diff --git a/SharpPropagation/Population.cs b/SharpPropagation/Population.cs
index 5e6c934..b84995b 100644
--- a/SharpPropagation/Population.cs
+++ b/SharpPropagation/Population.cs
@@ -60,8 +60,10 @@ namespace SharpPropagation
 
         public void Generate()
         {
+            //Parallel.For(0, Dimensions.Width, x =>
             for (int x = 0; x < Dimensions.Width; x++)
             {
+                //Parallel.For(0, Dimensions.Height, y =>
                 for (int y = 0; y < Dimensions.Height; y++)
                 {
                     //The ratios will not be exact, for example someone who wants 100% infected 100% immune and 100% dead, he will have 100% dead because they are overwriting each others
@@ -71,33 +73,33 @@ namespace SharpPropagation
                     //In other words I did it that way but it can be changed just its not the right method to have perfect ratios
                     if (StartInfectedRatio != 0)
                     {
-                        if (StartInfectedRatio == 100 || Roll(Rnd,StartInfectedRatio))
-                        { 
+                        if (StartInfectedRatio == 100 || Roll(Rnd, StartInfectedRatio))
+                        {
                             Humans[x, y] = new Human(new Point(x, y), Human.State.Infected);
                         }
                     }
                     if (StartImmuneRatio != 0)
                     {
-                        if (StartImmuneRatio == 100 || Roll(Rnd,StartImmuneRatio))
+                        if (StartImmuneRatio == 100 || Roll(Rnd, StartImmuneRatio))
                         {
                             Humans[x, y] = new Human(new Point(x, y), Human.State.Immune);
                         }
                     }
                     if (StartDeadRatio != 0)
                     {
-                        if (StartDeadRatio == 100 || Roll(Rnd,StartDeadRatio))
+                        if (StartDeadRatio == 100 || Roll(Rnd, StartDeadRatio))
                         {
                             Humans[x, y] = new Human(new Point(x, y), Human.State.Dead);
                         }
                     }
 
-                    if (Humans[x,y] is null)
+                    if (Humans[x, y] is null)
                     {
                         Humans[x, y] = new Human(new Point(x, y), Human.State.Normal);
                     }
-                    
-                }
-            }
+
+                }//);
+            }//);
         }
         public int[] Propagate()
         {
@@ -108,7 +110,7 @@ namespace SharpPropagation
             //Parallel.For(0, Dimensions.Width,x =>
             for (int x = 0; x < Dimensions.Width; x++)
             {
-                //Parallel.For(0, Dimensions.Width,y =>
+                //Parallel.For(0, Dimensions.Height,y =>
                 for (int y = 0; y < Dimensions.Height; y++)
                 {
                     switch (Humans[x, y].PresentState)
@@ -158,7 +160,6 @@ namespace SharpPropagation
                             ///    ###
 
                             List<Point> potentialInfections = new List<Point>();
-                            //potentialInfections.Add(Humans[person.Position.X,person.Position.Y]);
 
                             potentialInfections.Add(new Point(person.X - 1, person.Y - 1));   //Top Left
                             potentialInfections.Add(new Point(person.X, person.Y - 1));       //Top
@@ -256,6 +257,39 @@ namespace SharpPropagation
         {
             return rnd.Next(0, CORRECTED_PERCENTAGE) < rate;
         }
+        public void DisplayPng(string name)
+        {
+            Bitmap bitmap = new Bitmap(Dimensions.Width,Dimensions.Height);
+            Color color = new Color();
+            using (Graphics g = Graphics.FromImage(bitmap))
+            {
+                //Parallel.For(0, Dimensions.Width, x =>
+                for (int x = 0; x < Dimensions.Width; x++)
+                {
+                    for (int y = 0; y < Dimensions.Height; y++)
+                    {
+                        
+                        switch (Humans[x, y].PresentState)
+                        {
+                            case Human.State.Normal:
+                                color = Color.Green;
+                                break;
+                            case Human.State.Infected:
+                                color = Color.Red;
+                                break;
+                            case Human.State.Immune:
+                                color = Color.Blue;
+                                break;
+                            case Human.State.Dead:
+                                color = Color.Black;
+                                break;
+                        }
+                        bitmap.SetPixel(x, y, color);
+                    }
+                }//);
+            }
+            bitmap.Save(name + ".png",System.Drawing.Imaging.ImageFormat.Png);
+        }
         public void Display()
         {
             //int[] stats = GetStats();
@@ -266,9 +300,12 @@ namespace SharpPropagation
             if (Plague != null)
                 Console.WriteLine(Plague);
             Console.Write("\n");
+
+            //Parallel.For(0, Dimensions.Width, x =>
             for (int x = 0; x < Dimensions.Width; x++)
             {
                 Console.Write("\n");
+                //Parallel.For(0, Dimensions.height, y =>
                 for (int y = 0; y < Dimensions.Height; y++)
                 {
                     switch (Humans[x, y].PresentState)
@@ -297,8 +334,8 @@ namespace SharpPropagation
                     Console.Write(sprite);
                     //We reset to the default 
                     Console.ForegroundColor = ConsoleColor.White;
-                }
-            }
+                }//);
+            }//);
             Console.Write(Environment.NewLine);
         }
     }
diff --git a/SharpPropagation/Program.cs b/SharpPropagation/Program.cs
index b7cdda5..af16d8f 100644
--- a/SharpPropagation/Program.cs
+++ b/SharpPropagation/Program.cs
@@ -17,7 +17,9 @@ namespace SharpPropagation
             Size populationSize = new Size(1000,1000);
             Population peoples = new Population(populationSize,random,10,10,5);
             peoples.SetDisease(new Disease(random,20,10,5,"Chick Chicken"));
+            string ImagesLocation = "Test/";
             //peoples.Display();
+            
             Console.WriteLine($"Propagation started with {populationSize.Width} x {populationSize.Height} humans ({populationSize.Width*populationSize.Height})");
             int[] stats;
             int steps = 0;
@@ -31,6 +33,7 @@ namespace SharpPropagation
                 {
                     break;
                 }
+                peoples.DisplayPng(ImagesLocation+"Test_"+steps);
             }
             //peoples.Display();
             Console.WriteLine($"Propagation finished in {steps}");