Method for improving accuracy of blood sample leukocyte classifying result

Abstract

A method for improving the accuracy of leukocyte classifying result of blood sample comprises: A, in the counting process of leukocyte, adding hemolytic agent in two times, testing and obtaining a first leukocyte counting number after adding the hemolytic agent at first time and a first leukocyte histogram, and a second leukocyte counting number after adding hemolytic agent at second time, while the hemolytic dosage added in the first time makes red blood cell fragments left affecting the counting number of leukocyte in the blood sample, and the hemolytic dosage added in the second time makesno red blood cell fragments left to avoid affecting the counting number of leukocyte; B, according to the ratio between the first leukocyte counting number and the second leukocyte counting number, determining a leukocyte classification histogram, and classifying leukocytes. The method can confirm the accuracy of leukocyte counting number and hemoglobin test result, and can improve the classification accuracy of leukocyte of animal blood samples of dog, cat and the like.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a method for effectively improving the accuracy of white blood cell classification results of blood samples from dogs, cats and other animals. Background technique [0002] As an instrument for counting and classifying animal blood cell parameters, the veterinary blood cell analyzer has been widely used in animal clinical and laboratory fields, mainly providing white blood cells (WBC), lymphocyte percentage (Lymph%), monocyte percentage (Mon %), granulocyte percentage (Gran%), red blood cells (RBC), platelets (PLT), mean corpuscular volume (MCV), hematocrit (HCT), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), Hemoglobin (HGB) and other test parameters, the test results are used by doctors to diagnose the condition of animals, so the test results are required to be accurate and reliable. [0003] use as figure 1 The hematology analy...

AI Technical Summary

Problems solved by technology

That is, due to the wide distribution range of red blood cell fragments, after filtering out the interference of red blood cell fragments with fixed landmarks, the white blood cell count results will be inaccurate

[0006] It can be seen that in the current counting and classification of animal blood cell parameters, the first method of adding enough hemolytic agent can solve the problem of white blood cell count accuracy, but it cannot accurately give the white blood cell classification parameters

The second weakly soluble treatment method can improve the accuracy of the classification results, but the white blood cell count results are inaccurate. When the fixed landmark is used to filter out the interference of red blood cell fragments, the white blood cell test results will still deviate from the actual value due to the specificity of the animal sample itself.

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