Sample analyzer and method for detecting cryptococcus and computer readable storage medium

Abstract

The invention discloses a sample analyzer and a method for detecting cryptococcus in a sample, and a computer readable storage medium. The sample analyzer comprises a sampling device, a sample preparation device, an optical detection device and a control device, and the control device is electrically connected with the optical detection device and comprises a processor and a storage medium in which a computer program is stored. The control is configured as when the computer program is executed by the processor, the following steps are executed: acquiring at least two kinds of light intensity information in the optical information from the optical detection device, and distinguishing the cryptococcus particle swarm in the sample to be detected according to the at least two kinds of light intensity information. Whether a sample has cryptococcus infection or not can be rapidly and accurately detected by utilizing the characteristic that pathogenic cryptococcus has thick capsule.

Description

technical field [0001] The present application relates to the field of in vitro diagnosis, in particular to a sample analyzer, a method and a computer-readable storage medium for detecting cryptococcus in a sample. Background technique [0002] Cryptococcus is a common fungus that can cause invasive infections in humans. Cryptococcus (Cryptococcus) includes 17 species and 18 varieties, the most pathogenic to humans is Cryptococcus neoformans (Cryptococcus neoformans). Cryptococcus neoformans is widely distributed in nature, and can also exist on the human body surface, oral cavity and intestinal tract. [0003] Cryptococcus is generally an exogenous infection. It invades the human body through the respiratory tract, and can invade all organs and tissues when it spreads from the lungs through the blood. The most common site is the central nervous system. Cryptococcosis neoformans occurs in patients with low cellular immune function, such as AIDS, malignant tumors, diabetes...

AI Technical Summary

Problems solved by technology

Although antigen, antibody detection and nucleic acid detection methods have high sensitivity, they have high false positive rate and high detection cost, and this type of detection is not a routine detection item. Whether to perform such detection needs to be judged according to the experience of clinicians. Therefore, subjective factors are also one of the reasons restricting the development of such testing projects.

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