LocScale-: Post-Processed Cryo-EM Maps for Density Sharpening Analysis

Aggregating cryo-EM test set maps post-processed using the LocScale local density sharpening method with adjusted resolution values. Created by Andreea V. Florea Toma and last updated in March 2026, it provides a curated set of maps for evaluating post-processing metrics.

Use Cases

• Benchmarking cryo-EM sharpening algorithms using the locscale- density maps
• Evaluating structural biology metrics against the adjusted resolution values
• Validating local density sharpening results as described in the Jakobi et al. (2017) study

Strengths

• Utilizes the LocScale model-based local density sharpening method
• Includes adjusted resolution values for each map
• Directly corresponds to the experimental results in the Jakobi et al. (2017) eLife paper

Limitations

• Unknown total record count and storage size
• Variable naming inconsistency where 'locscale-' replaces the 'locscale*' notation used in the source publication
• Absence of detailed column metadata or file format specifications

Provenance

Source

A curated dataset for cryo-EM map post-processing: methods and metrics

Collection Method

Post-processing of cryo-EM maps using the LocScale algorithm

Freshness

Last updated March 2026.