diff --git a/notebooks/DSSC/Characterize_DSSC_Darks_NBC.ipynb b/notebooks/DSSC/Characterize_DSSC_Darks_NBC.ipynb
index e7fb07b7434bae7dae6680aff38250382768d8ab..5351efbf9b5dfa074fda7f2748ed620905d17965 100644
--- a/notebooks/DSSC/Characterize_DSSC_Darks_NBC.ipynb
+++ b/notebooks/DSSC/Characterize_DSSC_Darks_NBC.ipynb
@@ -210,18 +210,7 @@
     "    import h5py\n",
     "    import numpy as np\n",
     "    from cal_tools.enums import BadPixels\n",
-    " \n",
-    "    def get_num_cells(fname, h5path):\n",
-    "        with h5py.File(fname, \"r\") as f:\n",
-    "\n",
-    "            cells = f[f\"{h5path}/cellId\"][()]\n",
-    "            if cells == []:\n",
-    "                return\n",
-    "            maxcell = np.max(cells)\n",
-    "            options = [100, 200, 400, 500, 600, 700, 800, 900]\n",
-    "            dists = np.array([(o-maxcell) for o in options])\n",
-    "            dists[dists<0] = 10000 # assure to always go higher\n",
-    "            return options[np.argmin(dists)]\n",
+    "    from cal_tools.dssclib import get_num_cells\n",
     "    \n",
     "    filename, channel = inp\n",
     "    \n",
@@ -491,11 +480,15 @@
     "                                             acquisition_rate=opfreq, \n",
     "                                             target_gain=targetgain,\n",
     "                                             encoded_gain=encodedgain)\n",
-    "            \n",
+    "            for parm in condition.parameters:\n",
+    "                if parm.name == \"Memory cells\":\n",
+    "                    parm.lower_deviation = mem_cells\n",
+    "                    parm.upper_deviation = 0\n",
+    "\n",
     "            if db_output:\n",
     "                md = send_to_db(db_module, karabo_id, dconst, condition, file_loc, report,\n",
     "                                cal_db_interface, creation_time=creation_time, timeout=cal_db_timeout)\n",
-    "                \n",
+    "\n",
     "            if local_output and dont_use_pulseIds: # Don't save constant localy two times.\n",
     "                md = save_const_to_h5(db_module, karabo_id, dconst, condition,\n",
     "                                      dconst.data, file_loc, report,\n",
diff --git a/notebooks/DSSC/DSSC_Correct_and_Verify.ipynb b/notebooks/DSSC/DSSC_Correct_and_Verify.ipynb
index 55978ac1ec6dcbd6dadf38671db8e338904ed0e6..88277c1449194bf6fdfd58d24d43e604879f92ea 100644
--- a/notebooks/DSSC/DSSC_Correct_and_Verify.ipynb
+++ b/notebooks/DSSC/DSSC_Correct_and_Verify.ipynb
@@ -238,7 +238,11 @@
     "\n",
     "    import h5py\n",
     "    import numpy as np\n",
-    "    from cal_tools.dssclib import get_dssc_ctrl_data, get_pulseid_checksum\n",
+    "    from cal_tools.dssclib import (\n",
+    "        get_dssc_ctrl_data,\n",
+    "        get_num_cells,\n",
+    "        get_pulseid_checksum,\n",
+    "    )\n",
     "    from cal_tools.enums import BadPixels\n",
     "    from cal_tools.tools import get_constant_from_db_and_time\n",
     "    from iCalibrationDB import (\n",
@@ -267,15 +271,6 @@
     "    pulse_edges = None\n",
     "    err = None\n",
     "    offset_not_found = False\n",
-    "    def get_num_cells(fname, h5path):\n",
-    "        with h5py.File(fname, \"r\") as f:\n",
-    "\n",
-    "            cells = f[f\"{h5path}/cellId\"][()]\n",
-    "            maxcell = np.max(cells)\n",
-    "            options = [100, 200, 400, 500, 600, 700, 800]\n",
-    "            dists = np.array([(o-maxcell) for o in options])\n",
-    "            dists[dists<0] = 10000 # assure to always go higher\n",
-    "            return options[np.argmin(dists)]\n",
     "        \n",
     "    if mem_cells == 0:\n",
     "        mem_cells = get_num_cells(filename, h5path)\n",
diff --git a/src/cal_tools/dssclib.py b/src/cal_tools/dssclib.py
index 59ca874d2c896224418347577f2a991789fb00b4..0147eb3e5116945567bd6e02e09d5b3e7fdf0d53 100644
--- a/src/cal_tools/dssclib.py
+++ b/src/cal_tools/dssclib.py
@@ -9,6 +9,16 @@ import h5py
 import numpy as np
 
 
+def get_num_cells(fname, h5path):
+
+    with h5py.File(fname, "r") as f:
+        cells = f[f"{h5path}/cellId"][()]
+        if cells == []:
+            return
+        maxcell = np.max(cells)
+        return maxcell
+
+
 def get_pulseid_checksum(fname, h5path, h5path_idx):
     """generates hash value from pulse pattern (veto defined)."""
     with h5py.File(fname, "r") as infile: