Temporal information inference from static high-content fluorescent microscopy

Recent advancements in high content fluorescent microscopy have enabled us to capture large amounts of cellular/sub-cellular information in a single snapshot. In this paper, we propose a method to infer temporal information from static high content fluorescent microscopy images. The proposed method is based on low dimensional embedding of the optimal transport manifold and enables simulation of time-lapse microscopy images from static data. We demonstrate the application of the method on a dataset of bone marrow extracted macrophages to simulate video realistic results from static images.