Cell in-situ active deformation measurement method

Abstract

The invention relates to an cell in-situ active deformation measurement method, which comprises the following measurement steps: (1) dividing square sampling grids on a cell-base fluorescent reference image and a corresponding deformation image; (2) determining the sizes of a reference subarea and a searching area; (3) establishing four global summation table; (4) calculating the cross correlation coefficient between the image reference subarea and the corresponding searching area, which take a sampling point as a center, by recurrence; (5) quickly calculating a zero-mean normalization related coefficient matrix by looking up the summation table according to the result of the step (4), and determining the overall pixel displacement of the sampling point; (6), performing subpixel interpolation by using a gradient method; and (7) recurring and calculating the displacement of the sampling point to obtain an accurate displacement field of a whole deformed image. The method has the advantages of accurate and high-efficiency measurement and high time-space resolution. The method can be used in cell in-situ active deformation measurement with high time-space resolution.

Description

technical field The invention relates to a method for measuring cell microscopic deformation, in particular to a method for measuring the active deformation of cells in situ for quantitative analysis of the physical interaction between cells and extracellular matrix (elastic substrate). Background technique Cells are the basis of life science research and an important pillar for the development of modern life science. In general, cells in animal tissues not only contact and interact with adjacent cells, but also interact with a complex network structure filled with extracellular space, that is, the extracellular matrix, composed of secreted proteins and polysaccharides. The interaction between cells and the physical environment such as the extracellular matrix involves many complex biochemical signal transduction pathways, and the quantitative study of this interaction behavior has important physiological and pathological significance. A commonly used method to study the in...

AI Technical Summary

Problems solved by technology

However, the area feature matching method based on optical flow has a large amount of search calculation, and the calculation speed is difficult to meet the requirements; the calculation speed of the fluorescent particle point tracking method based on pattern recognition is slightly faster, but due to the same geometric and optical characteristics of a single fluorescent particle spot, the actual processing Error tracking is very easy to occur in the process, and the accuracy of calculation results is difficult to guarantee

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