diff --git a/notebooks/cnmfe.ipynb b/notebooks/cnmfe.ipynb
index b098134..0653153 100644
--- a/notebooks/cnmfe.ipynb
+++ b/notebooks/cnmfe.ipynb
@@ -224,7 +224,7 @@
    "outputs": [],
    "source": [
     "# create a slider for gSig_filt\n",
-    "slider_gsig_filt = IntSlider(min=1, max=33, step=2,  description=\"gSig_filt\")\n",
+    "slider_gsig_filt = IntSlider(value=3, min=1, max=33, step=2,  description=\"gSig_filt\")\n",
     "\n",
     "def apply_filter(frame):\n",
     "    # read slider value\n",
@@ -244,7 +244,6 @@
     "iw_gs = ImageWidget(\n",
     "    data=[input_movie, input_movie.copy()],\n",
     "    frame_apply=funcs,\n",
-    "    vmin_vmax_sliders=True,\n",
     "    cmap=\"gnuplot2\"\n",
     ")\n",
     "\n",
@@ -266,19 +265,7 @@
    "id": "511192a7-6e25-49cf-8175-0ecfb0001662",
    "metadata": {},
    "source": [
-    "# reset vmin vmax when necessary!!!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "79cd6ec4-d7a4-4230-9996-4bfc5d27a7d1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# the filtered images will have much lower min and max\n",
-    "# this resets the vmin vmax sliders on the ImageWidget\n",
-    "iw_gs.reset_vmin_vmax()"
+    "# reset vmin vmax when necessary!"
    ]
   },
   {
@@ -554,7 +541,6 @@
    "execution_count": null,
    "id": "be469f61-b712-4832-b8be-5118cd59f5c6",
    "metadata": {
-    "scrolled": true,
     "tags": []
    },
    "outputs": [],
@@ -694,7 +680,6 @@
     "\n",
     "iw = ImageWidget(\n",
     "    [input_movie, mcorr_movie.astype(np.float32)],\n",
-    "    vmin_vmax_sliders=True, \n",
     "    frame_apply=funcs, # the filter func\n",
     "    names=[\"input\", \"mcorr\"],\n",
     "    cmap=\"gnuplot2\",\n",
@@ -730,7 +715,7 @@
    "id": "95b8d84a-5dd0-47e3-870a-df2f6505ced2",
    "metadata": {},
    "source": [
-    "## Close the canvas to free up GPU processing time, not necessary if you have a powerful GPU"
+    "## Close the widget to free up GPU processing time, not necessary if you have a powerful GPU"
    ]
   },
   {
@@ -744,7 +729,7 @@
    },
    "outputs": [],
    "source": [
-    "iw.plot.canvas.close()"
+    "iw.close()"
    ]
   },
   {
@@ -783,13 +768,12 @@
     "\n",
     "# filter using the same sigma to make visualization easier\n",
     "# same filter for all movies, this syntax is just dictionary comprehension\n",
-    "filt = {subplot_ix: lambda frame: high_pass_filter_space(frame, (1, 1)) for subplot_ix in range(len(movies))}\n",
+    "filt = {subplot_ix: lambda frame: high_pass_filter_space(frame, (3, 3)) for subplot_ix in range(len(movies))}\n",
     "\n",
     "# create the widget\n",
     "mcorr_iw_multiple = ImageWidget(\n",
     "    data=movies,  # list of movies\n",
     "    window_funcs={\"t\": (np.mean, 3)}, # window_funcs is also a kwarg\n",
-    "    vmin_vmax_sliders=True,\n",
     "    frame_apply=filt, # same func for all\n",
     "    names=subplot_names,  # subplot names used for titles\n",
     "    cmap=\"gnuplot2\"\n",
@@ -800,24 +784,6 @@
     "mcorr_iw_multiple.show()"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "8145967d-5fab-491c-bf6e-f304cb95eb72",
-   "metadata": {},
-   "source": [
-    "# reset vmin vmax if necessary "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "583b30f8-50eb-41b2-82bf-1973bfe8c00e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mcorr_iw_multiple.reset_vmin_vmax()"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "9ad69731-e057-4ad7-acf7-dd61269ecd72",
@@ -1254,7 +1220,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,