Confidence-guided cryo-EM map optimisation with LocScale-2.0
Alok Bharadwaj; R. de Bruin; Arjen J. Jakobi · 2026 · Nature Communications
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Cryogenic sample electron microscopy (cryo-EM) maps often display uneven quality, with high-resolution features coexisting alongside weak or poorly ordered regions. Such variation complicates structural interpretation, especially for heterogeneous macromolecular assemblies. Here, we present LocScale-2.0, a context-aware map optimisation framework that operates without prior knowledge of molecular structure or composition. By leveraging general expectations of electron scattering by biological macromolecules, it enhances local detail and connectivity while preserving weak but biologically relev
Abstract by Alok Bharadwaj; R. de Bruin; Arjen J. Jakobi, Nature Communications (2026) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Spring snow cover extent reductions in the 2008–2012 period exceeding climate model projections
Negative / Null Result ReportLong‐term ozone trends at rural ozone monitoring sites across the United States, 1990–2010
Negative / Null Result ReportComparative performance of the BGISEQ-500 vs Illumina HiSeq2500 sequencing platforms for palaeogenomic sequencing
Negative / Null Result ReportMeteorological Causes of the Secular Variations in Observed Extreme Precipitation Events for the Conterminous United States
Negative / Null Result ReportBAYSPLINE: A New Calibration for the Alkenone Paleothermometer
Negative / Null Result ReportQuantifying Environmental Control on Tropical Cyclone Intensity Change
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1038/s41467-026-75327-8