Surface texture analysis
Texture, domain size, and anomaly heatmaps from microscopy, SEM, and AFM exports.
Example outputs shown for illustration. Numbers depend on your samples and protocol.
The measurement, today
Many surfaces are texture problems, not object-counting problems, and texture is rarely quantified in a reviewable way.
From image to reviewed result
- 1
Calibrate the scale
Set spatial scale from a bar or known dimension. Every downstream number inherits real units.
- 2
Detect & segment
Segmentation models find the objects and regions of interest: grains, particles, pores, fibers, cells.
- 3
Measure
Quantify size, count, area fraction, density, and orientation. The metrics your method already defines.
- 4
Review the overlay
Inspect the result on every field. Adjust thresholds by hand; the change is logged with the output.
- 5
Export & compare
Publication-ready statistics, plus batch comparison across lots, conditions, and time points.
What you export
Related applications
Wear, scratch & roughness
Measure wear tracks, scratches, and delamination from tribology and surface images.
Contact angle & wettability
Extract droplet geometry and static contact angle from sessile-drop images.
Phase & microstructure fraction
Segment phases and constituents to quantify area fraction and spatial distribution.
Send a sample image and a measurement goal
We will show the closest ConductVision workflow and flag what needs custom validation for your images.
