HenriquesLab · jdmartinez24 · Jan 20, 2026 · Jan 19, 2026 · Jan 19, 2026 · Jan 19, 2026
diff --git a/README.md b/README.md
@@ -21,7 +21,7 @@ Whether you are new to Python or an experienced bioimage researcher, VLab4Mic pr
 
 - Build **virtual samples** from PDB/CIF structures  
 - Apply **direct or indirect fluorescent labeling**  
-- Introduce **defects**, crowding, and structural variation  
+- Introduce **Structural integrity**, crowding, and structural variation  
 - Simulate image acquisition across modalities  
 - Run **parameter sweeps** to explore experimental conditions  
 - Compare **noiseless vs. realistic** acquisitions  

diff --git a/docs/search.js b/docs/search.js
diff --git a/docs/vlab4mic.html b/docs/vlab4mic.html
diff --git a/docs/vlab4mic/analysis.html b/docs/vlab4mic/analysis.html
diff --git a/docs/vlab4mic/analysis/_plots.html b/docs/vlab4mic/analysis/_plots.html
diff --git a/docs/vlab4mic/analysis/metrics.html b/docs/vlab4mic/analysis/metrics.html
diff --git a/docs/vlab4mic/analysis/sweep.html b/docs/vlab4mic/analysis/sweep.html
diff --git a/docs/vlab4mic/configs.html b/docs/vlab4mic/configs.html
diff --git a/docs/vlab4mic/configs/acquisition.html b/docs/vlab4mic/configs/acquisition.html
diff --git a/docs/vlab4mic/configs/fluorophores.html b/docs/vlab4mic/configs/fluorophores.html
diff --git a/docs/vlab4mic/configs/modalities.html b/docs/vlab4mic/configs/modalities.html
diff --git a/docs/vlab4mic/configs/probes.html b/docs/vlab4mic/configs/probes.html
diff --git a/docs/vlab4mic/configs/structures.html b/docs/vlab4mic/configs/structures.html
diff --git a/docs/vlab4mic/configs/virtualsample.html b/docs/vlab4mic/configs/virtualsample.html
diff --git a/docs/vlab4mic/download.html b/docs/vlab4mic/download.html
diff --git a/docs/vlab4mic/experiments.html b/docs/vlab4mic/experiments.html
diff --git a/docs/vlab4mic/generate.html b/docs/vlab4mic/generate.html
diff --git a/docs/vlab4mic/generate/coordinates_field.html b/docs/vlab4mic/generate/coordinates_field.html
diff --git a/docs/vlab4mic/generate/imaging.html b/docs/vlab4mic/generate/imaging.html
diff --git a/docs/vlab4mic/generate/labelled_instance.html b/docs/vlab4mic/generate/labelled_instance.html
diff --git a/docs/vlab4mic/generate/labels.html b/docs/vlab4mic/generate/labels.html
diff --git a/docs/vlab4mic/generate/molecular_structure.html b/docs/vlab4mic/generate/molecular_structure.html
diff --git a/docs/vlab4mic/generate/psfs.html b/docs/vlab4mic/generate/psfs.html
diff --git a/docs/vlab4mic/jupyter_widgets.html b/docs/vlab4mic/jupyter_widgets.html
diff --git a/docs/vlab4mic/jupyter_widgets/_experiment_parameters.html b/docs/vlab4mic/jupyter_widgets/_experiment_parameters.html
diff --git a/docs/vlab4mic/jupyter_widgets/_experiment_visualisation.html b/docs/vlab4mic/jupyter_widgets/_experiment_visualisation.html
diff --git a/docs/vlab4mic/jupyter_widgets/_widget_generator.html b/docs/vlab4mic/jupyter_widgets/_widget_generator.html
diff --git a/docs/vlab4mic/jupyter_widgets/experiment_widgets.html b/docs/vlab4mic/jupyter_widgets/experiment_widgets.html
