Broadband Spectral Interferometric Polarized Coherent anti-Stokes Raman Scattering - a non-linear approach to fast all-optical chemical fingerprinting

在过去的二十年里，相干反斯托克斯拉曼光谱(CARS)技术的发展有了很大的发展，研究的目标是更快、更灵敏的数据采集、简化的实验要求和强大的计算/光学方法来消除与CARS相关的非共振背景(NRB)。在David Richards团队在KCL进行的研究之后，该项目旨在进一步扩展该集团开发和申请专利的宽带CARS技术--光谱干涉偏振汽车(SIPCARS)--的能力，以及宽带汽车的总体工作。要实现这一目标，主要有两个方面：高光谱CARS数据的实验研究和数据分析。实验部分将包括SIPCARS系统的发展和使用复杂生物样本来表征和展示SIPCARS作为获得快速和准确的生物样本光谱数据的手段的有效性和有用性。数据分析部分将主要侧重于分析从SIPCARS测量中获得的高光谱数据。通常，高光谱数据的分析是使用聚类技术进行的。基本上，研究方案中这一部分的目的将是提供从生物高光谱数据中提取信息的工具，从而创建一个全面的系统，能够以快速采集速度和高精度测量和分析复杂生物样本的高光谱拉曼数据。

Development in coherent anti-Stokes Raman spectroscopy (CARS) techniques has expanded greatly in the past two decades with research geared towards faster and more sensitive data acquisition, simplified experimental requirements and robust computational/optical methods to remove the associated non-resonant background (NRB) with CARS. Following on from research conducted by David Richards' group at KCL, this project aims to further expand the capabilities of the broadband CARS technique developed and patented by the group, spectral interferometric polarized CARS (SIPCARS), as well as work on broadband CARS in general. There are two main strands as to which this will be achieved; experimental studies and data analysis of hyperspectral CARS data.The experimental strand will encompass both developments to the SIPCARS system and the usage of complex biological samples to characterise and demonstrate the validity and usefulness of SIPCARS as a means for obtaining rapid and accurate spectral data of biological specimen. The data analysis strand will primarily focus on analysing hyperspectral data obtained from SIPCARS measurements. Typically, analysis of hyperspectral data is carried out using clustering techniques. Essentially, the purpose of this strand in the research programme will be to provide tools to extract information from biological hyperspectral data, thus creating a fully comprehensive system capable of measuring and analysing hyperspectral Raman data of complex biological samples with rapid acquisition rates and a high level of accuracy.