diff --git a/2c_fibertyping.py b/2c_fibertyping.py
index 7497a4c78c0b8db3e344743927d6b7c422277bbe..125b99c644eb9b7c33013dd85b7c420d66b3af4c 100644
--- a/2c_fibertyping.py
+++ b/2c_fibertyping.py
@@ -1,15 +1,15 @@
 # @ String (visibility=MESSAGE, value="<html><b> Welcome to Myosoft! </b></html>") msg1
 # @ File (label="Select fiber-ROIs zip-file", style="file") roi_zip
 # @ File (label="Select image file", description="select your image") path_to_image
-#@ File (label="Select directory for output", style="directory") output_dir
-#@ Boolean (label="close image after processing", description="tick this box when using batch mode", value=False) close_raw
-#@ String (visibility=MESSAGE, value="<html><b> channel positions in the hyperstack </b></html>") msg5
-#@ Integer (label="Fiber staining 1 channel number (0=n.a.)", style="slider", min=0, max=5, value=1) fiber_channel_1
-#@ Integer (label="Fiber staining 2 channel number (0=n.a.)", style="slider", min=0, max=5, value=2) fiber_channel_2
-#@ Integer (label="Fiber staining 3 channel number (0=n.a.)", style="slider", min=0, max=5, value=3) fiber_channel_3
-#@ Integer (label="minimum fiber intensity (0=auto)", description="0 = automatic threshold detection", value=0) min_fiber_intensity_1
-#@ Integer (label="minimum fiber intensity (0=auto)", description="0 = automatic threshold detection", value=0) min_fiber_intensity_2
-#@ Integer (label="minimum fiber intensity (0=auto)", description="0 = automatic threshold detection", value=0) min_fiber_intensity_3
+# @ File (label="Select directory for output", style="directory") output_dir
+# @ Boolean (label="close image after processing", description="tick this box when using batch mode", value=False) close_raw
+# @ String (visibility=MESSAGE, value="<html><b> channel positions in the hyperstack </b></html>") msg5
+# @ Integer (label="Fiber staining 1 channel number (0=n.a.)", style="slider", min=0, max=5, value=1) fiber_channel_1
+# @ Integer (label="Fiber staining 2 channel number (0=n.a.)", style="slider", min=0, max=5, value=2) fiber_channel_2
+# @ Integer (label="Fiber staining 3 channel number (0=n.a.)", style="slider", min=0, max=5, value=3) fiber_channel_3
+# @ Integer (label="minimum fiber intensity (0=auto)", description="0 = automatic threshold detection", value=0) min_fiber_intensity_1
+# @ Integer (label="minimum fiber intensity (0=auto)", description="0 = automatic threshold detection", value=0) min_fiber_intensity_2
+# @ Integer (label="minimum fiber intensity (0=auto)", description="0 = automatic threshold detection", value=0) min_fiber_intensity_3
 # @ ResultsTable rt
 # @ RoiManager rm
 
@@ -50,7 +50,7 @@ def get_threshold_from_method(imp, channel, method):
         A list containing the upper and the lower threshold (integer values).
     """
     # Set the channel of the imp to the desired channel
-    imp.setC(channel) # starts at 1
+    imp.setC(channel)  # starts at 1
     # Get the processor of the imp
     ip = imp.getProcessor()
     # Set the AutoThreshold method to the desired method
@@ -159,28 +159,35 @@ if __name__ == "__main__":
     roimanager.load_rois_from_zip(rm, input_rois_path)
     roimanager.change_roi_color(rm, "blue")
 
-# update the log for the user
-IJ.log( "Now working on " + str(raw_image_title) )
-if raw_image_calibration.scaled() == False:
-    IJ.log("Your image is not spatially calibrated! Size measurements are only possible in [px].")
-IJ.log( " -- settings used -- ")
-IJ.log( "Selected fiber-ROIs zip-file = " + str(input_rois_path) )
-IJ.log( "Fiber staining 1 channel number = " + str(fiber_channel_1) )
-IJ.log( "Fiber staining 2 channel number = " + str(fiber_channel_2) )
-IJ.log( "Fiber staining 3 channel number = " + str(fiber_channel_3) )
-IJ.log( " -- settings used -- ")
-
-# measure size & shape,
-IJ.run("Set Measurements...", "area perimeter shape feret's redirect=None decimal=4")
-IJ.run("Clear Results", "")
-measure_in_all_rois( raw, fiber_channel_1, rm )
+    # update the log for the user
+    IJ.log("Now working on " + str(raw_image_title))
+    if not raw_image_calibration.scaled():
+        IJ.log(
+            "Your image is not spatially calibrated! Size measurements are only possible in [px]."
+        )
+    IJ.log(" -- settings used -- ")
+    IJ.log("Selected fiber-ROIs zip-file = " + str(input_rois_path))
+    IJ.log("Fiber staining 1 channel number = " + str(fiber_channel_1))
+    IJ.log("Fiber staining 2 channel number = " + str(fiber_channel_2))
+    IJ.log("Fiber staining 3 channel number = " + str(fiber_channel_3))
+    IJ.log(" -- settings used -- ")
+
+    # measure size & shape,
+    IJ.run(
+        "Set Measurements...", "area perimeter shape feret's redirect=None decimal=4"
+    )
+    IJ.run("Clear Results", "")
     roimanager.measure_in_all_rois(raw, fiber_channel_1, rm)
 
