| Immunoblotting is an important technical tool in life science research,but it is cumbersome and time-consuming.A fully automated chemiluminescence imager was designed for the two steps of chemiluminescence color development and image analysis during the experimental process,and key technologies for automated color development and image analysis of multiple imprinted films were studied.Analyze the application scenarios of chemiluminescence immunoblotting,select the backlight source imaging structure,and determine the size of the sample stage imaging area as 21×16.8 cm~2,working distance 30 cm.Select the Retiga R6 cooling camera model,with a dual Gaussian lens as the initial structure,and use Zemax for simulation optimization.Design F1.4 and 2ω48°wide field of view lens and tolerance analysis using Monte Carlo method.Starting from the radiation theory of light sources,a model of array light source layout was established.Use MATLAB software to analyze the maximum flat area conditions of the array light source model,and use Trace Pro software to analyze the uniformity of the light beads on the working surface at different working distances,ultimately obtaining the array light source parameters with an illumination uniformity of 95.795%in the working area.Based on the theory of fluid mechanics,an integrated liquid flow control system for sample mixing,sample spraying and sample washing was designed.According to the functional requirements,the selection of liquid circuit and circuit components was completed,and the onboard hardware resources of the lower computer STM32 were allocated.The MOS transistor control 24V switch circuit,liquid circuit module serial communication circuit,microcontroller minimum circuit,and power circuit were designed and manufactured.The corresponding circuit board was also designed and manufactured.A multi region path planning method was proposed,which reduced the total length of the path to 20%of the total length from left to right,and reduced the length to 0.135～0.284 of the total length of the loop path,effectively improving the sampling efficiency.This article conducts tests on the spray angle,effective spray width,path spacing,and spray uniformity of the spray system,and the results show that the system has a high spray uniformity.We designed a human-computer interaction software for the producer consumer mode on the upper computer,proposed a multi region image processing method,and used OTSU algorithm and morphological operation to obtain the sample area for the first imaging image processing.We processed the second imaging image through multiple steps such as image cropping,image enhancement,image correction,vertical projection,wavelet transform,and local maximum,achieving multi region swimlane division and automatic strip recognition,And through gradient experiments,it is proven that this algorithm preserves weak lane boundary feature information.The experimental results show that the multi region image processing method proposed in this paper can effectively solve the problem of boundary interference in imprint film watermarks,and can effectively eliminate interference peaks caused by uneven areas in lane boundary division.The path planning algorithm proposed in this article reduces path length and improves the efficiency of multi sample sampling.Therefore,the opto electromechanical integrated system designed in this article can be used to solve the automation problem of immunoblotting color rendering and imaging in application scenarios where multiple sheets,different sizes,and imprint films are randomly placed. |
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