diff --git a/docs/vlab4mic/jupyter_widgets/sweep_parameters_widgets.html b/docs/vlab4mic/jupyter_widgets/sweep_parameters_widgets.html
diff --git a/docs/vlab4mic/sweep_generator.html b/docs/vlab4mic/sweep_generator.html
diff --git a/docs/vlab4mic/utils.html b/docs/vlab4mic/utils.html
diff --git a/docs/vlab4mic/utils/data_format.html b/docs/vlab4mic/utils/data_format.html
diff --git a/docs/vlab4mic/utils/data_format/configuration_format.html b/docs/vlab4mic/utils/data_format/configuration_format.html
diff --git a/docs/vlab4mic/utils/data_format/structural_format.html b/docs/vlab4mic/utils/data_format/structural_format.html
diff --git a/docs/vlab4mic/utils/data_format/visualisation.html b/docs/vlab4mic/utils/data_format/visualisation.html
diff --git a/docs/vlab4mic/utils/io.html b/docs/vlab4mic/utils/io.html
diff --git a/docs/vlab4mic/utils/io/text.html b/docs/vlab4mic/utils/io/text.html
diff --git a/docs/vlab4mic/utils/io/tiff.html b/docs/vlab4mic/utils/io/tiff.html
diff --git a/docs/vlab4mic/utils/io/yaml_functions.html b/docs/vlab4mic/utils/io/yaml_functions.html
diff --git a/docs/vlab4mic/utils/sample.html b/docs/vlab4mic/utils/sample.html
diff --git a/docs/vlab4mic/utils/sample/arrays.html b/docs/vlab4mic/utils/sample/arrays.html
diff --git a/docs/vlab4mic/utils/transform.html b/docs/vlab4mic/utils/transform.html
diff --git a/docs/vlab4mic/utils/transform/cif_builder.html b/docs/vlab4mic/utils/transform/cif_builder.html
diff --git a/docs/vlab4mic/utils/transform/datatype.html b/docs/vlab4mic/utils/transform/datatype.html
diff --git a/docs/vlab4mic/utils/transform/image_convolution.html b/docs/vlab4mic/utils/transform/image_convolution.html
diff --git a/docs/vlab4mic/utils/transform/noise.html b/docs/vlab4mic/utils/transform/noise.html
diff --git a/docs/vlab4mic/utils/transform/normals.html b/docs/vlab4mic/utils/transform/normals.html
diff --git a/docs/vlab4mic/utils/transform/points_transforms.html b/docs/vlab4mic/utils/transform/points_transforms.html
diff --git a/docs/vlab4mic/utils/transform/defects.html → ...utils/transform/structural_integrity.html b/docs/vlab4mic/utils/transform/defects.html → ...utils/transform/structural_integrity.html
diff --git a/docs/vlab4mic/utils/visualisation.html b/docs/vlab4mic/utils/visualisation.html
diff --git a/docs/vlab4mic/utils/visualisation/matplotlib_plots.html b/docs/vlab4mic/utils/visualisation/matplotlib_plots.html
diff --git a/docs/vlab4mic/workflows.html b/docs/vlab4mic/workflows.html
diff --git a/examples/article_figures/fig3B.py b/examples/article_figures/fig3B.py
@@ -10,9 +10,9 @@
     sweep_repetitions=20,
     # parameters for sweep
     labelling_efficiency=(0,1,0.25),
-    defect=(0,1,0.25),
-    defect_small_cluster=[300,],
-    defect_large_cluster=[600,],
+    structural_integrity=(0,1,0.25),
+    structural_integrity_small_cluster=[300,],
+    structural_integrity_large_cluster=[600,],
     exp_time=[0.001, 0.01,],
     # output and analysis
     output_name="vlab_script",
@@ -26,21 +26,21 @@
 plt.rcParams['figure.figsize'] = [20, 10]
 