-# loop through the fiber channels, check if positive, add info to results table
-all_fiber_channels = [fiber_channel_1, fiber_channel_2, fiber_channel_3]
-all_min_fiber_intensities = [min_fiber_intensity_1, min_fiber_intensity_2, min_fiber_intensity_3]
-roi_colors = ["green", "orange", "red"]
-all_fiber_subsets =[ [], [], [] ]
+    # loop through the fiber channels, check if positive, add info to results table
+    all_fiber_channels = [fiber_channel_1, fiber_channel_2, fiber_channel_3]
+    all_min_fiber_intensities = [
+        min_fiber_intensity_1,
+        min_fiber_intensity_2,
+        min_fiber_intensity_3,
+    ]
+    roi_colors = ["green", "orange", "red"]
+    all_fiber_subsets = [[], [], []]
 
     for index, fiber_channel in enumerate(all_fiber_channels):
         if fiber_channel > 0:
@@ -242,24 +249,28 @@ all_fiber_subsets =[ [], [], [] ]
                     "YES",
                 )
 
-# single positive
-positive_c1 = all_fiber_subsets[0]
-positive_c2 = all_fiber_subsets[1]
-positive_c3 = all_fiber_subsets[2]
-# double positive
-positive_c1_c2 = list( set(all_fiber_subsets[0]).intersection(all_fiber_subsets[1]) )
-positive_c1_c3 = list( set(all_fiber_subsets[0]).intersection(all_fiber_subsets[2]) )
-positive_c2_c3 = list( set(all_fiber_subsets[1]).intersection(all_fiber_subsets[2]) )
-# triple positive
-positive_c1_c2_c3 = list( set(positive_c1_c2).intersection(all_fiber_subsets[2]) )
-
-# update ROI color & results table for double and triple positives
-channels = [
-    (positive_c1_c2, [fiber_channel_1, fiber_channel_2], "magenta"),
-    (positive_c1_c3, [fiber_channel_1, fiber_channel_3], "yellow"),
-    (positive_c2_c3, [fiber_channel_2, fiber_channel_3], "cyan"),
-    (positive_c1_c2_c3, [fiber_channel_1, fiber_channel_2, fiber_channel_3], "white")
-]
+    # single positive
+    positive_c1 = all_fiber_subsets[0]
+    positive_c2 = all_fiber_subsets[1]
+    positive_c3 = all_fiber_subsets[2]
+    # double positive
+    positive_c1_c2 = list(set(all_fiber_subsets[0]).intersection(all_fiber_subsets[1]))
+    positive_c1_c3 = list(set(all_fiber_subsets[0]).intersection(all_fiber_subsets[2]))
+    positive_c2_c3 = list(set(all_fiber_subsets[1]).intersection(all_fiber_subsets[2]))
+    # triple positive
+    positive_c1_c2_c3 = list(set(positive_c1_c2).intersection(all_fiber_subsets[2]))
+
+    # update ROI color & results table for double and triple positives
+    channels = [
+        (positive_c1_c2, [fiber_channel_1, fiber_channel_2], "magenta"),
+        (positive_c1_c3, [fiber_channel_1, fiber_channel_3], "yellow"),
+        (positive_c2_c3, [fiber_channel_2, fiber_channel_3], "cyan"),
+        (
+            positive_c1_c2_c3,
+            [fiber_channel_1, fiber_channel_2, fiber_channel_3],
+            "white",
+        ),
+    ]
 
     for positives, ch_nums, color in channels:
         if positives:
@@ -289,13 +300,13 @@ channels = [
     # dress up the original image, save a overlay-png, present original to the user
     raw.show()
     roimanager.show_all_rois_on_image(rm, raw)
-# raw.setDisplayMode(IJ.COMPOSITE)
-enhance_contrast( raw )
-IJ.run("From ROI Manager", "") # ROIs -> overlays so they show up in the saved png
-qc_duplicate = raw.duplicate()
-IJ.saveAs(qc_duplicate, "PNG", output_dir + "/" + raw_image_title + "_fibertyping")
-qc_duplicate.close()
-wm.toFront( raw.getWindow() )
+    # raw.setDisplayMode(IJ.COMPOSITE)
+    enhance_contrast(raw)
+    IJ.run("From ROI Manager", "")  # ROIs -> overlays so they show up in the saved png
+    qc_duplicate = raw.duplicate()
+    IJ.saveAs(qc_duplicate, "PNG", output_dir + "/" + raw_image_title + "_fibertyping")
+    qc_duplicate.close()
+    wm.toFront(raw.getWindow())
 
     IJ.log(
         "Script finished. Total runtime [HH:MM:SS.ss]: "