高光谱成像
光学
色差
显微镜
色阶
相位恢复
材料科学
显微镜
生物分子
紫外线
光谱成像
计算机科学
物理
傅里叶变换
纳米技术
人工智能
量子力学
作者
Nischita Kaza,Ashkan Ojaghi,Francisco E. Robles
出处
期刊:Optics Letters
[The Optical Society]
日期:2020-05-06
卷期号:45 (10): 2708-2708
被引量:10
摘要
Ultraviolet (UV) microscopy has recently re-emerged as an important label-free, molecular imaging technique. This stems from the unique UV absorption properties of many endogenous biomolecules that play a critical role in cell structure and function. However, broadband hyperspectral imaging in this spectral region is challenging due to strong chromatic aberrations inherent in UV systems. Here we apply an intensity-based, two-stage, iterative phase-recovery algorithm that leverages the same chromatic aberrations to overcome this challenge. Importantly, knowledge of samples’ dispersion or absorption properties is not required. We demonstrate that the computationally retrieved phase can be applied to digitally refocus images across a large bandwidth. This enables hyperspectral UV imaging with a simple microscope for quantitative molecular analysis. We validate this method through simulations and through experiments with red blood cells.
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