diff --git a/scanner.py b/scanner.py
index 3044700..0e67a39 100644
--- a/scanner.py
+++ b/scanner.py
@@ -189,7 +189,7 @@ class TelnetReader:
         # Main loop: reads incoming lines forever
         try:
             while state["freq"] > state["stop_freq"]:
-                if state["initializing"] == 1:
+                if state["initializing"]>0:
                   self.process_line("Va=")
                 else:
                   line = self.tn.read_until(b"\n")        # read line
@@ -240,43 +240,46 @@ class TelnetReader:
                 response = f"a{state["ampl"]:.1f}\r"  # set amplitude
             self.tn.write(response.encode("utf-8"))
             # there will be a lot of lines, but they will be skipped as they do not match the pattern
-        else:   # regular loop (not initializing)
-            extract_to_dataframe(line)  # capture the measurement
-            if state["freq"]>3.0:
-                Inoise_baseline = 0.8*Inoise_baseline + 0.2*data_rows[-1][12]    # remember last baseline around 3Hz (assuming top-down scanning)
-            if data_rows and (state["freq"]>10) and (data_rows[-1][11]>state["allowed_noise_level"] or data_rows[-1][12]>state["allowed_noise_level"]):  # or (state["freq"]<3.0 and data_rows[-1][12]>1.25*Inoise_baseline)):
-                # Too much noise: add to blacklist
-                print("Too much noise - adding to blacklist")
-                blacklist.append({"Freq": state["freq"], "NrToSkip": state["skip_scans_for_noisy_freqs"]})
-                print(f"Blacklist: {blacklist}\r")
-                del data_rows[-1]       # remove this last entry from the list (for DB it is okay, but for CSV things will shift)
-            else:
-                if data_rows and (data_rows[-1][7]<5 or data_rows[-1][8]>250 or data_rows[-1][9]<5 or data_rows[-1][10]>250):   # XXXDB
-                    if (++n_clip_events > 2):       # react only after multiple clip events (solves startup issue)
-                        if data_rows[-1][9]>0:      # make exception (for our broken hardware?)
-                            state["freq"] = 0       # force ending of the scan, and write no data in the database
+            state["initializing"] = 2
+        else:   # regular loop (initializing is 0 (normal) or 2 (first sample))
+            if state["initializing"] == 0:
+                extract_to_dataframe(line)  # capture the measurement
+                if state["freq"]>3.0:
+                    Inoise_baseline = 0.8*Inoise_baseline + 0.2*data_rows[-1][12]    # remember last baseline around 3Hz (assuming top-down scanning)
+                if data_rows and (state["freq"]>10) and (data_rows[-1][11]>state["allowed_noise_level"] or data_rows[-1][12]>state["allowed_noise_level"]):  # or (state["freq"]<3.0 and data_rows[-1][12]>1.25*Inoise_baseline)):
+                    # Too much noise: add to blacklist
+                    print("Too much noise - adding to blacklist")
+                    blacklist.append({"Freq": state["freq"], "NrToSkip": state["skip_scans_for_noisy_freqs"]})
+                    print(f"Blacklist: {blacklist}\r")
+                    del data_rows[-1]       # remove this last entry from the list (for DB it is okay, but for CSV things will shift)
                 else:
-                    n_clip_events=0
-            # calculate next freq
-            if state["freq"] > 1.0:
-                freq_multiplier = state["freq_step_multiply"]     # calc next freq
-            else:
-                if state["freq"] > 0.01:
-                    freq_multiplier = state["freq_step_multiply"] ** 2  # skip 1/2 steps to speed up
+                    if data_rows and (data_rows[-1][7]<5 or data_rows[-1][8]>250 or data_rows[-1][9]<5 or data_rows[-1][10]>250):   # XXXDB
+                        if (++n_clip_events > 2):       # react only after multiple clip events (solves startup issue)
+                            if data_rows[-1][9]>0:      # make exception (for our broken hardware?)
+                                state["freq"] = 0       # force ending of the scan, and write no data in the database
+                    else:
+                        n_clip_events=0
+                # calculate next freq
+                if state["freq"] > 1.0:
+                    freq_multiplier = state["freq_step_multiply"]     # calc next freq
                 else:
-                    freq_multiplier = state["freq_step_multiply"] ** 4  # skip 3/4 steps to speed up
-            state["freq"] *= freq_multiplier
-            while (any(item["Freq"] == state["freq"] for item in blacklist)):
-                print("skipping freq")
-                state["freq"] *= freq_multiplier              # skip all frequencies that are blacklisted
-        if state["freq"] <= state["stop_freq"]:
-            print("Reached stop frequency")
-        else:
-            # program the health monitor to go to the next frequency:
-            response = f"\rQ{state["freq"]:.3f}\r"  # new freq
-            self.tn.write(response.encode("utf-8"))
-#            print(state)
-        state["initializing"] = 0
+                    if state["freq"] > 0.01:
+                        freq_multiplier = state["freq_step_multiply"] ** 2  # skip 1/2 steps to speed up
+                    else:
+                        freq_multiplier = state["freq_step_multiply"] ** 4  # skip 3/4 steps to speed up
+                state["freq"] *= freq_multiplier
+                while (any(item["Freq"] == state["freq"] for item in blacklist)):
+                    print("skipping freq")
+                    state["freq"] *= freq_multiplier              # skip all frequencies that are blacklisted
+
+            if state["freq"] <= state["stop_freq"]:
+                print("Reached stop frequency")
+            else:
+                # program the health monitor to go to the next frequency:
+                response = f"\rQ{state["freq"]:.3f}\r"  # new freq
+                self.tn.write(response.encode("utf-8"))
+#                print(state)
+            state["initializing"] = 0
 
         # Example:
         # value = self.extract_value(line)