FPGA-based particle detection statistical system and method

Abstract

The invention discloses an FPGA-based particle detection statistical system and an FPGA-based particle detection statistical method. A particle analysis module comprises a filter circuit, a particle identification circuit, a decoding circuit and a statistical circuit. An A / D converter is connected with the filter circuit; the filter circuit is connected with the particle identification circuit; the particle identification circuit is connected with the decoding circuit and the statistical circuit; the decoding circuit is connected with the statistical circuit; the statistical circuit is connected with a main controller through an SPI interface circuit; and the decoding circuit is connected with the main controller through the SPI interface circuit. The system and the method have the advantages that: an interference signal and a normal signal can be distinguished; superposed signals (M signals) which are very close to each other can be identified; due to the adoption of a programmable apparatus, problems during identification of analog signals are solved; the complexity and cost of a practical circuit can be greatly reduced; and the counting accuracy of the identification rate of particle signal can be improved.

Description

technical field [0001] The present invention relates to a particle statistics system and method, in particular to an FPGA-based particle detection and statistics system and method. Background technique [0002] Electrical impedance method (coulter method) and photoresistance method have been used to detect and count particles for more than 50 years. The Coulter principle was first invented by American scientist Coulter in 1947, and it was successfully applied in blood cell analysis. At present, most hematology analyzers at home and abroad are still using the Coulter method. The photoresistance method instrument was first produced by the HIAC company of the United States, and was introduced to my country in the 1980s. It is mainly used in aerospace gasoline, medicine and other fields, and plays an important role in particle detection. [0003] Regardless of whether the electrical impedance method or the photoresistance method is used to detect particles, it is necessary to ...

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Problems solved by technology

[0004] One of the shortcomings of the traditional analog signal detection method for particles is that it cannot identify complex signals (interference signals and M signals)

Another disadvantage is that the circuit is complex when the analog method detects the signal, it is difficult to debug in actual use, and it is easy to be affected by the environment, resulting in changes in circuit parameters, resulting in inaccurate detection statistics

[0005] In recent years, methods such as visual image method and artificial neural network have emerged in the process of particle detection methods, and have achieved certain results in actual use. However, these methods are expensive in hardware resources, so few of these methods can The actual transplantation to programmable devices such as FPGA has played a certain role in hindering the promotion of these methods.

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