LocScale: Post-Processed Cryo-EM Density Maps for Method Benchmarking

A collection of cryo-electron microscopy (cryo-EM) test set maps post-processed using the LocScale local density sharpening method. Created by Andreea V. Florea Toma and updated in March 2026, the collection provides standardized outputs for evaluating structural biology metrics. It serves as a reference set for model-based sharpening techniques described in the 2017 eLife publication by Jakobi et al.

Use Cases

• Benchmarking structural biology metrics against LocScale-processed volumes
• Evaluating the performance of density sharpening algorithms on cryo-EM maps
• Validating automated map enhancement tools using standardized post-processed outputs

Strengths

• Utilizes the peer-reviewed LocScale algorithm for model-based sharpening
• Specifically curated for cryo-EM map post-processing benchmarking
• Derived from established structural biology test sets

Limitations

• Unknown record count and total file size
• Lack of raw experimental data as the set focuses on post-processed outputs
• Metadata does not specify the resolution range of the included maps

Provenance

Source

Florea Toma, Andreea V.; A curated dataset for cryo-EM map post-processing: methods and metrics

Collection Method

Algorithmic post-processing of existing cryo-EM maps using the LocScale sharpening method

Freshness

Last updated March 2026.