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#cryosparc

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Guillaume Gaullier<p><span class="h-card" translate="no"><a href="https://fediscience.org/@posertinlab" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>posertinlab</span></a></span> I have used <a href="https://fediscience.org/tags/CryoSPARC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CryoSPARC</span></a>'s tree view since forever because it's a lot easier to understand the relationships between jobs. Even when it was slow on large projects, I put up with it because this view is so helpful. Back when I learned single-particle <a href="https://fediscience.org/tags/cryoEM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cryoEM</span></a>, with <a href="https://fediscience.org/tags/RELION" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RELION</span></a>, I used to draw the job graph by hand as I set up new jobs, so I could remain oriented within large projects.</p><p>The performance of the tree view in CryoSPARC 4.6 is really excellent, it's a big improvement in usability compared to previous versions.<br>Now the only thing that could make the tree view better is an export function as I described here: <a href="https://discuss.cryosparc.com/t/job-graph-figure/15228" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">discuss.cryosparc.com/t/job-gr</span><span class="invisible">aph-figure/15228</span></a></p>
EMBL Events<p>Do you want to learn how to seamlessly integrate single particle analysis and tomography approaches to your research? Then <a href="https://mastodon.online/tags/EMBOCryoEM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EMBOCryoEM</span></a> might be just the course for you! 🔬 </p><p>This course will provide the theoretical and practical foundations of advanced cryoEM techniques, from sample preparation to data collection to image processing, so be sure not to miss it and apply 👉 <a href="https://s.embl.org/cry24-01" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">s.embl.org/cry24-01</span><span class="invisible"></span></a></p><p>🌍 EMBL Heidelberg<br>📝 Apply by 26 May</p><p><a href="https://mastodon.online/tags/CryoEM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CryoEM</span></a> <a href="https://mastodon.online/tags/imagining" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>imagining</span></a> <a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.online/tags/cryoFIB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cryoFIB</span></a> <a href="https://mastodon.online/tags/cryoSPARC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cryoSPARC</span></a> <a href="https://mastodon.online/tags/microscopy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>microscopy</span></a></p>
JanGebauer<p><span class="h-card"><a href="https://xtaldave.net/@xtaldave" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>xtaldave</span></a></span> Sure, but in terms of usability (probably not interoperability?) <a href="https://fediscience.org/tags/Cryosparc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Cryosparc</span></a> is even better than <a href="https://fediscience.org/tags/Phenix" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Phenix</span></a> (which I really like). But I am not (yet) at the knowledge level to switch suites, as I do regulary in <a href="https://fediscience.org/tags/Crystallography" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Crystallography</span></a> - mostly I have not yet learned the benefits and limitations...</p>
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