diff --git a/examples/11_Extracting_information_from_the_view.ipynb b/examples/11_Extracting_information_from_the_view.ipynb
index ed3afb69..a23d456a 100644
--- a/examples/11_Extracting_information_from_the_view.ipynb
+++ b/examples/11_Extracting_information_from_the_view.ipynb
@@ -15,8 +15,10 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "initial_id",
    "metadata": {},
+   "outputs": [],
    "source": [
     "from astropy.coordinates import SkyCoord\n",
     "import astropy.units as u\n",
@@ -26,20 +28,18 @@
     "import matplotlib.pyplot as plt\n",
     "\n",
     "from ipyaladin import Aladin"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "2e62d34eb8543145",
    "metadata": {},
+   "outputs": [],
    "source": [
     "aladin = Aladin(fov=5, height=600, target=\"M31\")\n",
     "aladin"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -53,13 +53,13 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "84153657cb7cd837",
    "metadata": {},
+   "outputs": [],
    "source": [
     "aladin.wcs  # Recover the current WCS"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -71,17 +71,17 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "a63f210b-3a64-4860-8e70-42a4c66378fa",
    "metadata": {},
+   "outputs": [],
    "source": [
     "aladin.height = 800\n",
     "aladin.survey = \"CDS/P/PLANCK/R2/HFI/color\"\n",
     "aladin.target = \"LMC\"\n",
     "aladin.frame = \"Galactic\"\n",
     "aladin.fov = 50"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -93,13 +93,13 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "2ddc9637-b5c3-4412-8435-2302b6d86816",
    "metadata": {},
+   "outputs": [],
    "source": [
     "aladin.wcs"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -115,13 +115,13 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "9595ae02388b245a",
    "metadata": {},
+   "outputs": [],
    "source": [
     "aladin.fov_xy  # Recover the current field of view for the x and y axis"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -134,8 +134,10 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "bb48cb19a597e262",
    "metadata": {},
+   "outputs": [],
    "source": [
     "m1 = SkyCoord.from_name(\"m1\")\n",
     "\n",
@@ -144,23 +146,21 @@
     "usno = Vizier(catalog=\"I/284/out\", row_limit=-1).query_region(m1, radius=0.05 * u.deg)[\n",
     "    0\n",
     "]"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "0030a996",
    "metadata": {},
+   "outputs": [],
    "source": [
     "aladin.add_table(simbad, name=\"simbad\", color=\"purple\", shape=\"circle\", source_size=20)\n",
     "aladin.add_table(usno, name=\"usno\", color=\"teal\", shape=\"square\", source_size=20)\n",
     "aladin.target = m1\n",
     "aladin.fov = 0.3\n",
     "aladin.survey = \"CDS/P/PanSTARRS/DR1/g\""
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -172,13 +172,13 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "3efb33016d863bf7",
    "metadata": {},
+   "outputs": [],
    "source": [
     "aladin.selection(\"circle\")"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -190,74 +190,69 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "cda32891dd654568",
    "metadata": {},
+   "outputs": [],
    "source": [
     "aladin.selected_objects"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
+   "id": "c84e856d82dbde63",
+   "metadata": {},
    "source": [
     "## Getting the view as a fits file\n",
     "The following method allow you to retrieve the current view as a fits file. If a `path` is given as a second argument, the fits file will be saved."
-   ],
-   "id": "c84e856d82dbde63"
+   ]
   },
   {
-   "metadata": {},
    "cell_type": "code",
-   "source": "fits = aladin.get_view_as_fits()",
+   "execution_count": null,
    "id": "6b0d3e2131e9faa2",
+   "metadata": {},
    "outputs": [],
-   "execution_count": null
+   "source": [
+    "fits = aladin.get_view_as_fits()"
+   ]
   },
   {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "020d2c7f",
    "metadata": {},
-   "cell_type": "markdown",
-   "source": "Display the fits file using matplotlib:",
-   "id": "36a996b424529c09"
+   "outputs": [],
+   "source": [
+    "fits[0].header"
+   ]
   },
   {
+   "cell_type": "markdown",
+   "id": "36a996b424529c09",
    "metadata": {},
+   "source": [
+    "Display the fits file using matplotlib:"
+   ]
+  },
+  {
    "cell_type": "code",
+   "execution_count": null,
+   "id": "8327802bad8e8c87",
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "wcs = WCS(fits[0].header).dropaxis(2)\n",
+    "wcs = WCS(fits[0].header)\n",
     "\n",
     "plt.subplot(projection=wcs)\n",
-    "plt.imshow(fits[0].data[0, :, :], cmap=\"gray\")"
-   ],
-   "id": "8327802bad8e8c87",
-   "outputs": [],
-   "execution_count": null
+    "plt.imshow(fits[0].data, cmap=\"binary_r\", norm=\"asinh\", vmin=0.001)"
+   ]
   }
  ],
  "metadata": {
-  "nbsphinx": {
-    "execute": "never"
-  },
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
   "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.8"
-  },
-    "version_major": 2,
-    "version_minor": 0
+   "name": "python"
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 5