diff --git a/graxpert/denoising.py b/graxpert/denoising.py
index d5be047..d0cfc92 100644
--- a/graxpert/denoising.py
+++ b/graxpert/denoising.py
@@ -70,7 +70,7 @@ def denoise(image, ai_path, strength, batch_size=4, window_size=256, stride=128,
     if "1.0.0" in ai_path or "1.1.0" in ai_path:
         model_threshold = 1.0
     else:
-        model_threshold = 100.0
+        model_threshold = 10.0
 
     last_progress = 0
     for b in range(0, ith * itw + batch_size, batch_size):
diff --git a/graxpert/ui/left_menu.py b/graxpert/ui/left_menu.py
index 0ce6128..e55c94e 100644
--- a/graxpert/ui/left_menu.py
+++ b/graxpert/ui/left_menu.py
@@ -250,12 +250,12 @@ def create_children(self):
         self.denoise_strength_slider = ValueSlider(
             self.sub_frame, width=default_label_width, variable_name=_("Denoise Strength"), variable=self.denoise_strength, min_value=0.0, max_value=1.0, precision=2
         )
-        tooltip.Tooltip(self.denoise_strength_slider, text=tooltip.bg_tol_text)
+        tooltip.Tooltip(self.denoise_strength_slider, text=tooltip.denoise_strength_text)
         
         self.denoise_threshold_slider = ValueSlider(
             self.sub_frame, width=default_label_width, variable_name=_("Denoise Threshold"), variable=self.denoise_threshold, min_value=0.1, max_value=10.0, precision=1
         )
-        tooltip.Tooltip(self.denoise_threshold_slider, text=tooltip.bg_tol_text)
+        tooltip.Tooltip(self.denoise_threshold_slider, text=tooltip.denoise_threshold_text)
 
     def setup_layout(self):
         super().setup_layout()
diff --git a/graxpert/ui/tooltip.py b/graxpert/ui/tooltip.py
index e28e792..4cb53f6 100644
--- a/graxpert/ui/tooltip.py
+++ b/graxpert/ui/tooltip.py
@@ -180,6 +180,7 @@ def disable(self):
 
 denoise_text = _("Use GraXpert's denoising AI model to reduce the noise in your image. This may take a while")
 denoise_strength_text = _("Determines strength of denoising.")
+denoise_threshold_text = _("Determines the upper bound up to which pixels are denoised. Pixels above this threshold are not denoised and taken from the original image.")
 
 saveas_text = _("Choose the bitdepth of the saved pictures and the file format. " "If you are working with a .fits image the fits header will " "be preserved.")
 save_bg_text = _("Save the background model")