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Analyser/ImagingAnalyser.py

@@ -167,6 +167,8 @@ class ImageAnalyser():
         :type center: tuple, optional
         :param span: the span of region of insterest (ROI), defaults to None
         :type span: tuple, optional
+        :param fringeRemoval: If also crop the reference background images for finges removal function, defaults to False
+        :type fringeRemoval: bool, optional
         :return: The croped images
         :rtype: xarray DataArray or DataSet
         """
@@ -279,6 +281,8 @@ class ImageAnalyser():
 
         :param dataSet: The data from absorption imaging.
         :type dataSet: xarray DataSet
+        :param fringeRemoval: If use fringe removal function, defaults to False
+        :type fringeRemoval: bool, optional
         :param dask: over write of the same argument in xarray.apply_ufunc, defaults to 'allowed'
         :type dask: str, optional
         :param keep_attrs: over write of the same argument in xarray.apply_ufunc, defaults to True
@@ -382,14 +386,6 @@ class ImageAnalyser():
         """
         self._fringeRemoval.span = value
         
-    # @property
-    # def fringeRemovalReferenceImages(self):
-    #     return self._fringeRemoval.referenceImages
-    
-    # @fringeRemovalReferenceImages.setter
-    # def fringeRemovalReferenceImages(self, value):
-    #     self._fringeRemoval.referenceImages = value
-        
     def load_fringe_removal_background_from_hdf5(self, img_dir, SequenceName, data, shotNum, group, crop=False, load=False, **kwargs):
         folderPath = img_dir + SequenceName + "/" + data
         filePath = folderPath + "/" + shotNum + "/*.h5"