论文标题
图像降解的几何解通过无透镜感测和显微镜中的衍射溶液
Geometric Solution of Image Degradation by Diffraction in Lensless Sensing and Microscopy
论文作者
论文摘要
本文提出了一种非计算方法，以抵消衍射现象在无镜头显微镜中引入的图像降解的效果。所有光学图像（无论是否以镜头为单位）都是衍射模式，它将视觉信息保留到一定程度上由点扩散功能的大小确定，例如在某些情况下像通风磁盘一样。可以利用高度分歧的光束来减少这些点扩散功能在变换的投影空间中的空间范围，这可以帮助我们进行视觉信息的空间不混合。该原理已通过直径〜6-9微米的红细胞和具有千分尺尺度特征的光刻蒙版的无透镜成像进行了实验验证。提出的非计算性阴影显微镜方法的重要优势是改进的景深和传感器的急剧增加到样品工作距离。成像方法也可以用作多角度光学计算机断层扫描（CT）的投影技术。
This paper proposes a non-computational method of counteracting the effect of image degradation introduced by the diffraction phenomenon in lensless microscopy. All the optical images (whether focused by lenses or not) are diffraction patterns, which preserve the visual information upto a certain extent determined by the size of the point spread functions, like airy disks in some cases. A highly diverging beam can be exploited to reduce the spatial extent of these point spread functions relatively in the transformed projective space, which can help us in the spatial unmixing of the visual information. The principle has been experimentally validated by the lensless imaging of red blood cells of diameter ~6-9 micrometers and a photolithography mask with features in micrometer scale. The important advantages of the proposed approach of non-computational shadow microscopy are the improved depth of field and a drastic increase in the sensor to sample working distance. The imaging method can also be used as a projection technique in the multi-angle optical computed tomography (CT).
