code: def cells3d():
      """3D fluorescence microscopy image of cells.
  
      The returned data is a 3D multichannel array with dimensions provided in
      ``(z, c, y, x)`` order. Each voxel has a size of ``(0.29 0.26 0.26)``
      micrometer. Channel 0 contains cell membranes, channel 1 contains nuclei.
  
      Returns
      -------
      cells3d: (60, 2, 256, 256) uint16 ndarray
          The volumetric images of cells taken with an optical microscope.
  
      Notes
      -----
      The data for this was provided by the Allen Institute for Cell Science.
  
      It has been downsampled by a factor of 4 in the row and column dimensions
      to reduce computational time.
  
      The microscope reports the following voxel spacing in microns:
  
          * Original voxel size is ``(0.290, 0.065, 0.065)``.
          * Scaling factor is ``(1, 4, 4)`` in each dimension.
          * After rescaling the voxel size is ``(0.29 0.26 0.26)``.
      """
  
      return _load("data/cells3d.tif")
  
imports: import numpy
  import shutil
  from ..util.dtype import img_as_bool
  from ._registry import registry, registry_urls
  from ..None import __version__
  import os.path
  import os
label_desc: Use image node_id 17 for calling a global function with example usage: cells3d() and returns: _load