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Digital microfluidic chip fault detection method and system based on improved particle swarm algorithm
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A technology for improving particle swarm and digital microfluidics, which is applied in the field of micro-digital microfluidic chip fault detection and digital microfluidic chip fault detection. The effect of facilitating the droplet path reconstruction problem
Active Publication Date: 2020-08-07
HARBIN INST OF TECH
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[0007] The purpose of the present invention is to solve the shortcoming of long fault location time of the digital microfluidic chip fault detection method in the prior art, and propose a new digital microfluidic chip fault detection and localization method based on the improved particle swarm algorithm
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specific Embodiment approach 1
[0044] Specific implementation mode one: the digital microfluidic chip fault detection method based on the improved particle swarm algorithm of this embodiment, such as figure 1 shown, including the following steps:
[0045] Step 1: Obtain the starting position and end position of the test droplet; the test droplet is used to move between adjacent electrode arrays of the digital microfluidic chip to determine whether there is a fault between the adjacent electrode arrays; every two The edges between two adjacent electrode arrays are given different numbers.
[0046] Specifically, the start position and end position are set to correspond to the liquid storagepool and waste liquid pool existing on the Lion microfluidic chip. The experimental droplet needs to start from the liquid storagepool and traverse all electrode arrays and adjacent electrode arrays. Finally, it reaches the waste liquid pool, so it is first necessary to determine the starting position and end position of...
specific Embodiment approach 2
[0082] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is:
[0083] In Step 4, the ratio of the speed vector Speed determined through method A is 20%, the ratio determined through method B is 50%, and the ratio determined through method C is 30%.
[0084] As mentioned above, the optimal parameters can be adjusted by adjusting the ratios of the three modes A, B, and C, and the ratios provided in this embodiment are a set of preferred ratios.
[0085] Other steps and parameters are the same as those in Embodiment 1.
specific Embodiment approach 3
[0086] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is:
[0087] The digital microfluidic chip also has experimental droplets, and the experimental droplets and the test droplets meet the following conditions:
[0088] |x i t -x j t |>1 and |y i t -y j t |>1
[0089] |x i t+1 -x j t |>1 and |y i t+1 -y j t |>1
[0090] where x i t Indicates the abscissa of the test droplet at time t, y i t Indicates the ordinate of the test droplet at time t, x j t Indicates the abscissa of the experimental droplet at time t, y j t Indicates the ordinate of the experimental droplet at time t, x i t+1 Indicates the abscissa of the test droplet at time t+1, y i t+1 Indicates the ordinate of the test droplet at time t+1.
[0091] That is to say, the aforementioned static constraints and dynamic constraints that need to be satisfied in order to ensure that the experimental droplets do not merge with the test dropl...
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Abstract
The present invention relates to an improved particle swarm algorithm-based digital micro-flow control chip fault detection method and a system, and belongs to the fault detection field of digital micro-flow control chips. According to the technical scheme of the invention, the problem in the prior art that based on existing digital micro-flow control chip fault detection methods, the fault locating time is long can be solved. In order to solve the above problem in the prior art, the invention provides the improved particle swarm algorithm-based digital micro-flow control chip fault detection method. The method comprises the steps of acquiring the start position and the end position of a to-be-tested droplet; constructing a taboo table; constructing at least one particle swarm and constructing a position matrix for each particle swarm corresponding to the particle swarm; determining a velocity vector for each particle according to the particle swarm algorithm until all adjacent electrodes are traversed; according to a formula, updating the position sequence of the particle; calculating the fitness of the position vector of each particle; respectively determining the current shortest path of each particle swarm and the global shortest path; repeating the above steps until a predetermined number of iterations is reached; and outputting the global shortest path. The method and the system of the present invention are applicable to the digital micro-flow control chip fault detection.
Description
technical field [0001] The invention relates to a digital microfluidic chip fault detection method and system based on an improved particle swarm algorithm, and belongs to the field of micro digital microfluidic chip fault detection. Background technique [0002] With the development of science and technology, the field of automatic testing has expanded from the testing of analog circuits or digital circuits to the testing of MEMS (Micro-Electromechanical Systems). Microfluidic chip, also known as Lab-on-a-chip, can complete various functions of biological laboratory and routine chemical testing on a chip of several square centimeters. It has the characteristics of miniaturization, high sensitivity, low cost, and integration. The first generation of microfluidic biochips has permanently etched microvalves, micropumps, and microchannels, and the specific operations are based on continuous fluid flow. The development of microfluidic technology and manufacturing process has p...
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