Fixed titles under images; fixed typos; more consistent visual language; fixed Advanced page with a workaround

Author: okonrad

mevislab.github.io/content/about/about.md

@@ -19,7 +19,7 @@ Hints common mistakes or steps you should consider beforehand.
 {{</alert>}}
 
 ## Keyboard Shortcuts
-Keyboard shortcuts are incorporated like this:  {{< keyboard "CTRL" "ALT" "2" >}}.
+Keyboard shortcuts are incorporated like this:  {{< keyboard "Ctrl" "Alt" "2" >}}.
 
 ## Networks
 The networks shown and used in the tutorials can be found in the [Examples](examples) section of this page. 

mevislab.github.io/content/contact.md

@@ -10,11 +10,11 @@ draft: false
 Having any questions on MeVisLab Licensing? Please contact the [MeVisLab Sales Team](mailto://sales@mevislab.de)
 
 #### MeVisLab Forum
-Searching for a forum to ask your specific MeVisLab questions? Having trouble with functionalities? Ask [here](https://forum.mevislab.de)! Someone else might know the answer. If not - one of our developers will help you out!
+Searching for a forum to ask your specific MeVisLab questions? Having trouble with functionalities? Ask [here](https://forum.mevislab.de)! Someone else might know the answer. If not — one of our developers will help you out!
 
 #### General Questions
 General questions regarding MeVisLab? Don't hesitate to contact the [MeVisLab Team](mailto://info@mevislab.de).
 
 #### YouTube
-Also: If you haven't yet - have a look at our [YouTube Channel](https://www.youtube.com/channel/UCUGi64NseroIGjga8l7EX8g). You will find a variety of helpful tutorials provided to you by the MeVisLab Team.
+Also: If you haven't yet — have a look at our [YouTube Channel](https://www.youtube.com/channel/UCUGi64NseroIGjga8l7EX8g). You will find a variety of helpful tutorials provided to you by the MeVisLab Team.
 

mevislab.github.io/content/examples/basic_mechanisms/contour_filter/index.md

@@ -13,7 +13,7 @@ Additionally, the images are modified by a local macro module `Filter` and shown
 
 In order to display the same slice (unchanged and changed), the module `SyncFloat` is used to synchronize the field value <field>startSlice</field> in both viewers. The `SyncFloat` module duplicates the value <field>Float1</field> to the field <field>Float2</field> if it differs by <field>Epsilon</field>.
 
-![Screenshot](examples/basic_mechanisms/contour_filter/image.png)
+![Example network](examples/basic_mechanisms/contour_filter/image.png "Example network")
 
 # Download
 You can download the example network [here](examples/basic_mechanisms/contour_filter/ContourFilter.zip)

mevislab.github.io/content/examples/basic_mechanisms/macro_modules_and_module_interaction/example1/index.md

@@ -8,7 +8,7 @@ category: "basic_mechanisms"
 This example contains an entire package structure. Inside, you can find the example contour filter for which a panel was created.
 
 ## Summary
-A new macro module `Filter` has been created. Initially, macro modules do not provide an own panel containing user interface elements such as buttons. The *Automatic Panel* is shown on double-clicking the module providing the name of the module.
+A new macro module `Filter` has been created. Initially, macro modules do not provide an own panel containing user interface elements such as buttons. The *Automatic Panel* is shown on double-clicking {{< mousebutton "left" >}} the module providing the name of the module.
 
 In this example we update the *.script* file of the `Filter` module to display the <field>Kernel</field> field of the `Convolution` module within its network. 
 

mevislab.github.io/content/examples/basic_mechanisms/macro_modules_and_module_interaction/example2/index.md

@@ -12,9 +12,9 @@ A new macro module `IsoCSOs` is created providing two viewers in its internal ne
 
 To showcase how Python functions can be implemented in MeVisLab and called from within a module, additional buttons to browse directories and create contours via the `CSOIsoGenerator` are added. Lastly, a field listener is implemented that reacts to field changes by colorizing contours when the user hovers over them with the mouse. 
 
-![Screenshot](examples/basic_mechanisms/macro_modules_and_module_interaction/example2/image2.png)
+![Example network](examples/basic_mechanisms/macro_modules_and_module_interaction/example2/image2.png "Example network")
 
-![Screenshot](examples/basic_mechanisms/macro_modules_and_module_interaction/example2/image.png)
+![Coloring a contour with Python](examples/basic_mechanisms/macro_modules_and_module_interaction/example2/image.png "Coloring a contour with Python")
 
 # Download
 The files need to be added to a package. You can download the example network [here](examples/basic_mechanisms/macro_modules_and_module_interaction/example2/ScriptingExample2.zip)

mevislab.github.io/content/examples/basic_mechanisms/viewer_application/index.md

@@ -7,7 +7,7 @@ category: "basic_mechanisms"
 # Example 3: Creating a Simple Application
 In this example, you will learn how to create a simple prototype application in MeVisLab including a user interface (UI) with 2D and 3D viewers.
 
