  Cellular micromotion - a tiny movement of cell membranes on the
nanometer-micrometer scale - has been proposed as a pathway for inter-cellular
signal transduction and as a label-free proxy signal to neural activity. Here
we harness several recent approaches of signal processing to detect such
micromotion in video recordings of unlabeled cells. Our survey includes
spectral filtering of the video signal, matched filtering, as well as 1D and 3D
convolutional neural networks acting on pixel-wise time-domain data and a whole
recording respectively.
