code: def slice_along_axes(image, slices, axes=None, copy=False):
      """Slice an image along given axes.
  
      Parameters
      ----------
      image : ndarray
          Input image.
      slices : list of 2-tuple (a, b) where a < b.
          For each axis in `axes`, a corresponding 2-tuple
          ``(min_val, max_val)`` to slice with (as with Python slices,
          ``max_val`` is non-inclusive).
      axes : int or tuple, optional
          Axes corresponding to the limits given in `slices`. If None,
          axes are in ascending order, up to the length of `slices`.
      copy : bool, optional
          If True, ensure that the output is not a view of `image`.
  
      Returns
      -------
      out : ndarray
          The region of `image` corresponding to the given slices and axes.
  
      Examples
      --------
      >>> from skimage import data
      >>> img = data.camera()
      >>> img.shape
      (512, 512)
      >>> cropped_img = slice_along_axes(img, [(0, 100)])
      >>> cropped_img.shape
      (100, 512)
      >>> cropped_img = slice_along_axes(img, [(0, 100), (0, 100)])
      >>> cropped_img.shape
      (100, 100)
      >>> cropped_img = slice_along_axes(img, [(0, 100), (0, 75)], axes=[1, 0])
      >>> cropped_img.shape
      (75, 100)
      """
  
      # empty length of bounding box detected on None
      if not slices:
          return image
  
      if axes is None:
          axes = list(range(image.ndim))
          if len(axes) < len(slices):
              raise ValueError("More `slices` than available axes")
  
      elif len(axes) != len(slices):
          raise ValueError("`axes` and `slices` must have equal length")
  
      if len(axes) != len(set(axes)):
          raise ValueError("`axes` must be unique")
  
      if not all(a >= 0 and a < image.ndim for a in axes):
          raise ValueError(
              f"axes {axes} out of range; image has only "
              f"{image.ndim} dimensions"
          )
  
      _slices = [
          slice(None),
      ] * image.ndim
      for (a, b), ax in zip(slices, axes):
          if a < 0:
              a %= image.shape[ax]
          if b < 0:
              b %= image.shape[ax]
          if a > b:
              raise ValueError(
                  f"Invalid slice ({a}, {b}): must be ordered `(min_val, max_val)`"
              )
          if a < 0 or b > image.shape[ax]:
              raise ValueError(
                  f"Invalid slice ({a}, {b}) for image with dimensions {image.shape}"
              )
          _slices[ax] = slice(a, b)
  
      image_slice = image[tuple(_slices)]
  
      if copy and image_slice.base is not None:
          image_slice = image_slice.copy()
  
      return image_slice
  
label_desc: Use image node_id 1 for calling a global function with example usage: slice_along_axes(image, slices, axes, copy) and returns: image_slice, image