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无透镜数字全息成像观测实验系统的研制

发布时间:2019-04-19 01:05
【摘要】:数字全息技术是当今科研领域研究的一个热门方向。无透镜数字全息是对传统的数字全息成像的一个改进,它在简化光路的同时保证了全息图的效果。特别是在细胞观测、微流控等领域具有很高的实用价值。当前对无透镜数字全息成像的研究较少,少数的无透镜数字全息成像实验研究虽然能得到较好的成像效果,但对与成像效果至关重要的条件(如光源颜色、波长、光源到光电传感器距离等)缺乏规律性的总结,给应用带来了不便。此外,市面上也还没有将数字全息重建与图像处理相结合的软件,可以实现如全息图的重建、再现像的特征提取、测量、分割等对于细胞观测比较重要的功能。现有方法对图像的处理往往通过Matlab来进行,效率低、操作步骤不够直观,且难以实现商业化。基于此,本文搭建了无透镜数字全息成像的硬件装置,利用Visual C++开发了相应的图像处理软件,最终形成一个完整的无透镜数字全息观测实验系统,并对无透镜数字全息成像的成像条件进行了探索。本文完成的工作内容包括以下三个方面:①对数字全息重建算法进行了深入研究,并选择卷积重建算法作为全息图的重建算法,在验证了该算法的准确性之后,采用Visual C++开发了一套无透镜数字全息采集与处理系统,实现了数字全息图的采集、重建和图像的滤波、变换分割、形态学处理等功能。同时本系统可移值、可扩展,并且操作简便、界面美观。②设计并搭建了实验装置平台,通过步机电机和传感器与无透镜数字全息采集与处理软件结合,实现软件与硬件相结合来控制实验条件的功能,主要完成了光源到CMOS距离和光源开关的软件控制、成像条件的软件记录等。③基于整个实验装置和软件系统,设计了最佳成像条件探索、乳腺癌细胞和人血红细胞观测这三个不同的实验来进行系统的可行性验证。实验结果表明:波长为465?470 nm、亮度为8000?10000 nit、角度为20度的粉红光,光源到CMOS距离为5.5?7.5 cm范围时,采集到的全息图效果最好。通过无透镜数字全息采集与处理软件,成功采集并重建了乳腺癌细胞和人血红细胞,细胞的位置与轮廓清楚。在此软件上对细胞进行测量和计数结果显示,其大小和细胞的实际大小相近,而计数结果也和显微镜下相差不大,验证了整个系统的可行性及合理性。
[Abstract]:Digital holography is a hot research direction in the field of scientific research. Lens-free digital holography is an improvement of traditional digital holography, which not only simplifies the optical path but also guarantees the effect of hologram. Especially in cell observation, microfluidic and other fields have high practical value. At present, there are few researches on lensless digital holography. Although a few experimental researches on lensless digital holography can get better imaging results, they are very important to the imaging effect (such as light source color, wavelength, etc.) The distance from light source to photoelectric sensor is lack of regular summary, which brings inconvenience to application. In addition, there is no software to combine digital holography reconstruction with image processing on the market, which can realize the important functions of cell observation such as hologram reconstruction, feature extraction, measurement, segmentation and so on. The existing methods for image processing are often carried out through Matlab, which is inefficient, the operation steps are not intuitive enough, and it is difficult to commercialize the image. Based on this, the hardware device of lensless digital holography is built, and the corresponding image processing software is developed by using Visual C, and finally a complete experimental system of lensless digital holography is formed. The imaging conditions of lensless digital holography are explored. The main contents of this paper are as follows: 1. The digital holography reconstruction algorithm is studied deeply, and convolution reconstruction algorithm is chosen as the reconstruction algorithm of hologram. After validating the accuracy of this algorithm, A set of lensless digital holography acquisition and processing system is developed with Visual C. the functions of digital hologram collection, reconstruction, image filtering, transform segmentation, morphological processing and so on are realized. At the same time, the system can be moved, expandable, easy to operate, and the interface is beautiful. 2 the experimental device platform is designed and built, which is combined with lensless digital holography acquisition and processing software by stepping motor, sensor and lensless digital holography. The function of combining software and hardware to control the experimental conditions is realized, including the software control of the distance from the light source to the CMOS and the switch of the light source, the software recording of the imaging conditions, etc. 3Based on the whole experimental device and software system, The optimal imaging conditions, breast cancer cells and human red blood cells were designed to verify the feasibility of the system. The experimental results show that when the wavelength is 465? 470 nm, and the luminance is 8 000? 10 000 nit, the angle is 20?, and the distance from the light source to the CMOS is 5.5? 7.5 cm, the result of the hologram is the best. Through lens-free digital holography acquisition and processing software, breast cancer cells and human red blood cells were successfully collected and reconstructed. The location and outline of the cells were clear. The results of measuring and counting the cells on this software show that the size of the cells is similar to the actual size of the cells, and the counting results are not much different from those under the microscope, which verifies the feasibility and rationality of the whole system.
【学位授予单位】:重庆大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TN26

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本文编号:2460459


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