WikiSysop: Created page with "== Citation == Marchán Torres, D., Conesa, P., Garcia, A., Iceta, M., Broche, L., Gragera, M., Linares, R., Kwong, H.S., Chichón, F.J., Svensson, O. and others 2026. An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM. Acta Crystallographica Sec. D. 82, 8 (2026). == Abstract == Single-particle analysis (SPA) by cryogenic electron microscopy (cryo-EM) has become a cornerstone of structural biology; yet, the workflow..."

2026-08-10T05:13:14Z

Created page with "== Citation == Marchán Torres, D., Conesa, P., Garcia, A., Iceta, M., Broche, L., Gragera, M., Linares, R., Kwong, H.S., Chichón, F.J., Svensson, O. and others 2026. An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM. Acta Crystallographica Sec. D. 82, 8 (2026). == Abstract == Single-particle analysis (SPA) by cryogenic electron microscopy (cryo-EM) has become a cornerstone of structural biology; yet, the workflow..."

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== Citation ==

Marchán Torres, D., Conesa, P., Garcia, A., Iceta, M., Broche, L., Gragera, M., Linares, R., Kwong, H.S., Chichón, F.J., Svensson, O. and others 2026. An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM. Acta Crystallographica Sec. D. 82, 8 (2026).

== Abstract ==

Single-particle analysis (SPA) by cryogenic electron microscopy (cryo-EM)
has become a cornerstone of structural biology; yet, the workflow from data
acquisition to a 3D structure remains a time-consuming, manual and significant
task. Researchers often invest days of valuable microscope time collecting
massive datasets with little to no real-time feedback on sample quality or the
ultimate feasibility of achieving a high-resolution reconstruction. To address this
challenge, we have developed an automated, end-to-end processing workflow
designed for on-the-fly analysis. Built within the Scipion framework, the pipeline
integrates a cascade of automated quality-control filters, a novel consensusbased
strategy for training a data-specific particle-picking model, and a parallel
2D/3D validation scheme to ensure robust processing outcomes. We validated
the workflow on a diverse benchmark of 32 datasets (CryoPPP), achieving a
94% overall processing success rate and obtaining high-quality 3D reconstructions
in 78% of cases. Real-world deployment at the European Synchrotron
(ESRF) cryo-EM facility further validated its practical utility: the pipeline
demonstrated processing speeds exceeding data acquisition, delivering preliminary
3D maps in under 3 h. Approximately 70% of user experiments
converged to interpretable structures, with half achieving 3–4 A ˚ resolution,
despite the inherent complexity of facility-collected samples. By providing
researchers with rapid, actionable feedback and identifying both promising
and problematic datasets in real time, this workflow transforms cryo-EM data
collection from a passive process into an active, data-driven experiment. It
serves as a powerful diagnostic and decision-support tool, accelerating structural
determination and optimizing microscope time in high-throughput cryo-EM
environments.

== Keywords ==

== Links ==

https://journals.iucr.org/d/issues/2026/08/00/bar5004/index.html

== Related software ==

== Related methods ==

== Comments ==

2026Marchan Unattended - Revision history