code: def _get_calibration_params(self):
          
          params = {}
          idx_table = []
          val_table = []
          for elt in self.mda['image_data_function'].split(b'\r\n'):
              try:
                  key, val = elt.split(b':=')
                  try:
                      idx_table.append(int(key))
                      val_table.append(float(val))
                  except ValueError:
                      params[key] = val
              except ValueError:
                  pass
          params['indices'] = np.array(idx_table)
          params['values'] = np.array(val_table, dtype=np.float32)
          return params
docs: Get the calibration parameters from the metadata.