CryoSPARC is a globally trusted complete solution for cryo-EM data processing Ultra-fast end-to-end processing of raw cryo-EM data and reconstruction of electron density maps, ready for ingestion into model building software Optimized algorithms and GPU acceleration at all stages, from pre-processing...
In cryo-electron microscopy (cryo-EM) data collection, locating a target object is error-prone. Here, we present a machine learning-based approach with a real-time object locator named yoneoLocr using YOLO, a well-known object detection system. Implementation shows its effectiveness in rapidly ...
“It’s common to generate 1 PB of data in 1 year.” Further, scientists need insights fast. Vertex’s on-premises infrastructure for running its cryo-EM workloads was struggling to keep pace with its rapidly growing compute and storage demands. Vertex initially had to transfer all the ...
The 3DFlex framework entails several important design choices that define the architecture of the 3DFlex model. Computationally determining structure and motion from noisy cryo-EM data is a challenging problem. As such, discussion of the design choices below provides insight into the working model, r...
Single particle analysis cryo EM software for automated cryo electron microscopy data acquisition, enabling high-resolution 3D protein structure determination.
A recent study suggested using a combination of multiple automated flexible fitting approaches to improve the interpretation of cryo-EM data. The current work further explores the use of multiple approaches by validating this "consensus" fitting approach and deriving a local reliability measure. Here ...
Prior to the introduction of cryoSPARC Live, it was common for cryo-EM data processing to take weeks after a collection session was completed before any insight about the sample or structure could be extracted. With cryoSPARC Live, we... P Ali - 《Microscopy & Microanalysis》 被引量: 0发表...
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protein particle picking is still largely a computationally expensive and time-consuming process. One challenge facing cryo-EM data analysis is to develop automated particle picking techniques to circumvent manual intervention. To tackle the problem, numerous automatic and semi-automatic particle-picking pr...
By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our privacy policy for more information on the use of your perso...