code: def add_bin_count(self, can_remove=True):
      group = SettingsGroup()
  
      if can_remove:
          group.append("divider", Divider(line=False))
  
      group.append(
          "wants_scaled",
          Binary(
              "Scale the bins?",
              True,
              doc="""\
  Select *{YES}* to divide the object radially into the number of bins
  that you specify.
  
  Select *{NO}* to create the number of bins you specify based on
  distance. For this option, you will be asked to specify a maximum
  distance so that each object will have the same measurements (which
  might be zero for small objects) and so that the measurements can be
  taken without knowing the maximum object radius before the run starts.
  """.format(
                  **{"YES": "Yes", "NO": "No"}
              ),
          ),
      )
  
      group.append(
          "bin_count",
          Integer(
              "Number of bins",
              4,
              2,
              doc="""\
  Specify the number of bins that you want to use to measure the
  distribution. Radial distribution is measured with respect to a series
  of concentric rings starting from the object center (or more generally,
  between contours at a normalized distance from the object center). This
  number specifies the number of rings into which the distribution is to
  be divided. Additional ring counts can be specified by clicking the *Add
  another set of bins* button.""",
          ),
      )
  
      group.append(
          "maximum_radius",
          Integer(
              "Maximum radius",
              100,
              minval=1,
              doc="""\
  Specify the maximum radius for the unscaled bins. The unscaled binning method creates the number of
  bins that you specify and creates equally spaced bin boundaries up to the maximum radius. Parts of
  the object that are beyond this radius will be counted in an overflow bin. The radius is measured
  in pixels.
  """,
          ),
      )
  
      group.can_remove = can_remove
  
      if can_remove:
          group.append(
              "remover",
              RemoveSettingButton(
                  "", "Remove this set of bins", self.bin_counts, group
              ),
          )
  
      self.bin_counts.append(group)
  
imports: import centrosome.cpmorphology
  import centrosome.propagate
  import centrosome.zernike
  import matplotlib.cm
  import numpy
  import numpy.ma
  import scipy.ndimage
  import scipy.sparse
  from cellprofiler_core.constants.measurement import COLTYPE_FLOAT
  from cellprofiler_core.image import Image
  from cellprofiler_core.module import Module
  from cellprofiler_core.preferences import get_default_colormap
  from cellprofiler_core.setting import HiddenCount, Divider, SettingsGroup, Binary, ValidationError
  from cellprofiler_core.setting.choice import Choice, Colormap
  from cellprofiler_core.setting.do_something import DoSomething, RemoveSettingButton
  from cellprofiler_core.setting.subscriber import LabelSubscriber, ImageListSubscriber, ImageSubscriber
  from cellprofiler_core.setting.text import Integer, ImageName
  from cellprofiler_core.utilities.core.object import crop_labels_and_image, size_similarly
  import cellprofiler.gui.help.content
label_desc: Use image node_id 3 for calling the MeasureObjectIntensityDistribution obj's underlying member method code with example usage: obj.add_bin_count(can_remove) without return types