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GET
/
sem
/
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")
sem = results[0]

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "processed_data_id": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
  "total_count": 142,
  "low_outliers": {
    "mask": {
      "mask_rle": "0 50 1 10 0 200 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [255, 0, 0, 0.15]
    },
    "details": {
      "count": 12,
      "percentage": 8.45
    }
  },
  "inliers": {
    "mask": {
      "mask_rle": "0 30 1 20 0 180 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [0, 255, 0, 0.15]
    },
    "details": {
      "count": 118,
      "percentage": 83.1
    }
  },
  "high_outliers": {
    "mask": {
      "mask_rle": "0 100 1 5 0 300 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [0, 0, 255, 0.15]
    },
    "details": {
      "count": 12,
      "percentage": 8.45
    }
  }
}
Returns a computed fingerprint characterizing the surface morphology from an SEM image. The response segments detected features into three categories (inliers, low outliers, and high outliers) based on the selected feature metric, each with an RLE-encoded mask and statistics.
​
data_id
string
required
The data entry UUID for the SEM image
​
feature
string
default:"area"
Feature metric to use for fingerprinting (e.g., area)

​
Response

​
data_id
string
Data entry UUID
​
processed_data_id
string
Processed data UUID
​
total_count
integer
Total number of detected features
​
low_outliers
object
Features classified as low outliers
​
inliers
object
Features classified as inliers (same structure as low_outliers)
​
high_outliers
object
Features classified as high outliers (same structure as low_outliers)
from atomscale import Client

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

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "processed_data_id": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
  "total_count": 142,
  "low_outliers": {
    "mask": {
      "mask_rle": "0 50 1 10 0 200 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [255, 0, 0, 0.15]
    },
    "details": {
      "count": 12,
      "percentage": 8.45
    }
  },
  "inliers": {
    "mask": {
      "mask_rle": "0 30 1 20 0 180 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [0, 255, 0, 0.15]
    },
    "details": {
      "count": 118,
      "percentage": 83.1
    }
  },
  "high_outliers": {
    "mask": {
      "mask_rle": "0 100 1 5 0 300 ...",
      "mask_height": 1024,
      "mask_width": 1024,
      "color": [0, 0, 255, 0.15]
    },
    "details": {
      "count": 12,
      "percentage": 8.45
    }
  }
}