Machine learning assisted droplet digital nucleic acid detection device and detection method

Abstract

The invention provides a machine learning assisted droplet digital nucleic acid detection device and a detection method. The droplet digital nucleic acid detection device comprises three parts, namely a droplet generation chip, a nucleic acid amplification device and a fluorescence detection chip. The invention provides a novel microfluidic-based high-flux droplet digital nucleic acid detection low-cost system aiming at nucleic acid detection problems that an existing isothermal amplification or non-isothermal amplification nucleic acid detection operation is complicated, POCT is difficult to realize and absolute quantification is difficult by utilizing a microfluidic technology and machine learning-assisted graphic processing, which can meet requirements of detection equipment with high biological safety, portability and high efficiency.

Description

technical field [0001] The invention belongs to the field of on-site qualitative detection, and in particular relates to a microdrop digital nucleic acid detection device and detection method assisted by machine learning. Background technique [0002] Infectious viruses are highly transmissible and easy to mutate, making prevention and control difficult, and have had a very serious impact on people's health and life. When an infectious virus spreads, the best solution is to quickly and accurately detect the infectious agent and isolate the vector to prevent further spread. The existing nucleic acid detection operation is complex and time-consuming, and needs to be implemented in a biosafety laboratory, making it difficult to achieve on-site application. [0003] At present, nucleic acid detection technology has been widely used in the field of clinical medicine, but in the public areas on the front line of anti-epidemic, such as railway stations, airports, clinical inspecti...

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Problems solved by technology

[0004] The present invention provides a microdrop digital nucleic acid detection device and detection method assisted by machine learning, aiming at the nucleic acid detection problems of the existing constant temperature amplification or non-constant temperature amplification nucleic acid detection operation is complicated, it is difficult to realize POCT, and the detection is difficult to be absolutely quantitative

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