Design And Implementation Of High Precision Intelligent Microscope System

With people’s attention to medical treatment and life and health,intelligent medicine has gradually changed from concept to comprehensive application,and the auxiliary diagnosis method of the combination of medicine and industry has gradually entered people’s field of vision.In medical clinical examination,microscopic examination is the most commonly used method,which is used in fecal detection,blood routine detection and leucorrhea routine detection.Testers can provide important reference information for final diagnosis by examining the type and number of cells,microorganisms or other typed components in the target under a microscope.Nowadays,most small and medium-sized hospitals in China still use traditional microscope detection in clinical examination,and then deal with it manually,the whole process is time-consuming and laborious.According to statistics,the number of laboratory doctors needed in 2018 is about 140000,but less than 80,000 qualified,there is a huge gap.And the traditional manual detection can only observe a small part of the area at a time,the testers often need to go through repeated operations to judge the samples,and the testers work under the microscope for a long time,fatigue and misjudgment occur from time to time,it is inevitable that some misjudgments will occur.In this paper,through the structural transformation of the traditional optical microscope and combined with the digital image processing technology,the detection process of the artificial microscope is simplified,which can improve the detection accuracy and reduce the work pressure of the medical staff to a certain extent.and then alleviate the current shortage of medical resources.As follows: First of all,without changing the working principle of the traditional optical microscope,the stepping motor,spiral screw,grating ruler and other hardware equipment are introduced to realize the automatic work flow of the microscope.After that,the camera is controlled by the software to collect the pictures,and the clarity of the collected pictures is analyzed,and the clearest picture is obtained through the autofocus algorithm based on SVM.Then,the position of the slide is adjusted by the stepper motor driven by software,and the multi-position target image is taken at the same time,combined with the automatic stitching method of multi-field image based on incremental search.several sample cell images are stitched into a large field image.Finally,the above experimental methods are applied to the microscopic images of feces,urine and leucorrhea,and the final experimental results are compared and summarized.The microscope reconstruction method with raster ruler proposed in this paper greatly improves the accuracy of the z-axis of the microscope objective lens in the process of autofocus,and the multi-field image automatic stitching method based on incremental search,compared with the traditional image stitching method,it has a great improvement in image edge matching rate and stitching speed,and has good practical value and application prospect.