diff --git a/jupyternotebook/lecturefichier/test4.ipynb b/jupyternotebook/lecturefichier/test4.ipynb
index 9726dd0..2a808bf 100644
--- a/jupyternotebook/lecturefichier/test4.ipynb
+++ b/jupyternotebook/lecturefichier/test4.ipynb
@@ -255,7 +255,7 @@
     "\n",
     "pre_volume_transposed = np.transpose(pre_volume)\n",
     "\n",
-    "# Apply the Hilbert transform to the transposed array\n",
+   
     "pre_traitement = abs(hilbert(pre_volume_transposed))\n",
     "\n",
     "traitement = savgol_filter(pre_traitement, window_length=50, polyorder=5)\n",
@@ -263,13 +263,12 @@
     "volume = traitement[:, ::10, :]\n",
     "r, c = volume[0].shape\n",
     "\n",
-    "# Définition du nombre de frames basé sur la profondeur du volume 3D\n",
+   
     "nb_frames = volume.shape[0]\n",
     "\n",
-    "# Définition de l'échelle Z basée sur le nombre de frames\n",
+   
     "z_scale = 6.7 / nb_frames\n",
     "\n",
-    "# Création de la figure avec les frames\n",
     "fig = go.Figure(frames=[go.Frame(data=go.Surface(\n",
     "    z=(z_scale * nb_frames - k * z_scale) * np.ones((r, c)),\n",
     "    surfacecolor=np.flipud(volume[nb_frames - 1 - k]),\n",
@@ -280,7 +279,7 @@
     "    )\n",
     "    for k in range(nb_frames)])\n",
     "\n",
-    "# Ajout des données à afficher avant le début de l'animation\n",
+    
     "fig.add_trace(go.Surface(\n",
     "    z=z_scale * nb_frames * np.ones((r, c)),\n",
     "    surfacecolor=np.flipud(volume[nb_frames - 1]),\n",