ID].mrc, where DATE refers to collection date and ID refers to the tilt-series index. <br> <br> Each tomogram additionally contains three files using the same name format, but ending in .rawtlt, .defocus, and _dose.txt. These files contain tilt-angles used for collecting the tilt-series (in degrees), accumulated dose per tilt (in e-/A2), and an IMOD-style defocus files with estimated defocus per tilt, respectively. <br> <br> Each tomogram also contains a STAR file with manually inspected and corrected annotations, resembling some sort of a 'ground truth' annotation. The files end with *_bin_manual.star and are in the Relion4 STAR format. <br> <br> The tutorial and software can be found on Github: <ul> <li><a href="https://github.com/SBC-Utrecht/pytom-template-matching-gpu/wiki">tutorial instructions</a></li> <li><a href="https://github.com/SBC-Utrecht/pytom-template-matching-gpu">download software</a></li> </ul> <br> <br> The raw tilt-series can be found in this DataverseNL repository <a href="https://doi.org/10.34894/OLYEFI">doi:10.34894/OLYEFI</a>, they were collected as described in <a href="https://doi.org/10.1038/s41586-022-05638-5"> Gemmer et al., 2023</a> for which there is an EMPIAR dataset available <a href="https://www.ebi.ac.uk/empiar/EMPIAR-11751/">EMPIAR-11751</a>.
提供机构:
DataverseNL
创建时间:
2023-10-18
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