diff --git a/pyzebra/app/panel_ccl_integrate.py b/pyzebra/app/panel_ccl_integrate.py
index 50e11e8..8522e27 100644
--- a/pyzebra/app/panel_ccl_integrate.py
+++ b/pyzebra/app/panel_ccl_integrate.py
@@ -7,7 +7,6 @@ from bokeh.layouts import column, row
 from bokeh.models import (
     BasicTicker,
     Button,
-    CheckboxGroup,
     Circle,
     ColumnDataSource,
     CustomJS,
@@ -20,6 +19,7 @@ from bokeh.models import (
     LinearAxis,
     Panel,
     Plot,
+    RadioButtonGroup,
     Select,
     Spacer,
     Spinner,
@@ -128,11 +128,6 @@ def create():
 
         fit = meas.get("fit")
         if fit is not None:
-            if meas["fit"]["export_fit"]:
-                export_fit_checkbox.active = [0]
-            else:
-                export_fit_checkbox.active = []
-
             plot_gauss_source.data.update(x=x, y=meas["fit"]["comps"]["gaussian"])
             plot_bkg_source.data.update(x=x, y=meas["fit"]["comps"]["background"])
             params = fit["result"].params
@@ -419,13 +414,13 @@ def create():
     fit_button = Button(label="Fit Current", default_size=145)
     fit_button.on_click(fit_button_callback)
 
-    def export_fit_checkbox_callback(_attr, _old, new):
-        sel_ind = meas_table_source.selected.indices[-1]
-        meas = meas_table_source.data["measurement"][sel_ind]
-        det_data["Measurements"][meas]["fit"]["export_fit"] = bool(new)
+    def area_method_radiobutton_callback(_attr, _old, new):
+        det_data["meta"]["area_method"] = ("fit", "integ")[new]
 
-    export_fit_checkbox = CheckboxGroup(labels=["Export fit"], width=100)
-    export_fit_checkbox.on_change("active", export_fit_checkbox_callback)
+    area_method_radiobutton = RadioButtonGroup(
+        labels=["Fit", "Integral"], active=0, default_size=145
+    )
+    area_method_radiobutton.on_change("active", area_method_radiobutton_callback)
 
     preview_output_textinput = TextAreaInput(title="Export file preview:", width=450, height=400)
 
@@ -503,7 +498,7 @@ def create():
         Spacer(width=20),
         column(
             row(integ_from, integ_to),
-            row(fitparam_reset_button, column(Spacer(height=5), export_fit_checkbox)),
+            row(fitparam_reset_button, area_method_radiobutton),
             row(fit_button, fit_all_button),
         ),
     )
diff --git a/pyzebra/comm_export.py b/pyzebra/comm_export.py
index 8211dac..cb70126 100644
--- a/pyzebra/comm_export.py
+++ b/pyzebra/comm_export.py
@@ -38,12 +38,12 @@ def export_comm(data, path, lorentz=False):
             h_str = f'{int(meas["h_index"]):{padding[1]}}'
             k_str = f'{int(meas["k_index"]):{padding[1]}}'
             l_str = f'{int(meas["l_index"]):{padding[1]}}'
-            if meas["fit"]["export_fit"] is True:
+            if data["meta"]["area_method"] == "fit":
                 area = float(meas["fit"]["fit_area"].n)
                 sigma_str = (
                     f'{"{:8.2f}".format(float(meas["fit"]["fit_area"].s)):{align}{padding[2]}}'
                 )
-            else:
+            elif data["meta"]["area_method"] == "integ":
                 area = float(meas["fit"]["int_area"].n)
                 sigma_str = (
                     f'{"{:8.2f}".format(float(meas["fit"]["int_area"].s)):{align}{padding[2]}}'
diff --git a/pyzebra/fit2.py b/pyzebra/fit2.py
index ff8166d..0b92550 100644
--- a/pyzebra/fit2.py
+++ b/pyzebra/fit2.py
@@ -216,8 +216,7 @@ def fitccl(
     print(result.fit_report())
 
     print((result.params["g_amp"].value - int_area.n) / result.params["g_amp"].value)
-    d["export_fit"] = False
-    # ["export_fit"] = False if user wants num. int. value in comm/incomm, otherwise true
+
     d["ratio"] = (result.params["g_amp"].value - int_area.n) / result.params["g_amp"].value
     d["int_area"] = int_area
     d["fit_area"] = u.ufloat(result.params["g_amp"].value, result.params["g_amp"].stderr)
diff --git a/pyzebra/load_1D.py b/pyzebra/load_1D.py
index a2fbed9..7bac265 100644
--- a/pyzebra/load_1D.py
+++ b/pyzebra/load_1D.py
@@ -97,7 +97,6 @@ def parse_1D(fileobj, data_type):
 
     # read data
     if data_type == ".ccl":
-        metadata["data_type"] = data_type
         measurements = {}
         decimal = list()
         data = fileobj.readlines()
@@ -162,7 +161,6 @@ def parse_1D(fileobj, data_type):
 
     elif data_type == ".dat":
         # skip the first 2 rows, the third row contans the column names
-        metadata["data_type"] = data_type
         next(fileobj)
         next(fileobj)
         col_names = next(fileobj).split()
@@ -181,4 +179,8 @@ def parse_1D(fileobj, data_type):
     else:
         print("Unknown file extention")
 
+    # utility information
+    metadata["data_type"] = data_type
+    metadata["area_method"] = "fit"
+
     return {"meta": metadata, "Measurements": measurements}