The invention provides a single particle
diffusion quantitative feature prediction method and device,
electronic equipment and a storage medium. The method comprises the following steps: acquiring a target input image corresponding to a target single particle; based on a pre-trained
particle trajectory prediction model, according to the target input image, predicting to obtain a particle pseudo trajectory image; on the basis of the particle pseudo-trajectory image,
diffusion quantitative characteristics of the target single particle are calculated; wherein the
particle trajectory prediction model is obtained by performing training optimization according to a first training sample set formed by the single-particle motion blurred image and the corresponding particle motion trajectory image. According to the method, the actual movement path of the target single particle is predicted from the target input image through the
particle trajectory prediction model, and the
diffusion quantitative characteristic of the target single particle is calculated based on the actual movement path, so that the diffusion coefficient of a large number of single particles can be rapidly and accurately predicted in a high-mark-density environment, and the
phototoxicity is remarkably reduced; diffusion characteristics of different
biological particles can be effectively distinguished, and a powerful tool is provided for dynamic research of particles in a diffusion
system and living cells.