A method for determining the motion trajectory of subcellular structures based on microscopic images

Abstract

The invention discloses a method for determining the motion trajectory of a subcellular structure based on microscopic images, which comprises the following steps: (1) acquiring a time series image ofthe subcellular structure; (2) applying Gaussian filtering to the obtained image to remove noise; (3) detecting the subcellular centroid in the de-noised image by local maximum algorithm; (4) Designing the sector filter according to the velocity, direction, trend of the subcellular structure and the imaging speed of the camera; 5) calculating that matching probability of the candidate point of the subcellular structure according to the sector filter and the centroid of the subcellular structure of the image; (6) for each candidate point in the current frame image, searching for a full connection mode of all possible candidate points in a subsequent m frame image starting from the current frame, and calculating an average matching probability of each m frame continuous trajectory; (7) selecting Candidate points with the highest global average matching probability in the current frame image as the trajectory points, and the trajectory points are connected to the motion trajectory of thetarget subcellular structure.

Description

technical field [0001] The invention relates to the field of biological image processing, in particular to a method for determining the movement trajectory of subcellular structures based on microscopic images. Background technique [0002] Many vital life activities in the cell are completed on the surface of the cell membrane, such as signal transduction, protein transport and pathogen invasion. Therefore, the recording and analysis of the superficial subcellular structure of the cell membrane is of great significance to the research of biochemistry and cell biology. [0003] With the development of ultra-high-resolution optical microscopy techniques such as total internal reflection fluorescence microscopy (TIRFM), structured light illumination microscopy (SIM), and stimulated emission depletion fluorescence microscopy (STED), people can use unprecedented spatiotemporal resolution to observe cells. Complex life states and activities, and even take a large number of time-...

AI Technical Summary

Problems solved by technology

[0007] When there is no effective motion prediction, it is very likely that the trajectories of multiple target points will be wrongly spliced, resulting in the complete loss of meaning of the subsequent quantitative information of the trajectories.

Images