diff --git a/Config/config.json b/Config/config.json
index 7631451..3a50b61 100644
--- a/Config/config.json
+++ b/Config/config.json
@@ -4,6 +4,6 @@
     "Time_in_beam_s": 5,
     "Time_out_of_beam_s": 10,
     "Exposure_time": 0.0004,
-    "Img_Processing": 1,
-    "pixel_size_mu": 0.275
+    "Img_Processing": 0,
+    "pixel_size_mu": 1.1
 }
\ No newline at end of file
diff --git a/Scripts/__pycache__/metrology_functions.cpython-313.pyc b/Scripts/__pycache__/metrology_functions.cpython-313.pyc
index ba1842a..ae582a8 100644
Binary files a/Scripts/__pycache__/metrology_functions.cpython-313.pyc and b/Scripts/__pycache__/metrology_functions.cpython-313.pyc differ
diff --git a/Scripts/metrology_functions.py b/Scripts/metrology_functions.py
index 1e5d429..f8ce4b7 100644
--- a/Scripts/metrology_functions.py
+++ b/Scripts/metrology_functions.py
@@ -68,9 +68,10 @@ def init_image_processing_yes_no():
     return config.get("Img_Processing",0)
 def safe_meas_settings(save_path):
     data = myu.load_object(config_path)
-    save_path = os.path.join(save_path, get_datestr(),'json')
+    save_path = os.path.join(save_path, get_datestr(),f'conf_{get_datestr()}.json')
     with open(save_path,"w") as f:
         json.dump(data,f)
+        f.close()
 
 def gaussian_2d(coords, amplitude, x0, y0, sigma_x, sigma_y, offset):
     x, y = coords
@@ -453,4 +454,3 @@ print(camera_seting.get_exposure_time())"""
 
 
 
