METRIC FLIGHT / TOOL 02 / MATERIAL MAPS

VISUAL LABORATORY · EDITION 10

Look beneath
the average.

Explore why internal structure can disappear in a coarse measurement, even when it matters to the physics.

SYNTHETIC SIGNAL / GAUSSIAN BLUR4 µm across · 1 µm periodicity

ASSUMED FINE STRUCTURE

SIMULATED OBSERVATION

CYAN: ASSUMED · AMBER: BLURRED · dimensionless signal

Change resolution to see what disappears into an average. Feature width is the Gaussian peak FWHM in the narrow-feature mode.

Feature width parameter
150 nm
Instrument resolution, FWHM
500 nm
Retained signal contrast
— %

Includes inputs, units, assumptions and model version. Calculations run in your browser.

THE SCIENTIFIC DISTINCTION

Three scales.
Three different statements.

ObservationReported scaleWhat it means
LESCO cuprate structural wallsApproximately 150 nmBulk strain reconstruction in a particular copper-based crystal.
Graphene electronic grain-boundary barriersApproximately 10–20 nmElectronic screening width inferred from plasmon interference; not the same wall.
Conventional confocal Raman mapsTypically around 500 nmSpot-averaged information. Linewidth may reveal smaller strain variation without locating each feature.

Research basis: Evie Ladbrook, 2026 · Z. Fei et al., 2013 · Christoph Neumann et al., 2015. Read findings and limits ↗

The maps above are generated scalar signals with a Gaussian point-spread function. They do not reconstruct the cuprate paper, predict graphene conductivity, or calculate superconductivity. A smaller blur setting illustrates an instrument capability; it does not assert that a particular microscope achieves it.

A material model is a starting point. A prediction earns confidence through measurement, controls and independent review.