 fig, axs = plt.subplots(1, 4)
-image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=4, defect_parameters=0, modality_template=3, return_image=True)
+image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=4, structural_integrity_parameters=0, modality_template=3, return_image=True)
 axs[0].imshow(image, cmap="grey")
-title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Incomplete Labelling: " + str(parameters[3]["defect"])
+title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Structural Integrity: " + str(parameters[3]["structural_integrity"])
 axs[0].set_title(title)
-image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=1, defect_parameters=0, modality_template=3, return_image=True)
+image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=1, structural_integrity_parameters=0, modality_template=3, return_image=True)
 axs[1].imshow(image, cmap="grey")
-title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Incomplete Labelling: " + str(parameters[3]["defect"])
+title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Structural Integrity: " + str(parameters[3]["structural_integrity"])
 axs[1].set_title(title)
-image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=4, defect_parameters=2, modality_template=3, return_image=True)
+image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=4, structural_integrity_parameters=2, modality_template=3, return_image=True)
 axs[2].imshow(image, cmap="grey")
-title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Incomplete Labelling: " + str(parameters[3]["defect"])
+title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Structural Integrity: " + str(parameters[3]["structural_integrity"])
 axs[2].set_title(title)
-image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=1, defect_parameters=2, modality_template=3, return_image=True)
+image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=1, structural_integrity_parameters=2, modality_template=3, return_image=True)
 axs[3].imshow(image, cmap="grey")
-title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Incomplete Labelling: " + str(parameters[3]["defect"])
+title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Structural Integrity: " + str(parameters[3]["structural_integrity"])
 axs[3].set_title(title)
 
 

diff --git a/examples/parameter_sweep.py b/examples/parameter_sweep.py
@@ -7,9 +7,9 @@
     sweep_repetitions=3,
     # parameters for sweep
     labelling_efficiency=(0, 1, 0.5),  # values between 0 and 1 with step of 0.5
-    defect=(0, 1, 0.5),  # values between 0 and 1 with step of 0.5
-    defect_small_cluster=[300,],  # 1 single value 
-    defect_large_cluster=[600,],  # 1 single value 
+    structural_integrity=(0, 1, 0.5),  # values between 0 and 1 with step of 0.5
+    structural_integrity_small_cluster=[300,],  # 1 single value 
+    structural_integrity_large_cluster=[600,],  # 1 single value 
     exp_time=[0.001, 0.01,],  # 2 values
     # output and analysis
     output_name="vlab_example_sweep",
@@ -24,7 +24,7 @@
 
 ## - probe_model
 ## - probe_parameters
-## - defect_parameters
+## - structural_integrity_parameters
 ## - virtual_sample_parameters
 ## - Modality_template
 ## - Modality_parameters
@@ -35,25 +35,25 @@
 ## For instance, the first combination is always "0_0_0_0_0_0_0". When a parameter is not used in the sweep,
 ## its ID is always 0.
 
-## For this example, since we used 3 values for labelling efficiency and defect,
+## For this example, since we used 3 values for labelling efficiency and structural_integrity,
 ## the possible IDs for labelling efficiency are 0, 1 or 2 (for 0, 0.5 and 1, respectively). 
-## Similarly, the IDs for defect are also 0, 1, 2 (for 0, 0.5 and 1, respectively).
+## Similarly, the IDs for structural_integrity are also 0, 1, 2 (for 0, 0.5 and 1, respectively).
 
