diff --git a/README.md b/README.md
index b98a14e..3c3d00d 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,7 @@
-If you are using this code in your research, please cite our [preprint](https://arxiv.org/abs/2405.15700)
+If you are using this code in your research, please cite our [preprint](https://arxiv.org/abs/2405.15700):
> Benjamin Gallusser and Martin Weigert
*Trackastra - Transformer-based cell tracking for live-cell microscopy*
arXiv, 2024
## Examples
@@ -42,9 +42,18 @@ Notes:
2. The [SCIP Optimizer](https://www.scipopt.org/), a free and open source solver. If `motile` does not find a valid Gurobi license, it will fall back to using SCIP.
- On MacOS, installing packages into the conda environment before installing `ilpy` can cause problems.
+- 2024-06-07: On Apple M3 chips, you might have to use the nightly build of `torch` and `torchvision`, or worst case build them yourself.
+
## Usage
-The input to *Trackastra* is a sequence of images and their corresponding cell (instance) segmentations.
+The input to Trackastra is a sequence of images and their corresponding cell (instance) segmentations.
+
+### Napari plugin
+
+For a quick try of Trackastra on your data, please use our [napari plugin](https://github.com/weigertlab/napari-trackastra/), which already comes with pretrained models included.
+
+
+
### Tracking with a pretrained model
@@ -107,10 +116,6 @@ v.add_labels(masks_tracked)
v.add_tracks(data=napari_tracks, graph=napari_tracks_graph)
```
-### Napari plugin
-
-We additionally provide a [napari plugin](https://github.com/weigertlab/napari-trackastra/) which allows one to quickly apply pretrained and custom models on custom timeseries.
-
### Training a model on your own data
To run an example