Study On Automatic Control Technology Of Dual-trap Optical Tweezers System

Using the feature of the radiation pressure produced by the highly converged laser beam to capture beads and cells,and apply acting force with the range of piconewtons to the trapped object,and combining with the methods of back focal plane,optical tweezers have the ability to measure the piconewtons force.In the field of life science,optical tweezers technology has become an important sophisticated tool to research the internal forces of biological single-molecule by its high precision,non-invasive and non-contact characteristics.However,the force spectrum test based on the optical tweezers is still mainly based on manual operation,the beads capture and force spectrum experiments have long repeated trial,and the measurement efficiency is very low,which affects the researcher’s energy seriously,and restricted the popularity of optical technology to a certain degree.This paper proposes an image intelligent recognition scheme based on Deep Learning and PC control system,and improved the efficiency of the experiment significantly,and also freed the researchers from the tedious test.The main works and achievement in this paper are list below.1.This paper expounds the basic theory of optical tweezers technology,introduces the application of optical tweezers in single-molecule force spectroscopy,and analyzes the reasons for the inefficiency of traditional dual-trap optical tweezers in manual operation.Then,completed the software and hardware design of dual-trap optical tweezers automatic control system,and the communication logic of multidevice control and multi-channel data acquisition is integrated into the LabVIEW platform,then the multi-task PC control software integrated by the module is developed to realize the automatic operation of the optical tweezers control and the force spectroscopy test.2.The search path for capturing beads is designed.Introduce,construct and train the convolutional neural network,then use the convolutional neural network to identify the captured beads,and do the next logical operation according to the recognition results.Finally,the key parameters of the optical system is auto-calibrated,and the model for automated optical tweezers in single-molecule force spectroscopy is constructed,and a specific algorithm implementation is proposed.3.The system performance is verified by experiment.Firstly,the system’s data acquisition and power spectrum analysis is tested,and then the performance of automatic capture of beads and singularity recognition is analyzed.Finally,the automatic function of single-molecule force spectroscopy is verified.