@@ -83,6 +83,7 @@ parts:
               - file: docs/dlc-live/dlc-live-gui/user_guide/cameras_backends/basler_backend
               - file: docs/dlc-live/dlc-live-gui/user_guide/cameras_backends/aravis_backend
               - file: docs/dlc-live/dlc-live-gui/user_guide/cameras_backends/gentl_backend
+          - file: docs/dlc-live/dlc-live-gui/user_guide/camera_config
           - file: docs/dlc-live/dlc-live-gui/user_guide/misc/misc_landing
             sections:
               - file: docs/dlc-live/dlc-live-gui/user_guide/misc/modelzoo_downloads
 
@@ -149,7 +149,7 @@ def adapt_labeled_data_to_new_project(
             old_bodyparts = np.unique(df.iloc[2, 3:])
             print("Old bodyparts:", old_bodyparts)
 
-            # Get the unmber of old bodyparts
+            # Get the number of old bodyparts
             num_of_old_bodyparts = len(old_bodyparts)
 
             # Bodyparts to add
 
@@ -25,7 +25,7 @@ estimation framework that is:
 - user defined pose estimation - i.e. species or object agnostic.
 - access to SOTA deep learning models that can be swiftly re-trained for customized applications
 - fast (GPU-powered)
-- scalable (project focused for ease of portability and sharability)
+- scalable (project focused for ease of portability and shareability)
 
 As the project has grown we've turned these original principles into the mission statement and set of values that we
 described below.
 
@@ -10,12 +10,10 @@ A graphical application for **real-time pose estimation with DeepLabCut** using
 
 This GUI is designed for **scientists and experimenters** who want to preview, run inference, and record synchronized video with pose overlays—without writing code.
 
-## Table of Contents
+## Table of contents
 
-- {doc}`Installation <./quickstart/install>`
-- {doc}`Overview <./user_guide/overview>`
-- {doc}`Camera setup and backends <./user_guide/cameras_backends/camera_support>`
-- {doc}`Timestamp format and synchronization <./user_guide/misc/timestamp_format>`
+```{tableofcontents}
+```
 
 ```{caution}
 Please be aware of the {ref}`sec:dlclivegui-index-limitations`
@@ -67,13 +65,15 @@ Before getting started, be aware of the following constraints:
 
 - Pose inference runs on **one selected camera at a time** (even in multi-camera mode)
 - Camera synchronization depends on **backend capabilities and hardware**
-  - OpenCV controls for resolution and FPS are "best effort" and may not work with all cameras.
-    Expect inconsistencies when setting certain frame rates or resolutions as resolution depends on the device driver.
+  - OpenCV controls for resolution and FPS are "best effort" and may not work with all cameras
+    Expect inconsistencies when setting certain frame rates or resolutions as resolution depends on the device driver
+  - Trigger settings and hardware timestamps are supported for some backends only
 - DeepLabCut Live models must be **exported and compatible** with the selected backend
   - Some SuperAnimal models from {ref}`file:model-zoo` may not work out of the box.<br>This is currently a known issue for:
     - SuperHuman model (missing detector)
 - **Performance** depends on camera resolution, frame rate, GPU availability, and codec choice
-  - Expect bottlenecks with heavy models, multiple high-resolution cameras, or CPU-only inference.
+  - Use faster encoding presets and retain Mono format on supported mono cameras for best performance
+  - Expect bottlenecks with heavy models, multiple high-resolution cameras, or CPU-only inference
 
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