 ## We will show the simulations for SMLM modality (modality_template ID = 3) in defaults.
 fig, axs = plt.subplots(1, 2)
-# First image: labelling efficiency of 1 and no defect
-image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=2, defect_parameters=0, modality_template=3, return_image=True)
+# First image: labelling efficiency of 1 and no structural_integrity
+image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=2, structural_integrity_parameters=0, modality_template=3, return_image=True)
 axs[0].imshow(image, cmap="grey")
 axs[0].set_xticks([])
 axs[0].set_yticks([])
-title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Incomplete Labelling: " + str(parameters[3]["defect"])
+title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Structural Integrity: " + str(parameters[3]["structural_integrity"])
 axs[0].set_title(title)
-# Second image: labelling efficiency of 1 and defect of 0.5
-image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=2, defect_parameters=1, modality_template=3, return_image=True)
+# Second image: labelling efficiency of 1 and structural_integrity of 0.5
+image, parameters = sweep_gen.preview_image_output_by_ID(probe_parameters=2, structural_integrity_parameters=1, modality_template=3, return_image=True)
 axs[1].imshow(image, cmap="grey")
 axs[1].set_xticks([])
 axs[1].set_yticks([])
-title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Incomplete Labelling: " + str(parameters[3]["defect"])
+title = "Labelling efficiency: " + str(parameters[2]["labelling_efficiency"]) + "\n" + "Structural Integrity: " + str(parameters[3]["structural_integrity"])
 axs[1].set_title(title)
 
 plt.show()
diff --git a/examples/readme.md b/examples/readme.md
@@ -47,7 +47,7 @@ In this example we select a NPC model, labelled at the C-terminal of Nup96.
 
 Then we set up parameters for sweep:
 - Labelling efficiency: 3 values from 0 to 1
-- Incomplete labelling (or defects):  3 values from 0 to 1
+- Incomplete labelling (or structural_integrity):  3 values from 0 to 1
 
 We then compare each image output against a reference, for example, by calculating its pearson correlation.
 

