diff --git a/emi_scanner.py b/emi_scanner.py
index 78f9d20..bc7684e 100644
--- a/emi_scanner.py
+++ b/emi_scanner.py
@@ -170,46 +170,50 @@ def main():
         datadict = {}
 
         ser.write(str.encode(f"G1 Z{z_search} F{feedrate}\r\n"))
+        try:
 
-        for y in np.linspace(args.ystart, args.yend, args.ypts,endpoint=True):
-            if y >= max_y:
-                break
-            else:
-                ser.write(str.encode(f"G1 X{args.xstart+prboffs_x} Y{y+prboffs_y} F{feedrate}\r\n"))
-                time.sleep(2)
-
-            for x in np.linspace(args.xstart, args.xend, args.xpts, endpoint=True):
-                if x >= max_x:
+            for y in np.linspace(args.ystart, args.yend, args.ypts,endpoint=True):
+                if y >= max_y:
                     break
                 else:
-                    ser.write(str.encode(f"G1 X{x+prboffs_x} Z{z_search} F{feedrate}\r\n"))
-                    time.sleep(1)
-                    ser.write(str.encode(f"G1 Z{min_z} F{feedrate}\r\n"))
-                    ser.write(str.encode("M18 \r\n"))  # disable steppers
+                    ser.write(str.encode(f"G1 X{args.xstart+prboffs_x} Y{y+prboffs_y} F{feedrate}\r\n"))
                     time.sleep(2)
-                    tsa.resume()  # scan
-                    data_bytes = tsa.scan(args.fstart, args.fstop, args.pts, 2)
-                    tsa.wait
-                    time.sleep(2)
-                    ser.write(str.encode("M17 X Y Z\r\n"))  # enable steppers
-                    ser.write(str.encode(f"G1 Z{z_search} F{feedrate}\r\n"))
 
-                    freq_arr, data_arr = convert_data_to_arrays(
-                        args.fstart, args.fstop, args.pts, data_bytes
-                    )
-                    datadict[(x, y)] = data_arr
-                    time.sleep(1)
-                    progress+=1
-                    b.update(progress + 1)
-        b.finish()
-        writeCSV(
-            freq_arr,
-            datadict,
-            f'{now.strftime("%Y-%m-%d_%H%M")}_{args.out}.csv',
-            args,
-        )
-        tsa.resume()  # resume so screen isn't still frozen
-        tsa.disconnect()
+                for x in np.linspace(args.xstart, args.xend, args.xpts, endpoint=True):
+                    if x >= max_x:
+                        break
+                    else:
+                        ser.write(str.encode(f"G1 X{x+prboffs_x} Z{z_search} F{feedrate}\r\n"))
+                        time.sleep(1)
+                        ser.write(str.encode(f"G1 Z{min_z} F{feedrate}\r\n"))
+                        ser.write(str.encode("M18 \r\n"))  # disable steppers
+                        time.sleep(2)
+                        tsa.resume()  # scan
+                        data_bytes = tsa.scan(args.fstart, args.fstop, args.pts, 2)
+                        tsa.wait
+                        time.sleep(2)
+                        ser.write(str.encode("M17 X Y Z\r\n"))  # enable steppers
+                        ser.write(str.encode(f"G1 Z{z_search} F{feedrate}\r\n"))
+
+                        freq_arr, data_arr = convert_data_to_arrays(
+                            args.fstart, args.fstop, args.pts, data_bytes
+                        )
+                        datadict[(x, y)] = data_arr
+                        time.sleep(1)
+                        progress+=1
+                        b.update(progress)
+        except:
+            pass
+        finally:
+            b.finish()
+            writeCSV(
+                freq_arr,
+                datadict,
+                f'{now.strftime("%Y-%m-%d_%H%M")}_{args.out}.csv',
+                args,
+            )
+            tsa.resume()  # resume so screen isn't still frozen
+            tsa.disconnect()
 
 
 if __name__ == "__main__":