Blood sample detection device, blood sample detection method and blood sample detection system

Abstract

The invention relates to a blood sample detection device, a blood sample detection method and a blood sample detection system. In the invention, a to-be-tested sample and a diluent are added into a counting device. The counting device is controlled to count the diluted to-be-tested sample to obtain a counting result. According to the counting result of the to-be-test sample, sampling parameters and slide pushing parameters are determined to produce a blood smear, thereby improving preparation efficiency and quality of the blood smear. By means of collection of amplified images of the blood smear, morphological feature parameters of the objects in the amplified images are obtained, thereby performing recognition analysis to the object to obtain a morphological feature analytic result of the objects. With the morphological feature analytic result, the morphologies of various cells in the to-be-test sample can be reflected effectively, thereby accurately reflecting true situation of the blood sample.

Description

technical field [0001] The invention relates to the field of blood cell analysis, in particular to a blood sample detection device, method and system. Background technique [0002] Traditional blood routine testing includes artificial bovine abalone plate blood cell count and artificial blood smear microscopy classification and identification. The traditional method of artificial bovine abalone plate blood cell counting is to put the blood sample into the blood cell counting plate, and then use a microscope to magnify, and manually count all kinds of blood cells in the blood cell counting plate. The traditional method of manually measuring the size of red blood cells is to measure the diameter of red blood cells manually with an eyepiece micrometer on a microscope. Although manual microscopic examination is highly informative, it also has its inherent disadvantages, such as complex operation, long time-consuming, heavy workload, low efficiency, and large errors. [0003] I...

AI Technical Summary

Problems solved by technology

The results of this test can only reflect the volume distribution of platelets in the blood sample, but cannot fully reflect the shape of platelets and the aggregation of platelets

[0007] Therefore, the analysis results obtained from the detection of existing blood cells can only reflect the average distribution of each cell in the blood sample, and cannot fully reflect the real situation of the blood sample.

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