A computer-implemented method is provided for analyzing videos of a living system captured with microscopic imaging. The method comprises: obtaining (S10) a base dataset including one or more videos captured with microscopic imaging, at least one of the one or more videos including a cellular event; cropping out (S30), from the base dataset, sub-videos including one or more objects of interest that may be involved in the cellular event; receiving (S40) information indicating a plurality of sub-videos selected from among the sub-videos that are cropped out from the base dataset, the plurality of selected sub-videos including the cellular event; training (S50) an artificial neural network, ANN, model, using the plurality of selected sub-videos as training data, to perform unsupervised video alignment; obtaining (S602) a query sub-video, the query sub-video being: one of the sub-videos that are cropped out from the base dataset, or a sub-video cropped out from a video that is captured with microscopic imaging and that is not included in the base dataset; aligning (S604), using the trained ANN model, the query sub-video with a reference sub-video that is one of the plurality of selected sub-videos; and determining (S606), according to a result of the aligning, whether or not the query sub-video includes the cellular event.