Label-free cell two-dimensional scattering image inversion method based on gray level co-occurrence matrix

A gray-level co-occurrence matrix and scattering image technology, applied in the field of label-free cell scattering detection research, can solve problems such as large amount of calculation, many processing steps, and failure to find cell volume rule information, and achieve effective inversion and accurate identification.

Inactive Publication Date: 2020-10-09
XI AN JIAOTONG UNIV
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Problems solved by technology

This method has many processing steps, a large amount of calculation, and requires the establishment of a machine learning model, which cannot find the regular information corresponding to the cell volume
More importantly, although the machine learning method has good acti

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  • Label-free cell two-dimensional scattering image inversion method based on gray level co-occurrence matrix
  • Label-free cell two-dimensional scattering image inversion method based on gray level co-occurrence matrix
  • Label-free cell two-dimensional scattering image inversion method based on gray level co-occurrence matrix

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[0021] specific implementation

[0022] A beam of laser light of the present invention is irradiated on the white blood cells in the peripheral blood of the human body, the laser light is scattered after passing through the cells, and the scattered light carries physical information such as the shape and size of the cells. The invention measures the forward scattered light of cells, and the forward scattered light is collected in the form of two-dimensional scattered spectral intensity to obtain a forward two-dimensional scattered image. The collected forward scattering image is filtered and denoised by digital image processing method, and then the gray level co-occurrence matrix of the image is calculated and the second order moment of the angle is obtained. Finally, it can be concluded that the angular second moment of the cell forward scattering image has a linear inversion relationship with the cell volume.

[0023] The invention mainly aims at the forward scattering images

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Abstract

The invention discloses a label-free cell two-dimensional scattering image inversion method based on a gray level co-occurrence matrix. The method comprises the following steps: acquiring a forward scattering image of a cell, calculating a gray level co-occurrence matrix of the image to solve an angular second moment, constructing a mathematical model between the cell volume and the angular secondmoment, and inverting the cell volume through the mathematical model and the angular second moment of the forward scattering image. Based on a forward two-dimensional scattering image of a cell, a quantitative law between the volume of the cell and forward scattering light of the cell is inversed; in order to find the quantitative law between the cell volume and forward scattering light thereof more simply and accurately, the scheme starts from global domain texture features of a cell two-dimensional forward scattering image, and proposes a gray-level co-occurrence matrix and a calculation method of an angular second moment of the gray-level co-occurrence matrix; and the angular second moment is used as an indirect representation cell volume, and a mathematical model between the cell volume and the angular second moment is constructed, so that the cell volume can be inversed more accurately and quickly.

Description

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Claims

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Application Information

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Owner XI AN JIAOTONG UNIV
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