diff --git a/pySNOM/spectra.py b/pySNOM/spectra.py
index e980e8c..a921b54 100644
--- a/pySNOM/spectra.py
+++ b/pySNOM/spectra.py
@@ -91,6 +91,19 @@ def parameters(self):
         """Property - scantype (ScanType Enum name)"""
         return self._parameters
 
+    def add_channel(self, values, channelname, zerofilling=1):
+        """Adds a new channel to data dictionary"""
+        if channelname not in list(self._data.keys()):
+            self._data[channelname] = np.reshape(
+                values,
+                (
+                    int(self.parameters["PixelArea"][0]),
+                    int(self.parameters["PixelArea"][1]),
+                    int(self.parameters["PixelArea"][2]*zerofilling),
+                ),
+            )
+        else:
+            raise ValueError
 
 class SingleChannelSpectrum(NeaSpectrum):
     def __init__(
@@ -228,6 +241,10 @@ def reshape_spectrum_data(data, params):
             spectral_depth = len(np.unique(data["Index"]))
         elif "Omega" in allchannels:
             spectral_depth = len(np.unique(data["Omega"]))
+        elif "Wavenumber" in allchannels:
+            spectral_depth = len(np.unique(data["Wavenumber"]))
+        elif "Wavelength" in allchannels:
+            spectral_depth = len(np.unique(data["Wavelength"]))
         else:
             spectral_depth = params["PixelArea"][2] * n
 
diff --git a/pySNOM/tests/test_spectra.py b/pySNOM/tests/test_spectra.py
index 873eac8..a7d4f49 100644
--- a/pySNOM/tests/test_spectra.py
+++ b/pySNOM/tests/test_spectra.py
@@ -20,6 +20,18 @@ def test_pointspectrum_object(self):
         np.testing.assert_string_equal(s.scantype, "Point")
         np.testing.assert_equal(np.shape(s.data["O2A"])[0], 2048)
 
+    def test_add_channel(self):
+        f = "datasets/testspectrum_singlepoint.txt"
+        file_reader = readers.NeaSpectralReader(os.path.join(pySNOM.__path__[0], f))
+        data, params = file_reader.read()
+
+        newchannel = np.zeros(np.shape(data["O3A"]))
+        s = spectra.NeaSpectrum(data, params)
+        s.add_channel(newchannel, "O6A",zerofilling=2)
+
+        np.testing.assert_almost_equal(s.data["O6A"][0], 0)
+
+
     def test_multipointspectrum_object(self):
         f = "datasets/testspectrum_multipoint.txt"
         file_reader = readers.NeaSpectralReader(os.path.join(pySNOM.__path__[0], f))