The invention discloses a single-molecule super-resolution
microscopic imaging method based on depth spatio-
temporal information integration, and belongs to the field of biological super-resolution
microscopic imaging. The implementation method comprises the following steps: establishing an initial
network model for positioning the ultrahigh-density fluorescent molecules; training parameters and network hyper-parameters are set, and a
flicker mechanism and a time window are fused to obtain training data; training the network by using the training data until an iteration round reaches a training parameter setting round, and model effect evaluation is close to stability between the training rounds and does not continue to be obviously improved; converting to-be-measured data into
photon data through camera parameters, inputting the
photon data into the network, and outputting a probability matrix and positioning information; fluorescent molecule position information of each frame is obtained according to a set probability threshold value, and a super-resolution positioning map of the fluorescent molecules is obtained through reconstruction. The method is combined with a single-molecule positioning
microtechnique, the positioning precision of ultrahigh-density super-resolution imaging is improved, and the method is suitable for
fluorescence microscopic imaging of fixed cells under different imaging conditions.