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A Neural Network-Based Automatic Focusing Method for Droplet PCR Instrument

A neural network and autofocus technology, applied in the field of microscopic vision, which can solve problems such as no recognized best method

Active Publication Date: 2019-10-11
SOUTHWEST UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although dozens of autofocus evaluation functions have been proposed so far, there is no recognized best method

Method used

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  • A Neural Network-Based Automatic Focusing Method for Droplet PCR Instrument
  • A Neural Network-Based Automatic Focusing Method for Droplet PCR Instrument
  • A Neural Network-Based Automatic Focusing Method for Droplet PCR Instrument

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0116] The present invention is based on the automatic focusing method of the droplet type PCR instrument of neural network, and concrete steps comprise:

[0117] (1) Focus module design

[0118] Focus on physical structure design such as figure 1 As shown, the illumination source is at one end, and the light emitted passes through the biochip (transparent), and then enters the camera through the objective lens. The objective lens plays the role of focusing, and its position is controlled by the automatic three-dimensional platform.

[0119] Control structures such as figure 2 As shown, the interface of the camera is connected to the computer to provide real-time image data for the computer to calculate the focus evaluation value; the automatic 3D platform is controlled by the stm32 development board, connected to the computer through the serial port, and the computer sends and receives data through the serial port for control 3D platform movement.

[0120] (2) Formulate f...

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Abstract

The invention relates to a neural network-based automatic focusing method for droplet type PCR instrument, which includes: (1) focusing module design, that is, the lighting source is at one end, and the light emitted by it passes through the biological chip and then enters the camera through the objective lens, and the objective lens starts To focus, the position of the objective lens is controlled by the automatic three-dimensional platform; (2) The focus strategy is drawn up, that is, by measuring the focus position in advance, and training through the BP neural network to obtain a stable mapping, and then in the process of focusing, after measuring several positions Determine the type of function it belongs to, and obtain the pre-measured focus position; (3) focus function selection, that is, use the contourlet in the superwavelet as the image focus evaluation processing function, and its measured value is used as the input of the neural network; (4) image Detection area selection. The invention can quickly and accurately give the position of the focal point, and improves the accuracy and focusing speed of the detection system of the PCR instrument.

Description

technical field [0001] The invention relates to the field of microscopic vision technology, in particular to a neural network-based automatic focusing method for a droplet PCR instrument. Background technique [0002] Microscopic vision is widely used in medicine, IC manufacturing, bioengineering, MEMS assembly and other fields. It has the characteristics of small field of view and short depth of field. Microvision requires focusing to obtain a clear image. Autofocus technology is the core function of the automatic control microscopic vision system and the basis for high-precision measurement of microscopic vision. Accurate and fast focusing is the key to autofocus technology. [0003] The droplet digital PCR system is to perform droplet treatment on the sample before the traditional PCR amplification, that is, the reaction system containing nucleic acid molecules is divided into tens of thousands of nanoliter droplets, each of which does not contain the nucleic acid target...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G02B7/28G06T7/00G06N3/04G06N3/08
CPCG02B7/28G06N3/084G06T7/0002G06T2207/30168G06T2207/20084G06T2207/20081G06T2207/10056G06N3/045
Inventor 郑方园陈善雄吴本涛郝英杰杨芒李常军武技桥
Owner SOUTHWEST UNIV
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