Update video links

Author: constantinpape

README.md

@@ -27,6 +27,7 @@ conda install -c conda-forge micro_sam napari pyqt
 ```
 You can then start the `micro_sam` tools by running `$ micro_sam.annotator` in the command line.
 
+For an introduction in how to use the napari based annotation tools check out [the video tutorials](https://www.youtube.com/watch?v=ket7bDUP9tI&list=PLwYZXQJ3f36GQPpKCrSbHjGiH39X4XjSO&pp=gAQBiAQB).
 Please check out [the documentation](https://computational-cell-analytics.github.io/micro-sam/) for more details on the installation and usage of `micro_sam`.
 
 

doc/annotation_tools.md

@@ -13,9 +13,13 @@ The annotation tools can be started from the `micro_sam` GUI, the command line o
 $ micro_sam.annotator
 ```
 
-They are built with [napari](https://napari.org/stable/) to implement the viewer and user interaction.
+They are built using [napari](https://napari.org/stable/) and [magicgui](https://pyapp-kit.github.io/magicgui/) to provide the viewer and user interface.
 If you are not familiar with napari yet, [start here](https://napari.org/stable/tutorials/fundamentals/quick_start.html).
-The `micro_sam` applications are mainly based on [the point layer](https://napari.org/stable/howtos/layers/points.html), [the shape layer](https://napari.org/stable/howtos/layers/shapes.html) and [the label layer](https://napari.org/stable/howtos/layers/labels.html).
+The `micro_sam` tools use [the point layer](https://napari.org/stable/howtos/layers/points.html), [shape layer](https://napari.org/stable/howtos/layers/shapes.html) and [label layer](https://napari.org/stable/howtos/layers/labels.html).
+
+The annotation tools are explained in detail below. In addition to the documentation we provide [video tutorials](https://www.youtube.com/watch?v=ket7bDUP9tI&list=PLwYZXQJ3f36GQPpKCrSbHjGiH39X4XjSO) for the tools.
+
+
 
 ## Annotator 2D
 
@@ -44,7 +48,7 @@ It contains the following elements:
 
 Note that point prompts and box prompts can be combined. When you're using point prompts you can only segment one object at a time. With box prompts you can segment several objects at once.
 
-Check out [this video](https://youtu.be/DfWE_XRcqN8) for an example of how to use the interactive 2d annotator.
+Check out [this video](https://youtu.be/ket7bDUP9tI) for a tutorial for the 2d annotation tool.
 
 We also provide the `image series annotator`, which can be used for running the 2d annotator for several images in a folder. You can start by clicking `Image series annotator` in the GUI, running `micro_sam.image_series_annotator` in the command line or from a [python script](https://github.com/computational-cell-analytics/micro-sam/blob/master/examples/image_series_annotator.py).
 
@@ -69,7 +73,7 @@ Most elements are the same as in [the 2d annotator](#annotator-2d):
 
 Note that you can only segment one object at a time with the 3d annotator.
 
-Check out [this video](https://youtu.be/5Jo_CtIefTM) for an overview of the interactive 3d segmentation functionality.
+Check out [this video](https://youtu.be/PEy9-rTCdS4) for a tutorial for the 3d annotation tool.
 
 ## Annotator Tracking
 
@@ -93,7 +97,7 @@ Most elements are the same as in [the 2d annotator](#annotator-2d):
 
 Note that the tracking annotator only supports 2d image data, volumetric data is not supported.
 
-Check out [this video](https://youtu.be/PBPW0rDOn9w) for an overview of the interactive tracking functionality.
+Check out [this video](https://youtu.be/Xi5pRWMO6_w) for a tutorial for how to use the tracking annotation tool.
 
 ## Tips & Tricks