相干拉曼散射成像与先进计算工具的结合。
The marriage of coherent Raman scattering imaging and advanced computational tools.
作者信息
Peterson Walker, Hiramatsu Kotaro, Goda Keisuke
机构信息
Department of Chemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
Research Center for Spectrochemistry, The University of Tokyo, Tokyo, 113-0033, Japan.
出版信息
Light Sci Appl. 2023 May 9;12(1):113. doi: 10.1038/s41377-023-01160-z.
Coherent Raman scattering microscopy can provide high-contrast tissue and single-cell images based on the inherent molecular vibrations of the sample. However, conventional techniques face a three-way trade-off between Raman spectral bandwidth, imaging speed, and image fidelity. Although currently challenging to address via optical design, this trade-off can be overcome via emerging computational tools such as compressive sensing and machine learning.
相干拉曼散射显微镜可以基于样品固有的分子振动提供高对比度的组织和单细胞图像。然而，传统技术在拉曼光谱带宽、成像速度和图像保真度之间面临着三难抉择。尽管目前通过光学设计来解决这一问题具有挑战性，但可以通过诸如压缩感知和机器学习等新兴计算工具来克服这种权衡。
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