Image processing method and device for flow cytometry microscopic imaging device
A microscopic imaging and image processing technology, applied in the field of image recognition, can solve problems such as slow processing speed, large computing power resources, complex target detection algorithm model, etc., and achieve the effect of reducing the amount of data
Pending Publication Date: 2022-05-10
天津凌视科技有限公司
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Color-based recognition is not suitable for grayscale images; contour recognition is suitable for images with clear contours and sharp contrast between objects and backgrounds; the target detection algorithm model using neural networks is more complex, consumes a lot of computing resources, and the processing speed is slower
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[0028] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present application, not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts also fall within the protection scope of the present application.
[0029] The terms used in this specification are those general terms currently widely used in the art in consideration of functions about the present disclosure, but the terms may be changed according to the intention of those of ordinary skill in the art, precedents, or new technologies in the art. Also, specific terms may be selected by the applicant, and in this case, their detailed meanings will be described in the detailed description of the present disclosure. ...
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The invention relates to an image processing method and device for a flow cytometry microscopic imaging device. The method comprises the following steps: in response to the condition that the particles do not pass through a flow pipeline of the flow cytometry microimaging device, acquiring a first image without the particles; obtaining a second image in response to the particles passing through a flow pipeline of the flow cytometry microimaging device; calculating the similarity between the first image and the second image to determine whether the second image comprises particles; in response to the fact that the second image comprises the particles, determining the position of a particle area comprising the particles in the second image based on the first image and the second image; according to the determined position of the particle area, a second area including the particles is segmented from the second image, and the size of the second area is larger than that of the particle area.
Description
technical field [0001] The present application relates to the technical field of image recognition, in particular to a method, device, electronic device and computer-readable storage medium for segmenting cell images obtained based on flow cytometry microscopic imaging technology. Background technique [0002] The problem of cell recognition and segmentation has always been the focus of research in the fields of medical detection judgment, drug development research, and environmental detection. The detection speed of flow cytometry is fast, up to thousands of cells per second, but the information obtained by the detection has few dimensions, and cells cannot be classified by high-dimensional information such as cell volume and shape, so the accuracy is not high, and usually only For quantitative analysis, it is often used for primary screening of cells. Microscopic examination can observe the image of cells, but it needs to go through processes such as staining and preparat...
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IPC IPC(8): G06V20/69G06V10/22G06V10/26G06V10/74G06K9/62
CPCG06F18/22
Inventor 陈宏强
Owner 天津凌视科技有限公司