Pixel super-resolution using wavelength scanning.

Pixel super-resolution using wavelength scanning.
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DOI:
10.1038/lsa.2016.60
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发表时间:
2016-04
期刊:
Light, science & applications
影响因子:
--
通讯作者:
Ozcan A
Ozcan A
中科院分区:
其他
文献类型:
--
作者:
Luo W;Zhang Y;Feizi A;Göröcs Z;Ozcan A

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欠采样和像素化影响了许多成像系统,限制了获取的图像的分辨率,这对于广域显微镜应用变得特别重要。已经实施了各种超分辨率技术来通过利用成像系统中的子像素位移来减轻这种分辨率损失,例如通过移动照明源、传感器阵列和/或样本来实现,随后通过合并这些子像素移位的低分辨率图像来数字合成较小的有效像素。在这里,我们介绍了一种新的基于波长扫描的像素超分辨率方法,并证明了作为物理移位/位移的替代方案,波长分集可以用来提高广域成像系统的分辨率,并显著增加其空间带宽积。我们通过提高无透镜和基于透镜的显微镜系统的分辨率来证实这项新技术的有效性,并开发了一种迭代算法来使用在覆盖窄光谱(10-30 nm)的几个波长处记录的欠采样衍射图来生成高分辨率的样品重建。当与基于合成孔径的衍射成像技术相结合时,这种波长扫描超分辨率方法可以在大视场(>20 mm~2)范围内获得250 nm的半间距分辨率,对应的数值孔径为~1.0。我们还通过对包括血液和巴氏涂片在内的各种生物样本进行成像,证明了这种方法的有效性。与基于位移的超分辨率技术相比,波长扫描在传感器阵列的所有方向上带来了一致的分辨率提高,并且需要的测量显著减少。这项技术将使需要更大空间带宽产品的广域成像应用广泛受益。
Undersampling and pixelation affect a number of imaging systems, limiting the resolution of the acquired images, which becomes particularly significant for wide-field microscopy applications. Various super-resolution techniques have been implemented to mitigate this resolution loss by utilizing sub-pixel displacements in the imaging system, achieved, for example, by shifting the illumination source, the sensor array and/or the sample, followed by digital synthesis of a smaller effective pixel by merging these sub-pixel-shifted low-resolution images. Herein, we introduce a new pixel super-resolution method that is based on wavelength scanning and demonstrate that as an alternative to physical shifting/displacements, wavelength diversity can be used to boost the resolution of a wide-field imaging system and significantly increase its space-bandwidth product. We confirmed the effectiveness of this new technique by improving the resolution of lens-free as well as lens-based microscopy systems and developed an iterative algorithm to generate high-resolution reconstructions of a specimen using undersampled diffraction patterns recorded at a few wavelengths covering a narrow spectrum (10–30 nm). When combined with a synthetic-aperture-based diffraction imaging technique, this wavelength-scanning super-resolution approach can achieve a half-pitch resolution of 250 nm, corresponding to a numerical aperture of ~1.0, across a large field of view (>20 mm2). We also demonstrated the effectiveness of this approach by imaging various biological samples, including blood and Papanicolaou smears. Compared with displacement-based super-resolution techniques, wavelength scanning brings uniform resolution improvement in all directions across a sensor array and requires significantly fewer measurements. This technique would broadly benefit wide-field imaging applications that demand larger space-bandwidth products.
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