diff --git a/datasets/raise/fft/analyze_fft_ellipses.py b/datasets/raise/fft/analyze_fft_ellipses.py
new file mode 100644
index 0000000..49dd3fc
--- /dev/null
+++ b/datasets/raise/fft/analyze_fft_ellipses.py
@@ -0,0 +1,40 @@
+import matplotlib.pyplot as plt
+from enum import Enum, auto
+import itertools
+
+class Axis(Enum):
+    ABSCISSA = auto()
+    ORDINATE = auto()
+
+    def __str__(self):
+        return self.name.title()
+
+# TODO: with right color
+# TODO: precising somehow low or high
+# TODO: limit axis based on these values
+INTERESTING_VALUES_OF_AXES = {
+    Axis.ABSCISSA: [0, 30, 60, 84],
+    Axis.ORDINATE: [0, 25, 40, 55],
+}
+
+for axisName, axisProfile in zip(Axis, [secondImage[height // 2, width // 2:], secondImage[height // 2:, width // 2]]):
+    plt.title('Axis Fourier transform profile')
+    plt.xlabel('Fourier transform axis')
+    plt.ylabel('Fourier transform logarithmic intensity')
+    height, width = secondImage.shape
+    plt.plot(axisProfile, label = axisName)
+
+'''
+for axis in Axis:
+    for interestingValueOfAxis in INTERESTING_VALUES_OF_AXES[axis]:
+        match axis:
+            case Axis.ABSCISSA:
+                plt.vlines(interestingValueOfAxis)
+            #case Axis.ORDINATE:
+'''
+
+#allInterestingValuesOfAxes = list(set(itertools.chain(*INTERESTING_VALUES_OF_AXES.values())))
+plt.xticks(list(plt.xticks()[0]) + allInterestingValuesOfAxes)
+
+plt.legend()
+plt.show()
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