# ImageFormatSettings


## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**summation** | **bool** | Enable summation of images to a given image_time If disabled images are saved according to original detector speed, but image count is adjusted  | 
**geometry_transform** | **bool** | Place module read-out into their location on composed detector and extend multipixels  | 
**jungfrau_conversion** | **bool** | Convert pixel value in ADU to photon counts/energy Only affects JUNGFRAU detector  | 
**jungfrau_conversion_factor_ke_v** | **float** | Used to convert energy deposited into pixel to counts If not provided incident_energy_keV is used  | [optional] 
**bit_depth_image** | **int** | Bit depth of resulting image (it doesn't affect the detector read-out value) If not provided value is adjusted automatically  | [optional] 
**signed_output** | **bool** | Controls if pixels have signed output If not provided value is adjusted automatically  | [optional] 
**mask_module_edges** | **bool** | Mask 1 pixel on the module boundary  | [default to True]
**mask_chip_edges** | **bool** | Mask multipixels on chip boundary  | [default to True]
**jungfrau_mask_pixels_without_g0** | **bool** | JUNGFRAU: mask pixels that don't operate in G0, but do operate in G1 and G1. This should be turned off for cases, where detector is operated at room temperature with long exposure time.  | [optional] [default to True]
**apply_mask** | **bool** | Masked pixels are set to special value in the images produced by Jungfraujoch  | [default to False]
**jungfrau_pedestal_g0_rms_limit** | **int** | Pixels with pedestal G0 RMS above the threshold are marked as masked pixels | [optional] [default to 100]

## Example

```python
from jfjoch_client.models.image_format_settings import ImageFormatSettings

# TODO update the JSON string below
json = "{}"
# create an instance of ImageFormatSettings from a JSON string
image_format_settings_instance = ImageFormatSettings.from_json(json)
# print the JSON string representation of the object
print(ImageFormatSettings.to_json())

# convert the object into a dict
image_format_settings_dict = image_format_settings_instance.to_dict()
# create an instance of ImageFormatSettings from a dict
image_format_settings_from_dict = ImageFormatSettings.from_dict(image_format_settings_dict)
```
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