Intelligent locating method facing to micro-fluidic chip

Abstract

The invention relates to an intelligent positioning method facing a microfluidic chip, the use of chip planar images in CCD camera acquisition microfluidic chip analysis system, using morphological filters and OPTA (one-pass thinning algorithm) refinement algorithm to denoise and refine the chip ichnography, being a skeleton-map of the chip ichnography; based on chip skeleton map, extracts relevant node on the network of micro-channels of microfluidic chip; According to the joint position of all micro-channels and relations between the two connection, generates adjacent table; According to the adjacent table on the microfluidic chip for intelligent tracking positioning, makes the adjacent table feedback amendments through the relevant feedback algorithm in accordance with the positioning results. It is based on the relevant image processing technology designed with a fully automated positioning, high precision, high speed and can track position, and other characteristics, it can improve the automaticed analysis for all microfluidic chip analysis system.

Description

technical field [0001] The invention relates to the technical field of intelligent pattern recognition and image processing, and relates to an intelligent positioning method for microfluidic chips. Background technique [0002] The microfluidic chip analysis system, also known as the micro-full analysis system, was researched by Manz and Widmer of Ciba Geigy in Switzerland in the early 1990s. At that time, the main research focus was on the "micro" and "Full", and MEMS processing methods for microchannel networks. By 1994, Ramsey of Oak Ridge National Laboratory in the United States published a series of papers on the basis of Manz's work, which improved the sampling method of chip capillary electrophoresis, improved its performance and practicability, and commercialized the microfluidic chip analysis system. The development value begins to appear. In recent years, international research on microfluidic chips has gradually become a hot spot, and is accelerating towards min...

AI Technical Summary

Problems solved by technology

[0003] At present, the main analysis method for chips in the micro-total analysis system is the laser-induced fluorescence method. This method needs to locate the micro-pipe network on the chip. However, the current micro-total analysis systems basically use manual positioning. This positioning method has disadvantages such as low positioning accuracy, time-consuming and laborious, and inability to complete tracking and positioning.

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