Every measurement, analyzed the same way
Atlas Metrology reads any instrument file format, runs analysis you can review, and keeps the figure, the numbers, and the method attached to the sample that produced them.
- E₂g
- 350.1
- FWHM 14.6
- A₁g
- 417.8
- FWHM 5.9
- Si
- 521.0
- FWHM 10.3
WS₂ E₂g signal at 100% of intact material.
A Raman map of a plasma-FIB-patterned WS₂ flake, segmented and peak-fit by Atlas.
One workspace for every technique
Pick the metrologies your lab runs. Each has its own analysis, and all of them share one sample record.
Materials decisions depend on more than one measurement
Useful characterization lives across Raman peaks, PL maps, microscope images, sample history, and literature notes. Atlas Metrology keeps that evidence together and makes the reasoning reproducible.
- 1
Evidence stays attached
Every figure, number, and caveat stays linked to the files and samples that produced it, so any result can be checked later.
- 2
Specialist analysis, built in
Purpose-built tools turn spectra and maps into numbers you can verify, instead of leaving interpretation to a generic chatbot.
- 3
One shared record
Scientists, process engineers, and reviewers work from the same project, so nobody rebuilds context from scratch.
From raw files to defensible results
The same four steps for every sample, whoever runs them.
- 1
Upload as measured
Drop in vendor files from Raman, PL, XRD, AFM, and XPS instruments. Atlas parses them without reformatting or copy-paste.
- 2
Ask in scientific language
The assistant picks the right analysis, cites the files it used, and explains how the answer follows from the data.
- 3
Compare across samples
Maps, clusters, region masks, and quality metrics stay comparable across runs, tools, and teammates.
- 4
Hand off the result
Spec checks, reports, and figures go out with their method and calibration status, ready for review.
Pairs with Atlas Physics AI
When the question is why, not what
Atlas Metrology tells you what you made. Atlas Physics AI models how the process got you there, from atomistic defects to reactor-scale flux, and checks its predictions against the same measurements.
GaAs/GaAsP nanowire micro-PL · Patel et al. 2023
Bring a measurement, see the result
Have Raman or PL maps, an XRD pattern, or an AFM scan you need to interpret? We’ll run it through Atlas Metrology with you and show what comes back.