Chen Chuangchuang, Gu Honggang, Liu Shiyuan
State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
Optics Valley Laboratory, Wuhan, Hubei, 430074, China.
Light Sci Appl. 2024 Aug 26;13(1):213. doi: 10.1038/s41377-024-01581-4.
Strict requirement of a coherent spectrum in coherent diffractive imaging (CDI) architectures poses a significant obstacle to achieving efficient photon utilization across the full spectrum. To date, nearly all broadband computational imaging experiments have relied on accurate spectroscopic measurements, as broad spectra are incompatible with conventional CDI systems. This paper presents an advanced approach to broaden the scope of CDI to ultra-broadband illumination with unknown probe spectrum, effectively addresses the key challenges encountered by existing state-of-the-art broadband diffractive imaging frameworks. This advancement eliminates the necessity for prior knowledge of probe spectrum and relaxes constraints on non-dispersive samples, resulting in a significant extension in spectral bandwidth, achieving a nearly fourfold improvement in bandlimit compared to the existing benchmark. Our method not only monochromatizes a broadband diffraction pattern from unknown illumination spectrum, but also determines the compressive sampled profile of spectrum of the diffracted radiation. This superiority is experimentally validated using both CDI and ptychography techniques on an ultra-broadband supercontinuum with relative bandwidth exceeding 40%, revealing a significantly enhanced coherence and improved reconstruction with high fidelity under ultra-broadband illumination.
相干衍射成像(CDI)架构中对相干光谱的严格要求,成为在整个光谱范围内实现高效光子利用的重大障碍。迄今为止,几乎所有宽带计算成像实验都依赖于精确的光谱测量,因为宽光谱与传统CDI系统不兼容。本文提出了一种先进方法,将CDI的范围扩展到具有未知探测光谱的超宽带照明,有效解决了现有最先进宽带衍射成像框架所面临的关键挑战。这一进展消除了对探测光谱先验知识的需求,并放宽了对非色散样品的限制,从而显著扩展了光谱带宽,与现有基准相比,带宽极限提高了近四倍。我们的方法不仅能对来自未知照明光谱的宽带衍射图案进行单色化处理,还能确定衍射辐射光谱的压缩采样轮廓。利用CDI和叠层成像技术在相对带宽超过40%的超宽带超连续谱上进行实验验证,结果表明在超宽带照明下,相干性显著增强,重建具有高保真度且得到了明显改善。