docs: def download_segmentation_image(self, mapobject_type_name,
              plate_name, well_name, well_pos_y, well_pos_x, tpoint=0, zplane=0, align = False):
          '''Downloads a segmentation image.
  
          Parameters
          ----------
          plate_id: int
              ID of the parent experiment
          mapobject_type_name: str
              name of the segmented objects
          plate_name: str
              name of the plate
          well_name: str
              name of the well in which the image is located
          well_pos_y: int
              y-position of the site relative to the well grid
          well_pos_x: int
              x-position of the site relative to the well grid
          tpoint: int, optional
              zero-based time point index (default: ``0``)
          zplane: int, optional
              zero-based z-plane index (default: ``0``)
          align: bool, optional
              option to apply alignment to download
  
          Returns
          -------
          numpy.ndarray[numpy.int32]
              labeled image where each label encodes a segmented object
  
          See also
          --------
          :func:`tmserver.api.mapobject.download_segmentations`
          :class:`tmlib.models.mapobject.MapobjectSegmentation`
          '''
          response = self._download_segmentation_image(
              mapobject_type_name, plate_name, well_name, well_pos_y, well_pos_x,
              tpoint, zplane, align
          )
          return np.array(response, dtype=np.int32)