Enhance Cellpose documentation with info icons

Updated the Cellpose plugin documentation to include info icons for tutorials.

Author: gletort

_pages/plugins/cellpose.md

@@ -13,11 +13,11 @@ While Cellpose is a python package, several options exists in Fiji to run it:
 
 - [Fiji-Cellpose](https://imagej.net/plugins/cellpose-appose): handles `Cellpose` thanks to [Appose](https://apposed.org/).
   Appose creates and activates python virtual environment automatically, without any action from the user.
-  This [youtube tutorial](https://www.youtube.com/watch?v=orySPQ2Hk-w) shows how to use this plugin.
+    {% include icon name='info' content="In addition of the online documentation, this [youtube tutorial](https://www.youtube.com/watch?v=orySPQ2Hk-w) shows how to use this plugin." %}
 
 - [TrackMate-Cellpose](https://imagej.net/plugins/trackmate/detectors/trackmate-cellpose) allows to both run Cellpose to segment objects and track them in time.
   In the current version, the user has to install a virtual environment with `Cellpose` to be able to use it but in coming versions, it will be automatically handled also thanks to Appose.
-  This [tutorial](https://github.com/AlexHego/Cellpose_TrackMate_LiveCell) guide you through the installation and usage of TrackMate-Cellpose, including creation of the python environment.
+ {% include icon name='info' content="In addition of the online documentation, this [tutorial](https://github.com/AlexHego/Cellpose_TrackMate_LiveCell) guide you through the installation and usage of TrackMate-Cellpose, including creation of the python environment. " %}
 
 - [BioP](https://github.com/BIOP/ijl-utilities-wrappers) offers the possibility to run several deep learning algorithms, including `Cellpose` from Fiji.
   It also requires the user to install a virtual environment before to be able to use it.