Merge branch 'main' of https://github.com/computational-cell-analytics/synapse-net into revision

Author: SarahMuth

doc/start_page.md

@@ -36,7 +36,6 @@ cd synapse-net
 ```bash
 conda env create -f environment.yaml
 ```
-If you are using Windows then you have to use a different environment file for the installation: Use `environment_gpu_win.yaml` if you have a GPU and `environment_cpu_win.yaml` without a GPU.
 - You will need to confirm this step. It will take a while. Afterwards you can activate the environment:
 ```bash
 conda activate synapse-net
@@ -54,14 +53,10 @@ to use them.
 
 > Note: If you use `mamba` instead of conda just replace `conda` in the commands above with `mamba`.
 
-> Note: We also provide an environment for a CPU version of SynapseNet. You can install it by replacing `environment.yaml` with `environment_cpu.yaml` in the respective command above. This version can be used for 2D vesicle segmentation, but it does not work for 3D segmentation.
-
-> Note: If you have issues with the CUDA version then install a PyTorch that matches your nvidia drivers. See [pytorch.org](https://pytorch.org/) for details.
-
 ### Updating SynapseNet
 
 If you have installed SynapseNet following the instructions above then you can update it like this:
-- Go to the foloder where you have downloaded SyanapseNet in a terminal, e.g. via `cd synapase-net`
+- Go to the folder where you have downloaded SynapseNet in a terminal, e.g. via `cd synapse-net`
 - Then get the latest changes via git:
 ```bash
 git pull origin main