diff --git a/manual.md b/manual.md
@@ -375,9 +375,9 @@ sweep_gen = run_parameter_sweep(
     sweep_repetitions=20,
     # parameters for sweep
     labelling_efficiency=(0, 1, 5),  # 5 linearly spaced values between 0 and 1
-    defect=(0, 1, 5),  # 5 linearly spaced values between 0 and 1
-    defect_small_cluster=[300,],  # 1 single value 
-    defect_large_cluster=[600,],  # 1 single value 
+    structural_integrity=(0, 1, 5),  # 5 linearly spaced values between 0 and 1
+    structural_integrity_small_cluster=[300,],  # 1 single value 
+    structural_integrity_large_cluster=[600,],  # 1 single value 
     exp_time=[0.001, 0.01,],  # 2 values
     # output and analysis
     output_name="vlab_script",
@@ -389,7 +389,7 @@ sweep_gen = run_parameter_sweep(
 ```
 
 > ⚠️ **Note:** When running a parameter sweep, all possible parameter combinations will be used.  
-> For example, setting 10 values for labelling efficiencies and 10 values for particle defects will generate 100 combinations.
+> For example, setting 10 values for labelling efficiencies and 10 values for particle structural_integrity will generate 100 combinations.
 
 ### 📝 Available parameters for sweeping
 
@@ -410,9 +410,9 @@ If a parameter is `None`, it will not be swept and will use default values.
 - probe_DoL
 - probe_wobble_theta
 - labelling_efficiency
-- defect
-- defect_small_cluster
-- defect_large_cluster
+- structural_integrity
+- structural_integrity_small_cluster
+- structural_integrity_large_cluster
 - sample_dimensions
 - particle_orientations
 - rotation_angles
@@ -456,13 +456,13 @@ If a parameter is `None`, it will not be swept and will use default values.
 | **peptide_motif** | Dictionary specifying motif extraction for probe target sequence |
 | **as_primary** | Whether to treat the probe as a primary linker (bool) |
 
-## 🧩 Defects parameters
+## 🧩 Structural Integrity parameters
 
 | Parameter name | Description |
 | --- | --- | 
-| **defect** | Fraction of the particle rendered inaccessible to probes (float) |
-| **defect_small_cluster** | Maximum distance between epitopes for first grouping (in Å) |
-| **defect_large_cluster** | Minimum distance between epitopes for second grouping (in Å) |
+| **structural_integrity** | Fraction of the particle rendered inaccessible to probes (float) |
+| **structural_integrity_small_cluster** | Maximum distance between epitopes for first grouping (in Å) |
+| **structural_integrity_large_cluster** | Minimum distance between epitopes for second grouping (in Å) |
 
 ## 🧱 Virtual sample parameters
 

diff --git a/notebooks/VLab4Mic_main.ipynb b/notebooks/VLab4Mic_main.ipynb
@@ -19,7 +19,7 @@
         "This notebook guides you through a complete virtual microscopy experiment:\n",
         "\n",
         "1. **Select a macromolecular structure** (e.g., virus particles, nuclear pore complexes)\n",
-        "2. **Choose and configure probes** for labeling with advanced defect modeling options\n",
+        "2. **Choose and configure probes** for labeling with advanced structural integrity modeling options\n",
         "3. **Create a virtual sample** with multiple labeled particles\n",
         "4. **Configure imaging modalities** (SMLM, confocal, widefield, etc.)\n",
         "5. **Set acquisition parameters** and simulate realistic image data\n",
@@ -84,15 +84,7 @@
         "cellView": "form",
         "id": "34087ec5"
       },
-      "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Experiment created with default parameters\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "#@title Install vlab4mic and necessary dependencies\n",
         "try:\n",
@@ -212,13 +204,13 @@
         "\n",
         "## ⚙️ Advanced Parameters\n",
         "\n",
-        "### 🔬 Structural Defect Modeling\n",
-        "Simulate realistic structural defects in macromolecular complexes:\n",
-        "- **Defect Fraction (0-1)**: Proportion of structural units to remove (e.g., 0.2 = 20% defects)\n",
+        "### 🔬 Structural Structural Integrity Modeling\n",
+        "Simulate realistic structural structural integrity in macromolecular complexes:\n",
+        "- **Structural Integrity Fraction (0-1)**: Proportion of structural units to remove (e.g., 0.2 = 20% structural integrity)\n",
         "- **Small Cluster Distance (Å)**: Clustering threshold for identifying small defective regions\n",
         "- **Large Cluster Distance (Å)**: Clustering threshold for identifying large defective regions\n",
         "\n",
-        "⚠️ **Requirements**: All three defect parameters must be > 0 to enable defect modeling.\n",
+        "⚠️ **Requirements**: All three structural integrity parameters must be > 0 to enable structural integrity modeling.\n",
         "\n",
         "### 🛠️ Custom Probe Configuration\n",
         "Fine-tune probe properties:\n",
@@ -526,28 +518,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": null,
       "id": "cb99d484",
       "metadata": {
         "cellView": "form",
         "id": "cb99d484"
       },
-      "outputs": [
-        {
-          "data": {
-            "application/vnd.jupyter.widget-view+json": {
-              "model_id": "0173c9adc3534ba290131feb3f99a39c",
-              "version_major": 2,
-              "version_minor": 0
