Quantitative analysis method aiming at apoptotic cell morphology of fluorescence microscopic image

Abstract

The invention relates to a quantitative analysis of an apoptotic cell morphology, which can effectively divide cell individuals from an image, automatically calculate cell two-dimensional morphology parameters and greatly shorten image analyzing time. The technical scheme adopted by the invention is a quantitative analysis method aiming at the apoptotic cell morphology of a fluorescence microscopic image. The quantitative analysis method comprises the following steps: (1) collecting a plurality of pairs of fluorescence microscopic cell images to be treated; (2) applying median filtering to a light microscope image in one pair of the images; carrying out gray stretching and carrying out image pre-treatment by using morphology opening operation; (3) automatically finding a threshold value by using an Otsu algorithm; (4) obtaining a divided binary image; (5) filling holes by using a morphology expansion and corrosion method, and removing small regions and incomplete targets on the boundary; (6) judging the state of a cell by the divided binary image according to a dyeing result; (7) outputting a parameter calculation result of each cell. The invention is mainly applied to the quantitative analysis method for the apoptotic cell morphology.

Description

technical field [0001] The invention relates to a quantitative analysis method for the morphology of apoptotic cells, in particular to a method for extracting fluorescence staining results and two-dimensional morphological parameters of fluorescent microscopic cell images, belonging to the technical field of microscopic image processing and application, and relating to cell apoptosis Morphological observation, staining detection of apoptotic cells, image enhancement, image threshold segmentation, target edge detection in images, calculation of two-dimensional morphological parameters, and related fields. Specifically, it relates to a quantitative analysis method for the morphology of apoptotic cells in fluorescence microscopic images. technical background [0002] Apoptosis or programmed cell death (PCD), which is another way of death different from necrosis, is used to describe the process of cell death with definite morphological changes, Kerr et al first defined this ser...

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Problems solved by technology

[0006] In order to overcome the defect that the existing cell image analysis method cannot be combined with the staining results to distinguish and analyze normal cells and apoptotic cells, the present invention provides a two-dimensional morphological analysis method for apoptotic cells, which can not only Effectively segment the individual cells from the image, automatically calculate the two-dimensional morphological parameters of the cells, without the need for the user to manually outline the cells, greatly shortening the image analysis time, and can combine the staining results to classify and count apoptotic cells and normal cells , to provide a quantitative expression of the state of apoptosis using morphological characteristic parameters, providing modern means and more accurate data for the processing of cell images and the analysis of morphological differences between apoptotic cells and normal cells

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