1.8 KiB
1.8 KiB
ScanResultImagesInner
Properties
| Name | Type | Description | Notes |
|---|---|---|---|
| efficiency | float | ||
| number | int | Detector image number for a given cell | |
| bkg | float | Background estimate | [optional] |
| spots | int | Spot count | [optional] |
| spots_low_res | int | Spot count in low resolution range (default 50.0 - 4.5 A) | [optional] |
| index | int | Indexing solution | [optional] |
| mos | float | Mosaicity estimate | [optional] |
| b | float | B-Factor estimate | [optional] |
| uc | UnitCell | [optional] | |
| xfel_pulseid | int | XFEL pulse ID | [optional] |
| pixel_sum | int | Total sum of all pixels | [optional] |
| max | int | Max viable pixel | [optional] |
| sat | int | Number of saturated pixels | [optional] |
| err | int | Number of error pixels | [optional] |
| res | float | Resolution estimate from ML algorithm | [optional] |
Example
from jfjoch_client.models.scan_result_images_inner import ScanResultImagesInner
# TODO update the JSON string below
json = "{}"
# create an instance of ScanResultImagesInner from a JSON string
scan_result_images_inner_instance = ScanResultImagesInner.from_json(json)
# print the JSON string representation of the object
print(ScanResultImagesInner.to_json())
# convert the object into a dict
scan_result_images_inner_dict = scan_result_images_inner_instance.to_dict()
# create an instance of ScanResultImagesInner from a dict
scan_result_images_inner_from_dict = ScanResultImagesInner.from_dict(scan_result_images_inner_dict)