X/Y/Z anisotropic voxel scaling possible with the itkwidgets.view function?

AnisotropicSpacing.ipynb

{
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   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "import itk\n",
    "import imageio\n",
    "\n",
    "from itkwidgets import view"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reads in metdata into the image data structure\n",
    "image = imageio.volread('000200.raw.tif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "image = itk.image_view_from_array(image)\n",
    "image.SetSpacing([0.52,0.52,1.98])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3b9ab9373610414ab099d4c7f721183a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Viewer(geometries=[], gradient_opacity=0.6, point_sets=[], rendered_image=<itk.itkImagePython.itkImageUS3; pro…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "view(image, gradient_opacity=0.6, rotate=True, ui_collapsed=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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