Microbial identification system and method based on Logistic four-parameter model and MASCA algorithm

Abstract

The invention provides a microbial identification system and method based on a Logistic four-parameter model and a MASCA algorithm. The system comprises a microbial culture part, an acquisition calculation part, a curve generating part and a microbial judgement part. The microbial culture part is provided with multiple incubation holes and used for culturing to-be-identified microorganisms, wherein the incubation holes are formed in an incubation plate, and a base liquid is placed in each incubation hole; the acquisition calculation part is provided with a CCD camera and a computer, wherein the CCD camera is used for acquiring an image of a bacterial liquid of the to-be-identified microorganisms in each incubation hole and obtaining the gray value of the image, and the computer is connected with the CCD camera and used for converting the gray values into microorganism bacterial liquid turbidity values on the basis of a predetermined rule; the curve generating part is used for generating a growth curve according to the turbidity values of the microorganism bacterial liquids during logarithmic growth period and the to-be-identified microorganisms in each incubation hole during corresponding growth time; the microbial judgement part is used for matching the growth curve with a standard growth curve of known microorganisms in a standard growth curve database and correspondingly obtaining the species of the to-be-identified microorganisms. According to the method, the microorganism identification system is adopted for identification, and finally the species of the to-be-identified microorganisms is obtained.

Description

technical field [0001] The invention belongs to the field of data processing and digital calculation in biological identification technology, in particular to a microbial identification system and method based on a Logistic four-parameter model and a MASCA algorithm. Background technique [0002] The research on microbial identification system in China started relatively late in the late 20th century. In traditional micro-classification identification, microbial identification is mainly based on morphological characteristics, physiological and biochemical reaction characteristics, ecological characteristics, serological reactions, and sensitivity to phages. Although domestic microbial identification instruments are moderately priced and suitable for widespread use, their performance is uneven, and human factors have a greater impact. Some new microbial species and subspecies cannot be identified, and domestic readers all use turbidimetric and colorimetric techniques, and th...

AI Technical Summary

Problems solved by technology

Although domestic microbial identification instruments are moderately priced and suitable for widespread use, their performance is uneven, and human factors have a greater impact

Some new microbial species and subspecies cannot be identified, and domestic readers all use turbidimetric and colorimetric techniques, and the identification speed is relatively slow

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