ScanResultImagesInner

Properties

Name	Type	Description	Notes
efficiency	float
number	int	Detector image number for a given cell
nx	int	Cell position in X for grid scan	[optional]
ny	int	Cell position in Y for grid scan	[optional]
angle	float	Rotation angle associated with the image	[optional]
bkg	float	Background estimate	[optional]
spots	int	Spot count	[optional]
spots_low_res	int	Spot count in low resolution range	[optional]
spots_indexed	int	Spot count within indexing tolerance	[optional]
spots_ice	int	Spot count within common ice ring resolutions	[optional]
index	int	Indexing solution	[optional]
pr	float	Profile radius, i.e. how far reflections are from the Ewald sphere	[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	Diffraction resolution estimate	[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)

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