Skip to main content
GET
/
rheed
/
images
/
{data_id}
/
fingerprint
from atomscale import Client

client = Client(api_key="YOUR_API_KEY")
results = client.get(data_ids="d290f1ee-6c54-4b01-90e6-d701748f0851")
image = results[0]  # RHEEDImageResult
df = image.get_pattern_dataframe()

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "processed_data_id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
  "fingerprint": {
    "nodes": [...],
    "horizontal_distances": [...]
  }
}
Returns a computed fingerprint of the RHEED diffraction pattern as a serialized graph object. The fingerprint characterizes the surface structure by identifying nodes (diffraction features) and their spatial relationships.
​
data_id
string
required
The data entry UUID for the RHEED image

​
Response

​
data_id
string
Data entry UUID
​
processed_data_id
string
Processed data entry UUID
​
fingerprint
object
Serialized fingerprint graph
from atomscale import Client

client = Client(api_key="YOUR_API_KEY")
results = client.get(data_ids="d290f1ee-6c54-4b01-90e6-d701748f0851")
image = results[0]  # RHEEDImageResult
df = image.get_pattern_dataframe()

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "processed_data_id": "a1b2c3d4-5678-90ab-cdef-1234567890ab",
  "fingerprint": {
    "nodes": [...],
    "horizontal_distances": [...]
  }
}