diff --git a/datasets/raise/fft/analyze_fft_ellipses.py b/datasets/raise/fft/analyze_fft_ellipses.py
index 00d6f52..b95741d 100644
--- a/datasets/raise/fft/analyze_fft_ellipses.py
+++ b/datasets/raise/fft/analyze_fft_ellipses.py
@@ -14,8 +14,7 @@ INTERESTING_VALUES_OF_AXES = {
     Axis.ORDINATE: [0, 25, 40, 55, 70,  85,  100, 117, 135, 150, 167, 182],
 }
 
-halfHeight = height // 2
-halfWidth = width // 2
+halfHeight, halfWidth = np.array(secondImage.shape) // 2
 PROFILES_OF_AXES = {
     Axis.ABSCISSA: secondImage[halfHeight , halfWidth:],
     Axis.ORDINATE: secondImage[halfHeight:, halfWidth ],
@@ -24,7 +23,7 @@ PROFILES_OF_AXES = {
 colorsOfAxes = {}
 
 for axis in Axis:
-    plt.title('Axis Fourier transform profile\n\nLocal extremas have been listed manually from the Fourier transform visualization')
+    plt.title('Profiles of Fourier transform axes\n\nLocal extremas have been listed manually from the Fourier transform visualization')
     plt.xlabel('Fourier transform axis')
     plt.ylabel('Fourier transform logarithmic intensity')
     height, width = secondImage.shape
@@ -40,18 +39,18 @@ for axis in Axis:
 def flattenDictValues(dict_):
     return itertools.chain(*dict_.values())
 
-# How to avoid hardcoding the default color being `black`?
+# TODO: How to avoid hardcoding the default color being `black`?
 MATPLOTLIB_DEFAULT_COLOR = 'black'
 
 allInterestingValuesOfAxes = list(set(flattenDictValues(INTERESTING_VALUES_OF_AXES)))
 ticks = list(plt.xticks()[0]) + allInterestingValuesOfAxes
+plt.xticks(ticks)
 for tickIndex, tick in enumerate(ticks):
     for axis in Axis:
         if tick in INTERESTING_VALUES_OF_AXES[axis]:
-            #plt.xticklabels()[tickIndex].set_color(colorsOfAxes[axis])
             pltTick = plt.xticks()[1][tickIndex]
             pltTick.set_color(MATPLOTLIB_DEFAULT_COLOR if axis == list(Axis)[-1] and pltTick.get_color() != MATPLOTLIB_DEFAULT_COLOR else colorsOfAxes[axis])
-# Changing tick color would be nice too, see https://stackoverflow.com/questions/49997934/change-color-of-specific-ticks-at-plot-with-matplotlib#comment108290728_49998338
+# TODO: Changing tick color would be nice too, see https://stackoverflow.com/questions/49997934/change-color-of-specific-ticks-at-plot-with-matplotlib#comment108290728_49998338
 
 allInterestingValuesOfAxesMin = min(allInterestingValuesOfAxes)
 allInterestingValuesOfAxesMax = max(allInterestingValuesOfAxes)