diff --git a/pyctbgui/pyctbgui/services/Plot.py b/pyctbgui/pyctbgui/services/Plot.py
index b172f8102..318a00317 100644
--- a/pyctbgui/pyctbgui/services/Plot.py
+++ b/pyctbgui/pyctbgui/services/Plot.py
@@ -428,7 +428,7 @@ class PlotTab(QtWidgets.QWidget):
             self.mainWindow.pixel_map = pm.matterhorn1_transceiver_16bit_1_counter()
         elif self.view.comboBoxPlot.currentText() == "Matterhorn1_16bit_4_counters":
             print("Setting pixel map for Matterhorn1 with 4 counters")
-            self.mainWindow.nTransceiverRows = Defines.Matterhorn1.nRows
+            self.mainWindow.nTransceiverRows = Defines.Matterhorn1.nRows*4
             self.mainWindow.nTransceiverCols = Defines.Matterhorn1.nCols
             self.mainWindow.pixel_map = pm.matterhorn1_transceiver_16bit_4_counters()
         elif self.view.comboBoxPlot.currentText() == "Moench04":
diff --git a/pyctbgui/pyctbgui/services/Transceiver.py b/pyctbgui/pyctbgui/services/Transceiver.py
index 124de5d0b..e478587f5 100644
--- a/pyctbgui/pyctbgui/services/Transceiver.py
+++ b/pyctbgui/pyctbgui/services/Transceiver.py
@@ -134,7 +134,8 @@ class TransceiverTab(QtWidgets.QWidget):
             transceiverOffset += nDBitEnabled * (nbitsPerDBit // 8)
         trans_array = np.array(np.frombuffer(data, offset=transceiverOffset, dtype=np.uint16))
         print(f'{trans_array.shape=}')
-        tmp =  decoder.decode(trans_array, self.mainWindow.pixel_map)
+        # tmp =  decoder.decode(trans_array, self.mainWindow.pixel_map)
+        tmp = np.take(trans_array, self.mainWindow.pixel_map)
         print(f'{tmp.shape=}')
         return tmp
 
diff --git a/pyctbgui/pyctbgui/utils/pixelmap.py b/pyctbgui/pyctbgui/utils/pixelmap.py
index 1dd533964..72fbcc385 100644
--- a/pyctbgui/pyctbgui/utils/pixelmap.py
+++ b/pyctbgui/pyctbgui/utils/pixelmap.py
@@ -79,7 +79,7 @@ def matterhorn1_transceiver_16bit_4_counters():
     n_counters = 4
     n_cols = 256
     n_rows = 256
-    pixel_map = np.zeros((n_rows*n_counters,n_cols,n_counters), np.uint32)
+    pixel_map = np.zeros((n_rows*n_counters,n_cols), np.uint32)
 
     for row in range(n_rows):
         for counter in range(n_counters):