diff --git a/Chapter10/Readme.md b/Chapter10/Readme.md
index 2aca9612c0ddbfba239fe9f6c8d7b95098c0fbd6..46602a5fb5fd8a4eebf87a9ebd40adb13fe74e29 100644
--- a/Chapter10/Readme.md
+++ b/Chapter10/Readme.md
@@ -13,7 +13,9 @@ You can open the notebook in Google Colab from here, and enable GPU :
 
 ## Run the notebook on DTU Gbar
 
-You can run the notebook on Gbar on an interactive GPU node. First get to a terminal on the cluster either ssh, ThinLinc client, or browser-based ThinLinc [thinlinc.gbar.dtu.dk](thinlinc.gbar.dtu.dk). Open the terminal (command line).
+You can run the notebook on Gbar on an interactive GPU node. 
+
+First get to a terminal on the cluster, either with ssh, ThinLinc client, or a browser-based ThinLinc [thinlinc.gbar.dtu.dk](thinlinc.gbar.dtu.dk). Open the terminal (command line).
 
 Log onto an interactive GPU node such as `voltash` by running the following command on the command line:
 
@@ -25,13 +27,13 @@ To set up a Python environment, you can use the script `env02506.sh` which we pr
 
 The first time you run this, the script will create a new python environment called `env02506` and activate it.
 
-Then you should install the packages needed which include:
-
-`pip install torch torchvision`
-
-`pip install Pillow`
+Then you should install the packages:
 
-`pip install notebook`
+```
+pip install torch torchvision
+pip install Pillow
+pip install notebook
+```
 
 Now you are good to go. You can navigate to the folder that you wish to store the code, download the notebook from the link above, and open a jupyter notebook by typing the following in the command line:
 
@@ -40,7 +42,11 @@ Now you are good to go. You can navigate to the folder that you wish to store th
 ## Use QIM platform 
 
 We are working on establishing an easier way of using Gbar functionality which does the steps described above automatically. This is still experimental.
-Go to [https://platform.qim.dk/](https://platform.qim.dk/). Log on. Under Tools start Jupyter launcher. Type in your DTU credentials (it still needs to be done twice). Under basic config QIM environment choose `qim3d` (it has the largest number of packages installed). Under advanced config choose HPC que called `gpuqim`. Tick the checkbox Reset SSH tunnel. Click the button `Start jupyter server`. 
+
+First go to QIM platform [https://platform.qim.dk/](https://platform.qim.dk/) and log on using your DTU credentials.
+
+Under Tools menu, choose Jupyter launcher. In the new window yype in your DTU credentials (needs to be done twice). Under basic config QIM environment choose `qim3d` (it has the largest number of packages installed). Under advanced config choose HPC queue called `gpuqim`. Tick the checkbox Reset SSH tunnel. Click the button `Start jupyter server`. 
+
 The platform shold launch your job and a button with `Open Jupyter` should appear, leading you to a jupyter server running in your home directory on the Gbar.