diff --git a/website/docs/advanced/denoising.md b/website/docs/advanced/denoising.mdx
similarity index 69%
rename from website/docs/advanced/denoising.md
rename to website/docs/advanced/denoising.mdx
index f2e4ce2..c06156e 100644
--- a/website/docs/advanced/denoising.md
+++ b/website/docs/advanced/denoising.mdx
@@ -1,3 +1,5 @@
+import TracerExperiment from "@site/src/components/TracerExperiment";
+
 # Denoising
 
 Denoising can be used as a final step to reduce undesired artifacts in the rendering.
@@ -29,6 +31,25 @@ runPathTracer(target, model, {
 });
 ```
 
+- `sigma` is the standard deviation of the Gaussian kernel.
+- `kSigma` is the kernel size multiplier.
+- `threshold` is the edge sharpening threshold for the denoising.
+
+<TracerExperiment
+  propertiesForConfiguration={[]}
+  defaultMaterialProperties={{
+    oBaseColor: [0.7, 0.7, 0.7],
+    oBaseMetalness: 1.0,
+  }}
+  optionOverrides={{
+    targetSamples: 0,
+  }}
+/>
+
+:::note
+The example does few samples to emphasize the denoising effect.
+:::
+
 ### OIDN
 
 [Open Image Denoise](https://github.com/RenderKit/oidn) is a denoise library which uses machine learning techniques to reduce noise. To configure it, you must provide a URL to a weight file. One option is: [oidn-weights on GitHub.com](https://github.com/RenderKit/oidn-weights/blob/master/rt_hdr_alb_nrm.tza).