diff --git a/skimage/measure/_marching_cubes.py b/skimage/measure/_marching_cubes.py
index a761ece4..09332d1c 100644
--- a/skimage/measure/_marching_cubes.py
+++ b/skimage/measure/_marching_cubes.py
@@ -83,17 +83,24 @@ def marching_cubes(volume, level=None, spacing=(1., 1., 1.),
     To quantify the area of an isosurface generated by this algorithm, pass
     outputs directly into `skimage.measure.mesh_surface_area`.
 
-    Regarding visualization of algorithm output, the ``mayavi`` package
-    is recommended. To contour a volume named `myvolume` about the level 0.0::
+    Regarding visualization of algorithm output, to contour a volume
+    named `myvolume` about the level 0.0, using the ``mayavi`` package::
 
       >>> from mayavi import mlab # doctest: +SKIP
-      >>> verts, faces = marching_cubes(myvolume, 0.0, (1., 1., 2.)) # doctest: +SKIP
+      >>> verts, faces = marching_cubes(myvolume, 0.0) # doctest: +SKIP
       >>> mlab.triangular_mesh([vert[0] for vert in verts],
       ...                      [vert[1] for vert in verts],
       ...                      [vert[2] for vert in verts],
       ...                      faces) # doctest: +SKIP
       >>> mlab.show() # doctest: +SKIP
-
+    
+    Similarly using the ``visvis`` package::
+    
+      >>> import visvis as vv # doctest: +SKIP
+      >>> verts, faces = marching_cubes(myvolume, 0.0) # doctest: +SKIP
+      >>> vv.mesh(np.fliplr(verts), faces) # doctest: +SKIP
+      >>> vv.use().Run() # doctest: +SKIP
+      
     References
     ----------
     .. [1] Lorensen, William and Harvey E. Cline. Marching Cubes: A High