Measure what your process is hiding.
NanoFraction combines DHOM optical capture and Holomoire analysis for scoped materials studies. Suitable customer-supplied microscopy data can also be analyzed; references, calibration and interpretation limits are defined for each application.
Choose the workflow closest to yours.
Each use case starts with the same question: what must be measured for the next decision to become faster, clearer or more defensible?
Diamond wafer characterization
Investigate defect-related optical signatures, surface variation and bending in suitable diamond samples. Defect classification and quantitative roughness or stress require appropriate calibration, reference data and, for stress, a material model.
- Defect location
- 3D topography
- Stress signatures
- Wafer-scale context
Optical metrology across scales
Move from millimeter-scale die architecture toward candidate cell-scale periodic signatures while keeping the result tied to the physical layout and its uncertainty.
- Die-to-cell workflow
- Periodic signatures
- Phase analysis
- Layout correlation
Earlier signals from wet streams
Explore particle and aggregate appearance, projected shape and texture as candidate process signals. Suitability and assay correlation require a study; optical appearance alone does not establish REE identity, composition, grade or recovery.
- Particle populations
- Texture features
- Process trends
- Assay correlation
Large-area structured-light inspection
Detect, size and map subtle garment features across a large field while preserving full-frame context and explicitly rejecting off-region false positives.
- Defect detection
- Feature sizing
- ROI validation
- Full-frame traceability
The principle scales. The instrument is engineered.
Moiré and structured-field measurement principles are scale-independent in architecture—not in implementation. Every application still needs the right wavelength, field of view, numerical aperture, carrier, calibration, sample handling and reference method.
Define the decision.
Start with the defect, structure or process signal that changes an operating choice.
Build the optical interaction.
Select illumination, carrier, magnification and field geometry for the material and scale.
Recover measurable structure.
Use phase, Fourier, topographic or AI-assisted analysis to extract candidate signals.
Prove the output matters.
Compare against trusted references and quantify repeatability, uncertainty and limits.
Services first. Hardware when the workflow is proven.
We begin with the measurement question and representative samples, then add complexity only when the evidence supports it.
Feasibility
Define the decision, inspect representative samples and test whether the optical signal is present and repeatable.
Correlation pilot
Compare outputs with your current metrology, inspection, assay or process history using explicit success gates.
Embedded workflow
Package the method into a repeatable service, software pipeline or purpose-built measurement system.
Bring us one measurement bottleneck.
A sample, a reference result and the decision you need to make are enough to start.