docs: def download_segmentation_image_file(self, mapobject_type_name,
              plate_name, well_name, well_pos_y, well_pos_x, tpoint, zplane, align,
              directory):
          '''Downloads a segmentation image and writes it to a *PNG* file on disk.
  
          Parameters
          ----------
          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
              zero-based time point index
          zplane: int
              zero-based z-plane index
          align: bool
              option to apply alignment to download
          directory: str
              absolute path to the directory on disk where the file should be saved
  
          Warning
          -------
          Due to the *PNG* file format the approach is limited to images which
          contain less than 65536 objects.
  
          See also
          --------
          :meth:`tmclient.api.TmClient.download_segmentation_image`
          '''
          response = self._download_segmentation_image(
              mapobject_type_name, plate_name, well_name, well_pos_y, well_pos_x,
              tpoint, zplane, align
          )
          image = np.array(response, np.int32)
          if np.max(image) >= 2**16:
              raise ValueError(
                  'Cannot store segmentation image as PNG file because it '
                  'contains more than 65536 objects.'
              )
          filename = '{0}_{1}_{2}_y{3:03d}_x{4:03d}_z{5:03d}_t{6:03d}_{7}.png'.format(
              self.experiment_name, plate_name, well_name, well_pos_y,
              well_pos_x, zplane, tpoint, mapobject_type_name
          )
          data = cv2.imencode(filename, image.astype(np.uint16))[1]
          self._write_file(directory, filename, data)