-            },
-            "text/plain": [
-              "VBox(children=(HTML(value=\"Current settings of the experiment:<br>Structure ID: 1XI5<br>Probes: ['NHS_ester']<…"
-            ]
-          },
-          "metadata": {},
-          "output_type": "display_data"
-        }
-      ],
+      "outputs": [],
       "source": [
         "#@title Run your experiment\n",
         "experiment_widgets.run_experiment_widget(my_experiment).show()"
@@ -559,7 +536,7 @@
       "provenance": []
     },
     "kernelspec": {
-      "display_name": "vlab",
+      "display_name": "vlab4mic-dev",
       "language": "python",
       "name": "python3"
     },
@@ -573,7 +550,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.11.13"
+      "version": "3.11.14"
     }
   },
   "nbformat": 4,

diff --git a/notebooks/VLab4Mic_parameter_sweeps.ipynb b/notebooks/VLab4Mic_parameter_sweeps.ipynb
@@ -40,11 +40,11 @@
         "### Step-by-Step Workflow:\n",
         "\n",
         "1. **🏗️ Choose a Structure** - Select your macromolecular complex of interest\n",
-        "2. **🎯 Configure Probes** - Set up labeling strategies and defect modeling\n",
+        "2. **🎯 Configure Probes** - Set up labeling strategies and structural integrity modeling\n",
         "3. **📡 Select Modalities** - Choose imaging techniques (SMLM, confocal, widefield)\n",
         "4. **⚙️ Define Parameter Sweeps** - Set ranges for systematic testing:\n",
         "   - **Probe parameters:** efficiency, distance to epitope\n",
-        "   - **Defect modeling:** fraction, small/large cluster thresholds  \n",
+        "   - **Structural Integrity modeling:** fraction, small/large cluster thresholds  \n",
         "   - **Sample parameters:** particle count, orientations\n",
         "   - **Acquisition settings:** exposure time, noise levels\n",
         "5. **📊 Execute & Analyze** - Generate comprehensive datasets and comparisons\n",
@@ -54,12 +54,12 @@
         "## 🔄 Understanding Parameter Sweeps\n",
         "\n",
         "A **parameter sweep** systematically explores the parameter space by running simulations for **every possible combination** of your selected parameter values across:\n",
-        "- Molecular structures + Probe configurations + Imaging modalities + Defect settings\n",
+        "- Molecular structures + Probe configurations + Imaging modalities + Structural Integrity settings\n",
         "\n",
         "### ⚠️ Key Considerations:\n",
         "- **📈 Exponential scaling:** More parameters = exponentially more simulations\n",
         "- **🎛️ Parameter interactions:** Probe modifiers affect all selected probes  \n",
-        "- **🧬 Defect modeling:** Parameters work together to simulate realistic structural defects\n",
+        "- **🧬 Structural Integrity modeling:** Parameters work together to simulate realistic structural defects\n",
         "- **💻 Computational cost:** Balance thoroughness with available resources\n",
         "\n",
         "### 💡 **Pro Tip:** Start with small parameter ranges to test your workflow, then expand for comprehensive studies.\n",
@@ -117,10 +117,6 @@
         "for group_name, params in sweep_generator.param_settings.items():\n",
         "    print(f\"  • {group_name}: {', '.join(params.keys())}\")\n",
         "\n",
-        "# Confirm defect parameters are ready\n",
-        "defect_available = 'particle_defect' in sweep_generator.param_settings\n",
-        "print(f\"\\n🧬 Defect modeling: {'✅ Ready' if defect_available else '❌ Not available'}\")\n",
-        "\n",
         "print(\"\\n🎉 System ready! Proceed to structure selection below.\")"
       ]
     },
@@ -227,14 +223,14 @@
       "source": [
         "# ⚙️ Step 3: Configure Parameter Sweep Ranges\n",
         "\n",
-        "Define the parameter ranges for systematic exploration. Each module (probe, defect modeling, sample, acquisition) offers specific parameters that modify your configurations.\n",
+        "Define the parameter ranges for systematic exploration. Each module (probe, structural integrity modeling, sample, acquisition) offers specific parameters that modify your configurations.\n",
         "\n",
         "### 🎛️ Parameter Categories:\n",
         "\n",
         "| Category | Parameters | Purpose |\n",
         "|----------|------------|---------|\n",
         "| **🎯 Probe** | Labeling Efficiency, Probe Distance to Epitope | Optimize labeling strategies |\n",
-        "| **🧬 Defect** | Defect Fraction, Small Cluster, Large Cluster | Model realistic structural defects |\n",
+        "| **🧬 Structural Integrity** | Structural Integrity Fraction, Small Cluster, Large Cluster | Model realistic structural defects |\n",
         "| **📦 Sample** | Random Orientations, Number of Particles | Control sample properties |\n",
         "| **📸 Acquisition** | Exposure Time | Optimize imaging conditions |\n",
         "\n",
@@ -428,7 +424,7 @@
       "provenance": []
     },
     "kernelspec": {
-      "display_name": "vlab-dev",
+      "display_name": "vlab4mic-dev",
       "language": "python",
       "name": "python3"
     },
@@ -442,7 +438,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.11.13"
+      "version": "3.11.14"
     }
   },
   "nbformat": 4,