Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, California 92093, USA.
Nanoscale. 2017 Nov 30;9(46):18268-18274. doi: 10.1039/c7nr05436j.
We present a new far-field super-resolution imaging approach called compressive spatial to spectral transformation microscopy (CSSTM). The transformation encodes the high-resolution spatial information to a spectrum through illuminating sub-diffraction-limited and wavelength-dependent patterns onto an object. The object is reconstructed from scattering spectrum measurements in the far field. The resolution of the CSSTM is mainly determined by the materials used to perform the spatial to spectral transformation. As an example, we numerically demonstrate sub-15 nm resolution by using a practically achievable Ag/SiO multilayer hyperbolic metamaterial.
我们提出了一种新的远场超分辨率成像方法，称为压缩空间到光谱变换显微镜（CSSTM）。该变换通过将亚衍射极限和波长相关的图案照射到物体上来将高分辨率空间信息编码到光谱中。通过在远场中测量散射光谱来重建物体。CSSTM 的分辨率主要取决于执行空间到光谱变换的材料。例如，我们通过使用实际可实现的 Ag/SiO 多层双曲超材料数值证明了亚 15nm 的分辨率。
