diff --git a/docs/source/index.md b/docs/source/index.md
index cff54a3..7a91714 100644
--- a/docs/source/index.md
+++ b/docs/source/index.md
@@ -7,8 +7,8 @@ A Python package for reconstructing movies of rotating samples acquired with a l
 On the left, the mean image of a 3-photon movie in which the head of the animal was rotating. In the center, the mean image after derotation, and on the left the mean image of the derotated movie after suite2p registration. As you can see, already after derotation the cells are visible and have well defined shapes.
 ```
 
-::::{grid} 1 2 2
-:gutter: 2
+::::{grid} 2
+:gutter: 4
 
 :::{grid-item-card} 📘 User guide
 :link: user_guide/index
diff --git a/docs/source/user_guide/key_concepts.md b/docs/source/user_guide/key_concepts.md
index 00e4cfb..07d2c69 100644
--- a/docs/source/user_guide/key_concepts.md
+++ b/docs/source/user_guide/key_concepts.md
@@ -78,7 +78,7 @@ The following inputs are required:
 
 - A **CSV file** describing speeds and directions of rotation in the following format:
 
-  ```csv
+  ```text
   speed,direction
   200,-1
   200,1
@@ -171,5 +171,3 @@ You can find different examples on how to use the Rotator and SyntheticData clas
 - [Use the Rotator to create elliptically rotated data](../examples/elliptical_rotations.rst)
 - [Find center of rotation with synthetic data](../examples/find_center_of_rotation.rst)
 - [Simple rotation and derotation of an image stack](../examples/rotate_and_derotate_a_square.rst)
-
----