https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2025Sharma_DataCollection 2026-05-01T07:51:20Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2025Sharma_DataCollection&diff=5128&oldid=prev 2025-12-29T14:39:14Z

<p>Created page with &quot;== Citation == K. Sharma, M.J. Borgnia, &quot;Advances in automation for cryo-electron tomography data collection&quot;, Current Opinion in Structural Biology, Volume 95, 103192, 2025 == Abstract == Cryo-electron microscopy has become the preferred method for determining structures of macromolecular complexes both in isolation, using single particle analysis, and in their cellular contexts, using cryo-electron tomography (Cryo-ET) combined with subvolume averaging (SVA). Collec...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> K. Sharma, M.J. Borgnia, &quot;Advances in automation for cryo-electron tomography data collection&quot;, Current Opinion in Structural Biology, Volume 95, 103192, 2025<br /> <br /> <br /> == Abstract ==<br /> <br /> Cryo-electron microscopy has become the preferred method for determining structures of macromolecular complexes both in isolation, using single particle analysis, and in their cellular contexts, using cryo-electron tomography (Cryo-ET) combined with subvolume averaging (SVA). Collection of tilt series for Cryo-ET introduces challenges such as low signal-to-noise ratios, sample radiation sensitivity, and mechanical imprecision of the microscope stage – particularly at high magnifications. Strategies to improve throughput and resolution include continuous tilt and beam-image-shift parallel acquisition, real-time predictive adjustments, and machine learning-driven targeting. Additionally, montage tomography has increased the observable cellular area, while innovations like rectangular condenser apertures promise improved dose efficiency. Web-based and machine learning-enhanced solutions for automated and remote microscope operation are improving the user experience. Collectively, these advancements represent a critical step towards robust, high-resolution, and user-friendly Cryo-ET, facilitating the visualization of macromolecular assemblies within their authentic biological environments.<br /> <br /> <br /> == Links ==<br /> https://doi.org/10.1016/j.sbi.2025.103192</div>

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