leonarski_fandClaude Opus 5
37efa573c4
Output of update_version.sh. The five lanes each reverted their generated trees before handing back, so that two independently regenerated copies never had to be merged; this is the single pass that replaces them. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EFEJG6WBQv8th4UJFNe53N
3.1 KiB
3.1 KiB
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] |
| spindle_blind | float | Fraction (0-1) of a rotation sweep's blind double cone that this orientation makes unrecoverable, assuming the nearest plausible lattice row is a lone 2-fold (a worst-case bound, not an estimate). At 0.5 and above a recovery protocol (second sweep, reorientation) should engage. Absent means the frame could not be assessed, which automation must treat the same as above threshold - it is not a zero. | [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] |
| ice | float | Strongest hexagonal-ice ring intensity over the smooth radial background (1 = no ice) | [optional] |
| protein_score | float | Protein diffraction detection score (0 = none, 1 = certain); saturating, not a quality measure | [optional] |
| ice_score | float | Crystalline ice detection score (0 = none, 1 = certain); saturating, not a quality measure | [optional] |
| index | int | Indexing solution | [optional] |
| latt_count | int | Indexing lattice count | [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)