diff --git a/notebooks/high_dimensional_ct_hugging_face.ipynb b/notebooks/high_dimensional_ct_hugging_face.ipynb
index 2afbf83..5c89163 100644
--- a/notebooks/high_dimensional_ct_hugging_face.ipynb
+++ b/notebooks/high_dimensional_ct_hugging_face.ipynb
@@ -280,7 +280,7 @@
         "\n",
         "The MedGemma image encoder accepts RGB, 8-bits per channel images as input. MedGemma has also been trained to interpret CT images where the RGB channels of input images correspond to a novel windowing representation to enable it to interpret multiple representations of CT imaging simultaneously.  Specifically, MedGemma 1.5 has been trained with the components defined as follows:\n",
         "  * Red (component 0):  Wide window; range: -1024 HU ([air](https://en.wikipedia.org/wiki/Hounsfield_scale)) to 1024 HU ([above bone](https://en.wikipedia.org/wiki/Hounsfield_scale))\n",
-        "  * Green (component 1):  Soft tissue window; range: 135 HU ([fat](https://en.wikipedia.org/wiki/Hounsfield_scale)) to 215 HU ([start of bone](https://en.wikipedia.org/wiki/Hounsfield_scale))\n",
+        "  * Green (component 1):  Soft tissue window; range: -135 HU ([fat](https://en.wikipedia.org/wiki/Hounsfield_scale)) to 215 HU ([start of bone](https://en.wikipedia.org/wiki/Hounsfield_scale))\n",
         "  * Blue (component 2): Brain window; range: 0 HU ([water](https://en.wikipedia.org/wiki/Hounsfield_scale)) to 80 HU  ([brain](https://en.wikipedia.org/wiki/Hounsfield_scale))\n",
         "\n",
         "  Since each of the RGB channels in the prompt images corresponds to a windowing prompt, imaging prepared using this method will visually appear in color.\n",