-
diff --git a/data/data20250718_alignment_tests/20250718_081844_static_0/conf_20250718.json b/data/data20250718_alignment_tests/20250718_081844_static_0/conf_20250718.json
new file mode 100644
index 0000000..b9f8517
--- /dev/null
+++ b/data/data20250718_alignment_tests/20250718_081844_static_0/conf_20250718.json
@@ -0,0 +1 @@
+{"Number_of_cycles": 10, "Amplitude_mm": 1, "Time_in_beam_s": 5, "Time_out_of_beam_s": 10, "Exposure_time": 0.0004, "Img_Processing": 0, "pixel_size_mu": 1.1}
\ No newline at end of file
diff --git a/notebooks/sample.ipynb b/notebooks/sample.ipynb
index 70b66ab..74fa091 100644
--- a/notebooks/sample.ipynb
+++ b/notebooks/sample.ipynb
@@ -89,8 +89,8 @@
      "source_hidden": true
     },
     "ExecuteTime": {
-     "end_time": "2025-07-18T06:17:20.013396Z",
-     "start_time": "2025-07-18T06:17:19.780362Z"
+     "end_time": "2025-07-18T06:30:22.209542Z",
+     "start_time": "2025-07-18T06:30:21.916896Z"
     }
    },
    "source": [
@@ -313,7 +313,7 @@
       "Connect to PLC\n",
       "is_open()=True\n",
       "get_local_address()=None\n",
-      "read_device_info()=('Plc30 App', <pyads.structs.AdsVersion object at 0x0000016390363B60>)\n",
+      "read_device_info()=('Plc30 App', <pyads.structs.AdsVersion object at 0x000001B9A75896A0>)\n",
       "GVL_APP.nAXIS_NUM=3\n",
       "Constructor for axis\n"
      ]
@@ -326,7 +326,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "38edebb931b140518ff4daa682014c05"
+       "model_id": "183d23fd35de432f9a49f33bcc7562ac"
       }
      },
      "metadata": {},
@@ -340,7 +340,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "a11e18fc170a431cbfedf222e968019d"
+       "model_id": "4536bd4f0d5e408ea9f9b908c12cf274"
       }
      },
      "metadata": {},
@@ -349,12 +349,12 @@
     {
      "data": {
       "text/plain": [
-       "BoundedIntText(value=1000, description='Nr of cycles:', max=1000, min=1)"
+       "BoundedIntText(value=10, description='Nr of cycles:', max=1000, min=1)"
       ],
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "95246584dfa3402e8d99dd34b6b1544f"
+       "model_id": "dba5ac98900f41b4b862a416a4c02e8d"
       }
      },
      "metadata": {},
@@ -368,7 +368,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "1de56a1ff3b1431784c6fa373a209370"
+       "model_id": "66ce169800eb45fbae83d67b827b95a2"
       }
      },
      "metadata": {},
@@ -382,7 +382,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "780c61c3a4aa4b57a0ae6cdef23c91e0"
+       "model_id": "d228d3816825452c81a83f0f2841f7ea"
       }
      },
      "metadata": {},
@@ -396,7 +396,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "99fc92db8180499e9ad5bc1a82fe2325"
+       "model_id": "f53aca50cd3147b49dff846c0c407c69"
       }
      },
      "metadata": {},
@@ -405,12 +405,12 @@
     {
      "data": {
       "text/plain": [
-       "ToggleButton(value=True, description='Processing', tooltip='Toggle processing on/off')"
+       "ToggleButton(value=False, description='Processing', tooltip='Toggle processing on/off')"
       ],
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "54808c66489c408e900cce9fbf4da3b2"
+       "model_id": "47994b4e86404ecba24f0127a13a3947"
       }
      },
      "metadata": {},
@@ -424,7 +424,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "49cefb0c51c14074806df59775c809bf"
+       "model_id": "180883139468449fa35b941927cd1cf9"
       }
      },
      "metadata": {},
@@ -438,7 +438,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "9909b94b1c1e4494b6761f3a9f024cab"
+       "model_id": "3313a9c428f3419f954c6786b90b3db7"
       }
      },
      "metadata": {},
@@ -452,7 +452,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "361a881d49af4571aa4d693f35a6451b"
+       "model_id": "98648a9238a44467bb3af1e710715279"
       }
      },
      "metadata": {},
@@ -466,7 +466,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "0497555cf4d64422b76e797ed6443759"
+       "model_id": "e3430d4d4144414388791d6a1a83c57f"
       }
      },
      "metadata": {},
@@ -480,14 +480,14 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "f20d62b2877143f7b3656f5069921684"
+       "model_id": "623839136ae84c748c4487ed261ac572"
       }
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 3
+   "execution_count": 1
   },
   {
    "cell_type": "markdown",
@@ -551,10 +551,6 @@
    "metadata": {
     "jupyter": {
      "source_hidden": true
-    },
-    "ExecuteTime": {
-     "end_time": "2025-07-18T06:17:16.504322Z",
-     "start_time": "2025-07-18T06:17:16.449495Z"
     }
    },
    "source": [
@@ -623,20 +619,8 @@
     "plt.tight_layout()\n",
     "fig_temp.canvas.draw_idle()"
    ],
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'myu' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mNameError\u001B[39m                                 Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[2]\u001B[39m\u001B[32m, line 8\u001B[39m\n\u001B[32m      2\u001B[39m get_ipython().run_line_magic(\u001B[33m'\u001B[39m\u001B[33mmatplotlib\u001B[39m\u001B[33m'\u001B[39m, \u001B[33m'\u001B[39m\u001B[33mwidget\u001B[39m\u001B[33m'\u001B[39m)\n\u001B[32m      5\u001B[39m \u001B[38;5;66;03m# Load the newest file\u001B[39;00m\n\u001B[32m      6\u001B[39m \n\u001B[32m      7\u001B[39m \u001B[38;5;66;03m# Load file\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m8\u001B[39m file_path = \u001B[43mmyu\u001B[49m.find_newest_dat_file(data_folder)\n\u001B[32m      9\u001B[39m times, temps = myu.load_temp_data(file_path)\n\u001B[32m     11\u001B[39m \u001B[38;5;66;03m# Initial plot range setup\u001B[39;00m\n",
-      "\u001B[31mNameError\u001B[39m: name 'myu' is not defined"
-     ]
-    }
-   ],
-   "execution_count": 2
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -754,10 +738,6 @@
    "metadata": {
     "jupyter": {
      "source_hidden": true
-    },
-    "ExecuteTime": {
-     "end_time": "2025-07-18T06:17:14.135022Z",
-     "start_time": "2025-07-18T06:17:13.794913Z"
     }
    },
    "source": [
@@ -888,20 +868,8 @@
     "plt.tight_layout()\n",
     "plt.show()\n"
    ],
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'myu' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mNameError\u001B[39m                                 Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[1]\u001B[39m\u001B[32m, line 8\u001B[39m\n\u001B[32m      4\u001B[39m     config = myu.load_object(config_path)\n\u001B[32m      5\u001B[39m     \u001B[38;5;28;01mreturn\u001B[39;00m config.get(\u001B[33m\"\u001B[39m\u001B[33mpixel_size_mu\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m----> \u001B[39m\u001B[32m8\u001B[39m axis_path_1 = \u001B[43mmyu\u001B[49m.get_latest_measurement_dir(\u001B[32m1\u001B[39m)\n\u001B[32m      9\u001B[39m \u001B[38;5;28mprint\u001B[39m(axis_path_1)\n\u001B[32m     10\u001B[39m \u001B[38;5;66;03m#axis_path_1 = r\"C:\\Users\\berti_r\\Python_Projects\\StagePerformaceDocu\\data\\data20250717_alignment_tests\\20250717_085115_static_0\" #uncomment for specific path\u001B[39;00m\n",
-      "\u001B[31mNameError\u001B[39m: name 'myu' is not defined"
-     ]
-    }
-   ],
-   "execution_count": 1
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",