-![Screenshot](examples/basic_mechanisms/viewer_application/image.png)
+![Simple application with a 2D and a 3D viewer](examples/basic_mechanisms/viewer_application/image.png "Simple application with a 2D and a 3D viewer")
 
 # Download
 You can download the example network [here](examples/basic_mechanisms/viewer_application/viewerexample.mlab)

mevislab.github.io/content/examples/data_objects/contours/example1/index.md

@@ -9,7 +9,7 @@ Contours are stored as Contour Segmentation Objects (CSOs) in MeVisLab.
 This example highlights ways of creating CSOs using modules of the `SoCSOEditor` group.
 
 {{<alert class="info" caption="Info">}}
-You may want to look at the glossary entry on [*CSOs*](glossary/#contour-segmented-objects).
+You may want to look at the glossary entry on [*CSOs*](glossary/#contour-segmentation-objects).
 {{</alert>}}
 
 The `SoCSOEditor` module group contains several modules, some of which are listed right below:
@@ -30,13 +30,13 @@ The `SoCSOEditor` module group contains several modules, some of which are liste
 Whenever Contour Segmentation Objects are created, they are temporarily stored by and can be managed with the `CSOManager`. 
 {{</alert>}}
 
-In this example, contours are created and colors and styles of these CSOs are customized by using the `SoCSOVisualizationSettings` module.
+In this example, contours are created, and colors and styles of these CSOs are customized by using the `SoCSOVisualizationSettings` module.
 
-![Screenshot](examples/data_objects/contours/example1/image.png)
+![Visualization of a spline CSO is customized](examples/data_objects/contours/example1/image.png "Visualization of a spline CSO is customized")
 
 ## Summary
-* Contours are stored as their own abstract data type called Contour Segmentation Objects (often abbreviated to *CSO*).
-* The `SoCSO\*Editor` module group contains several useful modules to create, interact with or modify CSOs.
+* Contours are stored as their own abstract data type called Contour Segmentation Objects (abbreviated to *CSO*).
+* The `SoCSO\*Editor` module group contains several useful modules to create, interact with, or modify CSOs.
 * Created CSOs are temporarily stored and can be managed using the `CSOManager`.
 
 # Download

mevislab.github.io/content/examples/data_objects/contours/example2/index.md

@@ -12,7 +12,7 @@ In this example, semiautomatic countours are created using the `SoCSOLiveWireEdi
 
 Additional contours between the manually created ones are generated by the `CSOSliceInterpolator` and added to the `CSOManager`. Different groups of contours are created for the left and right lobe of the lung and colored respectively.
 
-![Screenshot](examples/data_objects/contours/example2/image.png)
+![Manually created CSOs are automatically interpolated](examples/data_objects/contours/example2/image.png "Manually created CSOs are automatically interpolated")
 
 # Download
 You can download the example network [here](examples/data_objects/contours/example2/ContourExample2.mlab)

mevislab.github.io/content/examples/data_objects/contours/example3/index.md

@@ -14,7 +14,7 @@ The module `VoxelizeCSO` is used to create a three-dimensional voxel mask of the
 
 Lastly, the panel of the `View3D` module is used to visualize the voxel mask in 3D.
 
-![Screenshot](examples/data_objects/contours/example3/image.png)
+![Manually created CSOs are automatically interpolated and shown in 2D and in 3D](examples/data_objects/contours/example3/image.png "Manually created CSOs are automatically interpolated and shown in 2D and in 3D")
 
 # Download
 You can download the example network [here](examples/data_objects/contours/example3/ContourExample3.mlab)

mevislab.github.io/content/examples/data_objects/contours/example4/index.md

@@ -10,7 +10,7 @@ This example shows how to add annotations to an image.
 ## Summary
 In this example, the network of **Contour Example 3** is extended, so that the volume of the 3D mask generated by the `VoxelizeCSO` module is calculated. The `CalculateVolume` module counts the number of voxels in the given mask and returns the correct volume in ml. The calculated volume will be used for a custom `SoView2DAnnotation` displayed in the `View2D`. 
 
-![Screenshot](examples/data_objects/contours/example4/image.png)
+![Volume of a mask image is calculated and shown as an annoation](examples/data_objects/contours/example4/image.png "Volume of a mask image is calculated and shown as an annoation")
 
 # Download
 You can download the example network [here](examples/data_objects/contours/example4/ContourExample4.mlab)