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4 changes: 2 additions & 2 deletions docs/source/index.md
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Expand Up @@ -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
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4 changes: 1 addition & 3 deletions docs/source/user_guide/key_concepts.md
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Expand Up @@ -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
Expand Down Expand Up @@ -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)

---