Bright-field imaging
Rapidly locate, classify and document 2D crystals using optical contrast, morphology and edge geometry.
02 / In Situ Metrology
Optical quality assurance, inside the assembly workflow.
Connect imaging, spectroscopy, and crystal-orientation measurements to the materials you select and the devices you build.
In situ optical QA
Bright-field · Dark-field
Photoluminescence · Differential reflectivity (absorption)
Confocal Second Harmonic Generation (SHG) mapping available
Part of the build, not an afterthought
Device quality is assessed during and after the build. Integrating optical QA into the instrument connects those observations to the crystal database and the assembly history.
For research teams and multi-user facilities, the result is a documented build rather than an isolated “hero” sample.
Imaging and Metrology Capabilities
Multiple measurements. One quality record. No single measurement captures every aspect. We combine complementary imaging and spectroscopy to assess crystal morphology, defects, interface quality, and crystallographic orientation.
Rapidly locate, classify and document 2D crystals using optical contrast, morphology and edge geometry.
Reveal features that are difficult to see in bright field, including bubbles, wrinkles, contamination, tears and other scattering defects that can compromise interface and device quality.
Rapidly map optical emission across semiconducting crystals and heterostructures, assess spatial uniformity, and flag regions where emission is quenched or modified by defects, interfaces or stacking.
Automatically identifies crystal thickness of any material at high precision using wavelength-dependent constructive and destructive interference modelling. The same spectra also reveal excitonic resonances, material identity, and optical quality.
Automatic twist-angle recognition and armchair / zigzag edge detection connect crystal-orientation information to the assembly workflow.
Traceability
The platform connects crystal morphology and metadata, the intended stack, machine-vision assembly, and optical QA.
Morphology and metadata
Selected layers and arrangement
Machine-vision-controlled build
A record linked to the device
Tell us about your material system, device requirements, and optical characterisation workflow.