Update app.py

app.py

@@ -314,7 +314,7 @@ def update_viability_realtime(blue_threshold, stored_masks, stored_image_np):
 # Create the Gradio interface
 with gr.Blocks(title="Cell Viability Counter with Trypan Blue Analysis", theme=gr.themes.Soft()) as demo:
     gr.Markdown("# Cell Viability Counter with Trypan Blue Analysis")
-    gr.Markdown("Upload a trypan blue stained microscopy image and analyze cell viability. Dead cells appear blue, alive cells are unstained.")
+    gr.Markdown("Upload a trypan blue stained microscopy image and analyze cell viability. Dead cells appear blue, alive cells are unstained. For accurate cell confluency, crop the image to display only desired area.")
         
     # Define State components to store masks and image data across function calls
     masks_state = gr.State(value=None)
@@ -466,7 +466,7 @@ with gr.Blocks(title="Cell Viability Counter with Trypan Blue Analysis", theme=g
                 
         2. **Analysis Results**:
             - **Cell Count**: Total number of detected cells
-            - **Confluency**: Percentage of image area covered by cells (useful for assessing cell density)
+            - **Confluency**: Percentage of image area covered by cells (useful for assessing cell density). Note that cell confluency is calculated per the entire area of the image input.
                 
         3. **Real-time Viability Assessment (Trypan Blue)**:
             - After segmentation, the viability section will become visible.