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What is the "VCm" for cryo em? 


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Cryo-EM is a powerful technique for solving macromolecular structures, but the data processing stages can introduce errors. The CoVal web service provides validation metrics for assessing the quality of atomic models derived from cryo-EM data of structures from SARS-CoV-2 . Cryo-EM allows the structural architecture of a protein molecule to be elucidated in a physiologically relevant environment . Clustering and aligning images into homogeneous groups is a critical step in cryo-EM data analysis, and a new clustering method called IterVM has been developed to improve accuracy in low signal-to-noise-ratio scenarios . Cryo-EM is well-suited for studying protein and polymer self-assembly in solution, allowing specimens to be imaged in a state closest to their native one . An automated Cryo-EM image pre-processing service has been developed for an HPC environment, providing real-time feedback and allowing researchers to interact with the data acquisition session remotely .

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The provided paper does not mention anything about "VCm" in the context of cryo-EM.
The provided paper does not mention the term "VCm" in relation to cryo-EM. The paper discusses the use of cryo-electron microscopy (cryo-EM) for studying protein and polymer self-assembly.
The provided paper does not mention the term "VCm" in relation to cryo electron microscopy.
The paper does not mention anything about "VCm" in the context of cryo-EM. The paper is about a new clustering method called IterVM for cryo-EM image analysis.

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