Connection Methods
Atomscale supports multiple ways to bring data into the platform, from zero-setup screen capture to fully automated programmatic integration:- File Upload
- Screen Capture
- File Watcher
- Programmatic Integration
Upload characterization data or process log files manually.Best for: Initial evaluation, ad-hoc usage, historical dataRequires: Accessible data files in a supported format
Your First Connection
Choose the path that best fits your situation:Option A: Upload a File
The quickest way to get data into Atomscale, useful for initial evaluation or loading historical data.Access Web Upload
In the Atomscale dashboard, click Add Data
in the sidebar and select Upload
from the connection options.
Upload Files
Drag and drop your characterization data or process log files, or click to browse.
Atomscale auto-detects most common instrument file formats.
Option B: Stream via Screen Capture
The quickest way to get live data flowing, with no agent install or API setup required.Open Screen Capture
In the Atomscale dashboard, click Add Data
in the sidebar and selectScreen Capture.
Select a Window
Choose the instrument GUI or application window to capture from. Atomscale streams the visual
content and extracts quantitative data in real-time.
Going Further
Once you’ve verified that Atomscale processes your data correctly, consider setting up persistent connections for ongoing use:- File Watcher: Install the desktop agent to automatically upload files from a monitored directory. In the dashboard, click Add Data → File Watcher to download the agent and configure a watched directory.
- Python SDK: For full programmatic control, see the SDK documentation to set up automated streaming or bulk upload pipelines.
Supported Instruments
Atomscale includes built-in adapters for common characterization and process data across thin film growth:| Category | Instruments |
|---|---|
| Diffraction | RHEED (STAIB, kSA, custom), XRD, LEED |
| Spectroscopy | XPS (PHI, Kratos, Thermo), Raman, Ellipsometry, NMR |
| Microscopy | SEM, AFM, TEM, STEM |
| Process Logs | MBE, MOCVD, CVD, ALD, PVD, and sputtering systems |
| General | CSV, HDF5, IMM, TIFF, VMS, and other common formats |
Don’t see your instrument or file format? Contact our team at
[email protected] to quickly set up a new integration.
Data Organization
As you connect data, Atomscale organizes it around a few core concepts that carry through to analysis and monitoring:- Data Items are individual files or data streams: a single RHEED recording, an XPS spectrum, or a process log.
- Physical Samples group data items associated with a sample. A physical sample might have in-situ RHEED data, ex-situ XPS, and the growth process log, all linked together.
- Projects group related physical samples by growth system, research campaign, product line, or however fits your workflow. Projects are used for run-to-run analysis and monitoring.