diff --git a/.github/workflows/build-docker-images.yml b/.github/workflows/build-docker-images.yml
index d13b6446..ec1ceb3d 100644
--- a/.github/workflows/build-docker-images.yml
+++ b/.github/workflows/build-docker-images.yml
@@ -13,6 +13,6 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-    - uses: actions/checkout@v3
-    - name: Build the full Docker image
-      run: docker build . --file Dockerfile --tag streamlitapp:latest
\ No newline at end of file
+      - uses: actions/checkout@v3
+      - name: Build the full Docker image
+        run: docker build --file Dockerfile --tag streamlitapp:latest --output type=tar,dest=/dev/null . 
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
index cacfca71..7bea3162 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -81,7 +81,7 @@ SHELL ["mamba", "run", "-n", "streamlit-env", "/bin/bash", "-c"]
 
 # Install up-to-date cmake via mamba and packages for pyOpenMS build.
 RUN mamba install cmake
-RUN pip install --upgrade pip && python -m pip install -U setuptools nose Cython autowrap pandas 'numpy==1.26.4' pytest
+RUN pip install --upgrade pip && python -m pip install -U setuptools nose 'Cython<3.1' autowrap pandas 'numpy==1.26.4' pytest
 
 # Clone OpenMS branch and the associcated contrib+thirdparties+pyOpenMS-doc submodules.
 RUN git clone --recursive --depth=1 -b ${OPENMS_BRANCH} --single-branch ${OPENMS_REPO} && cd /OpenMS
diff --git a/content/FLASHTnT/FLASHTnTLayoutManager.py b/content/FLASHTnT/FLASHTnTLayoutManager.py
index 9ad67e68..b951584d 100644
--- a/content/FLASHTnT/FLASHTnTLayoutManager.py
+++ b/content/FLASHTnT/FLASHTnTLayoutManager.py
@@ -12,6 +12,9 @@
     'Internal fragment map (Protein table needed)',
     'Tag table (Protein table needed)',
     'Sequence tag view (Tag table needed)',
+    'Score Distribution Plot',
+    'MS1 raw heatmap',
+    'MS1 deconvolved heatmap'
 ]
 
 COMPONENT_NAMES=[
@@ -19,7 +22,10 @@
     'sequence_view', 
     'internal_fragment_map',
     'tag_table',
-    'combined_spectrum'
+    'combined_spectrum',
+    'id_fdr_plot',
+    'ms1_raw_heatmap',
+    'ms1_deconv_heat_map'
 ]
 
 # Setup cache access
diff --git a/src/parse/tnt.py b/src/parse/tnt.py
index 56259c87..6d2af9d9 100644
--- a/src/parse/tnt.py
+++ b/src/parse/tnt.py
@@ -5,6 +5,7 @@
 
 from io import StringIO
 from pyopenms import AASequence
+from scipy.stats import gaussian_kde
 
 from src.parse.masstable import parseFLASHDeconvOutput, parseFLASHTaggerOutput
 from src.render.sequence import (
@@ -157,4 +158,31 @@ def parseTnT(file_manager, dataset_id, deconv_mzML, anno_mzML, tag_tsv, protein_
     }
     file_manager.store_data(
         dataset_id, 'settings', settings
-    )
\ No newline at end of file
+    )
+
+    density_target, density_decoy = fdr_density_distribution(protein_df, logger=logger)
+    file_manager.store_data(dataset_id, 'density_id_target', density_target)
+    file_manager.store_data(dataset_id, 'density_id_decoy', density_decoy)
+
+
+def fdr_density_distribution(df, logger=None):
+    df = df[df['ProteoformLevelQvalue'] > 0]
+    # Find density targets
+    target_qscores = df[~df['accession'].str.startswith('DECOY_')]['ProteoformLevelQvalue'].dropna()
+    if len(target_qscores) > 0:
+        x_target = np.linspace(target_qscores.min(), target_qscores.max(), 200)
+        kde_target = gaussian_kde(target_qscores)
+        density_target = pd.DataFrame({'x': x_target, 'y': kde_target(x_target)})
+    else:
+        density_target = pd.DataFrame(columns=['x', 'y'])
+
+    # Find density decoys (if present)
+    decoy_qscores = df[df['accession'].str.startswith('DECOY_')]['ProteoformLevelQvalue'].dropna()
+    if len(decoy_qscores) > 0:
+        x_decoy = np.linspace(decoy_qscores.min(), decoy_qscores.max(), 200)
+        kde_decoy = gaussian_kde(decoy_qscores)
+        density_decoy = pd.DataFrame({'x': x_decoy, 'y': kde_decoy(x_decoy)})
+    else:
+        density_decoy = pd.DataFrame(columns=['x', 'y'])
+
+    return density_target, density_decoy
\ No newline at end of file
diff --git a/src/render/initialize.py b/src/render/initialize.py
index c02411c1..60cc75bc 100644
--- a/src/render/initialize.py
+++ b/src/render/initialize.py
@@ -104,6 +104,12 @@ def initialize_data(comp_name, selected_data, file_manager, tool):
         data = file_manager.get_results(selected_data,  ['density_decoy'])
         data_to_send['density_decoy'] = data['density_decoy']
         component_arguments = FDRPlotly(title="FDR Plot")
+    elif comp_name == 'id_fdr_plot':
+        data = file_manager.get_results(selected_data,  ['density_id_target'])
+        data_to_send['density_target'] = data['density_id_target']
+        data = file_manager.get_results(selected_data,  ['density_id_decoy'])
+        data_to_send['density_decoy'] = data['density_id_decoy']
+        component_arguments = FDRPlotly(title="FDR Plot")
     elif comp_name == 'protein_table':
         # TODO: Unify lookup or remove in vue
         data = file_manager.get_results(selected_data,  ['scan_table'])