diff --git a/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb b/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
index cd604ac095e0823073acdc6adb39abd73e9625c3..ecf2ee82356ac4476d0781484a34fac17d64113f 100644
--- a/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
+++ b/notebooks/Jungfrau/Jungfrau_dark_analysis_all_gains_burst_mode_NBC.ipynb
@@ -205,7 +205,10 @@
     "\n",
     "        if mod not in noise_map:\n",
     "            if not manual_slow_data:\n",
-    "                    run_path = h5path_run.format(karabo_id_control, receiver_control_id)\n",
+    "                run_path = h5path_run.format(karabo_id_control, receiver_control_id)\n",
+    "                with h5py.File(fp_path.format(0), 'r') as f:\n",
+    "                    integration_time = float(f[f'{run_path}/exposureTime/value'][()]*1e6)\n",
+    "                    bias_voltage = int(np.squeeze(f[f'{run_path}/vHighVoltage/value'])[0])\n",
     "                    if r_n == run_high:\n",
     "                        try:\n",
     "                            gain_s = f[f'/RUN/{karabo_id_control}/DET/CONTROL/settings/value'][0].decode()\n",
@@ -229,12 +232,11 @@
     "                memoryCells = 16\n",
     "                print('Dark runs in burst mode\\n storage cell start: {:02d}'.format(sc_start))\n",
     "\n",
-    "        noise_map[mod] = np.zeros(sensorSize+[memoryCells, 3])\n",
-    "        offset_map[mod] = np.zeros(sensorSize+[memoryCells, 3])\n",
+    "            noise_map[mod] = np.zeros(sensorSize+[memoryCells, 3])\n",
+    "            offset_map[mod] = np.zeros(sensorSize+[memoryCells, 3])\n",
     "\n",
     "        fp_name = path_template.format(r_n, path_inset)\n",
     "        fp_path = '{}/{}'.format(ped_dir, fp_name)\n",
-    "        path = h5path\n",
     "\n",
     "        print(\"Reading data from {}\".format(fp_path))\n",
     "        print(\"Run is: {}\".format(r_n))\n",