Greenbaum Alon, Feizi Alborz, Akbari Najva, Ozcan Aydogan
Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA.
Opt Express. 2013 May 20;21(10):12469-83. doi: 10.1364/OE.21.012469.
Lens-free holographic on-chip imaging is an emerging approach that offers both wide field-of-view (FOV) and high spatial resolution in a cost-effective and compact design using source shifting based pixel super-resolution. However, color imaging has remained relatively immature for lens-free on-chip imaging, since a 'rainbow' like color artifact appears in reconstructed holographic images. To provide a solution for pixel super-resolved color imaging on a chip, here we introduce and compare the performances of two computational methods based on (1) YUV color space averaging, and (2) Dijkstra's shortest path, both of which eliminate color artifacts in reconstructed images, without compromising the spatial resolution or the wide FOV of lens-free on-chip microscopes. To demonstrate the potential of this lens-free color microscope we imaged stained Papanicolaou (Pap) smears over a wide FOV of ~14 mm(2) with sub-micron spatial resolution.
无透镜全息片上成像技术是一种新兴的成像方法，它通过基于源移位的像素超分辨率技术，以经济高效且紧凑的设计实现了宽视场（FOV）和高空间分辨率。然而，无透镜片上成像的彩色成像技术仍相对不成熟，因为在重建的全息图像中会出现类似“彩虹”的颜色伪影。为了为片上像素超分辨彩色成像提供解决方案，我们在此介绍并比较两种计算方法的性能，这两种方法分别基于：（1）YUV颜色空间平均法，以及（2）迪杰斯特拉最短路径法，它们都能消除重建图像中的颜色伪影，同时不影响无透镜片上显微镜的空间分辨率或宽视场。为了展示这种无透镜彩色显微镜的潜力，我们对巴氏涂片进行了成像，视场宽约14平方毫米，空间分辨率达到亚微米级。
