code: def get_categories(self, pipeline, object_name):
      if object_name == IMAGE:
          return [C_COUNT]
      elif object_name == self.object_name:
          return [
              C_LOCATION,
              C_NUMBER,
              C_WORMS,
          ]
      else:
          return []
  
imports: import matplotlib.cm
  import numpy
  from cellprofiler_core.constants.measurement import COLTYPE_INTEGER, M_LOCATION_CENTER_X, M_LOCATION_CENTER_Y, M_NUMBER_OBJECT_NUMBER, FF_COUNT, COLTYPE_FLOAT, IMAGE, C_COUNT, C_LOCATION, C_NUMBER, FTR_CENTER_X, FTR_CENTER_Y, FTR_OBJECT_NUMBER
  from cellprofiler_core.measurement import Measurements
  from cellprofiler_core.module import Module
  from cellprofiler_core.object import Objects, ObjectSet
  from cellprofiler_core.preferences import get_default_colormap
  from cellprofiler_core.setting import Binary
  from cellprofiler_core.setting.subscriber import ImageSubscriber
  from cellprofiler_core.setting.text import LabelName, Integer, Float
  from centrosome.cpmorphology import all_connected_components
  from centrosome.cpmorphology import fixup_scipy_ndimage_result
  from centrosome.cpmorphology import get_line_pts
  from scipy.ndimage import binary_erosion, binary_fill_holes
  from scipy.ndimage import mean
label_desc: Use image node_id 13 for calling the IdentifyDeadWorms obj's underlying member method code with example usage: obj.get_categories(pipeline, object_name) and returns: list, list, list