Add some information about itkwidgets

Author: bnmajor

notebooks/getting_started/part3_exploring_cohorts.ipynb

@@ -527,16 +527,25 @@
       ]
     },
     {
+      "attachments": {},
       "cell_type": "markdown",
       "metadata": {
         "id": "-zRHvX1ZK-Dn"
       },
       "source": [
         "### itkwidgets\n",
         "\n",
-        "#### With itkwidgets we don't even need to leave the notebook to view our data! We can view the full 3D model or view slices as well as choose whether or not we'd like to display segmentation label maps with our image data.\n",
+        "ITKWidgets is a [python package](https://pypi.org/project/itkwidgets/) that leverages [itk-wasm](https://wasm.itk.org/) and [ImJoy](https://imjoy.io/) to provide interactive 3D visualiztion without ever needing to leave your notebook! Be sure to check out the [docs](https://itkwidgets.readthedocs.io/en/latest/) where you can learn more about the support for various data formats that itkwidgets provides and where you will also find links to [example notebooks](https://github.com/InsightSoftwareConsortium/itkwidgets/tree/main/examples) that you can try."
+      ]
+    },
+    {
+      "attachments": {},
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We can use itkwidgets to view the full 3D model or view slices as well as choose whether or not we'd like to display segmentation label maps with our image data.\n",
         "\n",
-        "We will first sort the data by the study and series UID into the PatientID/StudyInstanceUID/Modality/SeriesInstanceUID hierarchy. This will allow us to quickly select which series we'd like to view as our image data (CT) and which we'll view as our label map (SEG)."
+        "First, we will sort the data by the study and series UID into the PatientID/StudyInstanceUID/Modality/SeriesInstanceUID hierarchy. This will allow us to quickly select which series we'd like to view as our image data (CT) and which we'll view as our label map (SEG)."
       ]
     },
     {