WikiSysop: Created page with "== Citation == Mendez, Joshua H. / Chua, Eugene Y. D. / Paraan, Mohammadreza / Potter, Clinton S. / Carragher, Bridget. Automated pipelines for rapid evaluation during cryoEM data acquisition 2023. Current Opinion in Structural Biology, Vol. 83, p. 102729 == Abstract == Cryo-electron microscopy (cryoEM) has become a popular method for determining high-resolution structures of biomolecules. However, data processing can be time-consuming, particularly for new researcher..."

2024-07-29T05:40:17Z

Created page with "== Citation == Mendez, Joshua H. / Chua, Eugene Y. D. / Paraan, Mohammadreza / Potter, Clinton S. / Carragher, Bridget. Automated pipelines for rapid evaluation during cryoEM data acquisition 2023. Current Opinion in Structural Biology, Vol. 83, p. 102729 == Abstract == Cryo-electron microscopy (cryoEM) has become a popular method for determining high-resolution structures of biomolecules. However, data processing can be time-consuming, particularly for new researcher..."

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== Citation ==

Mendez, Joshua H. / Chua, Eugene Y. D. / Paraan, Mohammadreza / Potter, Clinton S. / Carragher, Bridget. Automated pipelines for rapid evaluation during cryoEM data acquisition
2023. Current Opinion in Structural Biology, Vol. 83, p. 102729

== Abstract ==

Cryo-electron microscopy (cryoEM) has become a popular
method for determining high-resolution structures of biomolecules.
However, data processing can be time-consuming,
particularly for new researchers entering the field. To improve
data quality and increase data collection efficiency, several
software packages have been developed for on-the-fly data
processing with various degrees of automation. These software
packages allow researchers to perform tasks such as
motion correction, CTF estimation, 2D classification, and 3D
reconstruction in real-time, with minimal human input. On-thefly
data processing can not only improve data collection efficiency
but also increase the productivity of instrumentation in
high demand. However, the various software packages available
differ in their performance, computational requirements,
and levels of automation. In this review, we describe the minimal
metrics used to assess data quality during data collection,
outline the features of an ideal on-the-fly data processing
software systems, and provide results from using three of
these systems.

== Keywords ==

== Links ==

https://www.sciencedirect.com/science/article/pii/S0959440X23002038

== Related software ==

== Related methods ==

== Comments ==

2023Mendez Pipelines - Revision history