Design And Research Of A Portable Large-field Lensless Cell Analysis Monitor

Modern optical microscopes combine high-performance optical components with digital image acquisition and processing capabilities to achieve sophisticated functions that go far beyond the perception of the human eye and visualize minute details of the sample to be measured,and are used in a wide range of fields such as disease diagnosis,medical research and materials science.In particular,modern optical microscopes play an essential role in the field of life sciences and biomedical sciences.However,current optical microscopes are becoming increasingly large,complex and expensive,and require staining to label biological samples such as cells.To address these problems,this paper develops a compact,portable,lensless cell analysis monitor with large field of view based on the technology of"lensless microscopic imaging",which realizes low-cost,large field of view,non-invasive quantitative three-dimensional imaging capabilities.The main points of innovation are as follows.(1)A prototype of lensless microscope system was developed by using lensless phase recovery technology based on multi-wavelength illumination,and non-invasive quantitative phase imaging of transparent samples was realized.The system does not contain any optical amplification elements and is only illuminated by a single LED light source.The image is collected by a CMOS camera,and then the image is restored and reconstructed by the software,which greatly reduces the system cost and compresses the system size.It is verified that the imaging resolution of the system is 1.55?m and the observation field is about29.67mm~2.Under the same resolution,the observation field is approximately 15 times that of the traditional microscope(4x objective,NA=0.16),allowing simultaneous observation of nearly 10,000Hela cells.In addition,thanks to the most simplified imaging system,the height of the system is only about 14cm,which can be directly built into the cell incubator to achieve long-term cell observation.(2)In addition to the basic imaging functions,the software developed for the lensless microscope prototype also integrates network transmission,cell segmentation,cell counting,cell growth tracing and profile measurement,allowing intelligent and automated analysis of the imaging results.Besides,in order to speed up the imaging speed,the software is based on CUDA for GPU acceleration,which greatly improves computing efficiency compared to using CPU alone for computation.(3)The traditional lensless phase recovery technique performs phase recovery by iteration,which is computationally expensive and time-consuming.In this paper,we investigate a single-frame lensless phase recovery technique based on deep learning,which can recover the phase information of the sample to be measured with only a single defocused image.In this paper,the prototype of the lensless microscopic imaging system is developed,including imaging algorithm,hardware driver and supporting software.The performance of the system was tested by measuring the phase resolution targets,spores of rice flax leaf spot,unstained Hela live cells,rootstock section of monocotyledons and dicotyledons,exploring new solutions for the development of miniaturized microscopy and its application in the field of point of care testing and living cell observation.