diff --git a/pyzebra/app/app.py b/pyzebra/app/app.py
index 078c729..7beb17a 100644
--- a/pyzebra/app/app.py
+++ b/pyzebra/app/app.py
@@ -5,6 +5,7 @@ from bokeh.models import Tabs
 
 import panel_anatric
 import panel_data_viewer
+import panel_1D_detector
 
 parser = argparse.ArgumentParser(
     prog="pyzebra", formatter_class=argparse.ArgumentDefaultsHelpFormatter
@@ -18,5 +19,6 @@ doc.title = "pyzebra"
 # Final layout
 tab_data_viewer = panel_data_viewer.create()
 tab_anatric = panel_anatric.create()
+tab_1D_detector = panel_1D_detector.create()
 
-doc.add_root(Tabs(tabs=[tab_data_viewer, tab_anatric]))
+doc.add_root(Tabs(tabs=[tab_data_viewer, tab_anatric, tab_1D_detector]))
diff --git a/pyzebra/app/panel_1D_detector.py b/pyzebra/app/panel_1D_detector.py
new file mode 100644
index 0000000..52d72f0
--- /dev/null
+++ b/pyzebra/app/panel_1D_detector.py
@@ -0,0 +1,58 @@
+import base64
+import io
+import os
+
+from bokeh.layouts import column, row
+from bokeh.models import (
+    BasicTicker,
+    ColumnDataSource,
+    DataRange1d,
+    Div,
+    FileInput,
+    Grid,
+    Line,
+    LinearAxis,
+    Panel,
+    Plot,
+    Spacer,
+)
+
+import pyzebra
+
+
+def create():
+    def upload_button_callback(_attr, _old, new):
+        with io.StringIO(base64.b64decode(new).decode()) as file:
+            _, ext = os.path.splitext(upload_button.filename)
+            res = pyzebra.parse_1D(file, ext)
+            for _, meas in res["Measurements"].items():
+                y = meas["Counts"]
+                x = list(range(len(y)))
+                break
+
+            plot_line_source.data.update(x=x, y=y)
+
+    upload_button = FileInput(accept=".ccl")
+    upload_button.on_change("value", upload_button_callback)
+
+    plot = Plot(
+        x_range=DataRange1d(),
+        y_range=DataRange1d(),
+        plot_height=400,
+        plot_width=600,
+        toolbar_location=None,
+    )
+
+    plot.add_layout(LinearAxis(axis_label="Counts"), place="left")
+    plot.add_layout(LinearAxis(), place="below")
+
+    plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
+    plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
+
+    plot_line_source = ColumnDataSource(dict(x=[0], y=[0]))
+    plot.add_glyph(plot_line_source, Line(x="x", y="y", line_color="steelblue"))
+
+    upload_div = Div(text="Upload .ccl file:")
+    tab_layout = column(row(column(Spacer(height=5), upload_div), upload_button), plot)
+
+    return Panel(child=tab_layout, title="1D Detector")