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    "description": "<p><strong>AutoLEI</strong> is an&nbsp;<em>XDS</em>-based pipeline with graphical user interface for automated real-time and offline batch 3D ED/microED data processing. It provides a user-friendly platform for rapid, automated data processing and merging of multiple MicroED datasets, with well-designed and significantly streamlined structure determination workflows.</p>\n<p>If you use AutoLEI in your work, please cite the following publication:</p>\n<p>1. Wang, L., Chen, Y., Hutchinson, E. S., Stenmark, P., Hofer, G., Xu, H., &amp; Zou, X. (2026). IUCrJ, 13.&nbsp;https://doi.org/10.1107/S2052252525010784&nbsp;</p>\n<p><span lang=\"EN-US\">2. Kabsch, W. (2010). <em>Acta Crystallogr D Biol Crystallogr</em> <strong>66</strong>, 125&ndash;132. <a href=\"https://doi.org/10.1107/S0907444909047337\">https://doi.org/10.1107/S0907444909047337</a></span></p>\n<p>If you encounter any issues, please report them to:<br>lei.wang@su.se<br>yinlin.chen@su.se</p>\n<p><strong>Version selection:</strong></p>\n<p>AutoLEI v-1.0.0: version demonstrated in the paper (https://doi.org/10.1101/2025.04.12.648515). Data available: https://zenodo.org/records/14536385</p>\n<p>AutoLEI v-1.0.2.250711: latest beta version&nbsp;</p>\n<p><strong>1. Key Features</strong><br>User-friendly interface: Simplifies MicroED data processing, requiring minimal manual input.<br>-Batch Processing: Handles large numbers of datasets with automated workflows.<br>-Real-Time Data Processing: Provides live feedback during data collection.<br>Versatility: Supports diverse samples, including small molecules and protein workflows.</p>\n<p><strong>2. Installation</strong></p>\n<p>Operating Systems: Linux or Windows via [WSL](https://en.wikipedia.org/wiki/Windows_Subsystem_for_Linux) (versions 1/2).<br>Software Dependencies:<br>Python 3.8+ with libraries specified in `pyproject.toml`.<br>[XDS](https://xds.mr.mpg.de/) and [XDSGUI](https://wiki.uni-konstanz.de/xds/index.php/XDSGUI).<br>Optional tools: `xprep` for advanced features and LibreOffice for `.xlsx` files in Linux.</p>\n<p>Steps:<br>a) Install via pip:<br><em>&nbsp; &nbsp;bash</em><br><em>&nbsp; &nbsp;pip install autolei</em></p>\n<p>&nbsp; &nbsp;For historical versions, use:<br><em>&nbsp; &nbsp;bash</em><br><em>&nbsp; &nbsp;pip install autolei-[version_name].zip</em><br>&nbsp;&nbsp;<br>b) Manual installation:<br>&nbsp; &nbsp;Follow the steps in the AutoLEI_Tutorial.pdf and https://gitlab.com/tristonewang/autolei/-/wikis/home&nbsp;</p>\n<p><strong>3.&nbsp; Usage<br></strong>Command-line Usage</p>\n<p>Launch the GUI<br><em>&nbsp; &nbsp;bash</em><br><em>&nbsp; &nbsp;autolei</em></p>\n<p>Note: The first launch may take slightly longer as dependencies initialize.</p>\n<p>Configure Settings:<br><em>&nbsp; &nbsp;bash</em><br><em>&nbsp; &nbsp;autolei_setting</em><br>&nbsp; &nbsp;<br>&nbsp; The opened .ini file includes settings on screen scaling, multi-thread and report format.</p>\n<p>Import Instrument:<br><em>&nbsp; &nbsp;bash</em><br><em>&nbsp; &nbsp;autolei_add_instrument [instrument_setting_file]</em></p>\n<p><strong>4. GUI pages</strong><br>AutoLEI is organised into multiple working pages:<br>- Input: Configure experiment parameters and generate input files.<br>- XDSRunner: Automate initial processing and data quality inspection.<br>- CellCorr: Update unit cell information and refine settings.<br>- XDSRefine: Fine-tune processing parameters, including rotation axis and scaling.<br>- MergeData: Filter and merge datasets for downstream analysis.<br>- Cluster&amp;Output: Perform clustering and generate outputs for structure determination.<br>- Expert: Miscellaneous tools for data reduction and PETS2-related function.<br>- RealTime: Live data processing with real-time feedback and automatic merging.</p>\n<p><strong>5. Documentation and other sources</strong><br>Detailed guides and examples can be found in:</p>\n<p>- Tutorial for AutoLEI<br>- PyPI: https://pypi.org/project/autolei/&nbsp;<br>- Gitlab (our Wiki): https://gitlab.com/tristonewang/autolei/-/wikis/home</p>\n<p><strong>6. Authors and Acknowledgments</strong><br>Developed by Lei Wang and Yinlin Chen. Contributions from Gerhard Hofer, Hongyi Xu, and Xiaodong Zou at Stockholm University. The project integrates valuable resources from [edtools](https://github.com/instamatic-dev/edtools).</p>\n<p><strong>7. License</strong><br>The software is licensed under the BSD 3-Clause License.</p>",
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