IEEEAbstract—Ciliary movements within  the  human  airwayare  essential  for  maintaining  a  clean  lung  environment.Motile  cilia  have  a  characteristic  ciliary  beat  frequency(CBF).  However,  CBF  measurement  with  current  videomicroscopic techniques can be error-prone due to the useof  the single-point Fourier transformation, which is  oftenbiased  for  ciliary  measurements.  Herein,  we  describe  anew  video  microscopy  technique  that  harnesses  a  met-ric  of  motion-contrast  imaging  and  image  correlation  forCBF  analysis. It  can provide objective and selective CBFmeasurements for individual motile cilia and generate CBFmaps for the imaged area. The measurement performance ofour methodology was validated within vitrohuman airwayorganoid  models  that  simulated  an  actual  human  airwayepithelium.  The  CBF  determined  for  the  region  of  inter-est (ROI) was equal to that obtained with manual counting