高光谱成像
拉曼光谱
贝塞尔光束
显微镜
光学
化学成像
显微镜
材料科学
不透明度
分光计
梁(结构)
物理
计算机科学
人工智能
作者
Ellyse Taylor,Keith A. Lidke,Sandeep Pallikkuth,Sheng Liu
标识
DOI:10.1016/j.bpj.2022.11.870
摘要
Carbohydrate metabolism within the photosynthetic processes of plants plays a major role in plant performance. Current techniques for live imaging the structural characteristics of plants are often destructive or lack spatially explicit information. Raman spectroscopy is a nondestructive, label-free imaging technique which, in combination with Bessel beam light sheet microscopy, offers a way to rapidly measure the abundance and flux of molecules as they travel through the three dimensions of living plants. Here we describe the development of a Hyperspectral Raman Light Sheet Microscope as an alternative to traditional confocal point-scanning imaging systems. We cover our methods for creating a self-reconstructing Bessel beam to excite scattering in the sample, as well as modifications made to the conventional slit-spectrometer setup for capturing low intensity Raman scattered infrared light. We demonstrate the system with various test samples including Fluorinated Ethylene Propylene and Acetaminophen, and then discuss future applications in biological materials.
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