Robust estimation of the motile cilia beating frequency (original) (raw)

This paper presents a novel method for accurately estimating the ciliary beating frequency (CBF) using a technique that averages the squared Fourier transform of individual pixels followed by summation over different frequencies, termed the Compressed Spectrum. The method's robustness is demonstrated through various examples and simulations, including its application to images of ciliated ependymal cells in mouse brains, revealing significant variations in CBF linked to metabolic changes. This improved estimation technique offers promising insights into the physiological role of cilia in maintaining local homeostasis and cellular function.