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

相干反斯托克斯拉曼光谱（CARS）技术的发展在过去二十年中得到了极大的发展，研究方向是更快、更敏感的数据采集、简化的实验要求和强大的计算/光学方法，以消除与CARS相关的非谐振背景（NRB）。在KCL的David Richards小组进行的研究之后，该项目旨在进一步扩展该小组开发并获得专利的宽带CARS技术，光谱干涉偏振CARS （SIPCARS）的能力，以及宽带CARS的一般工作。实现这一目标主要有两个方面；高光谱CARS数据的实验研究与数据分析。实验链将包括SIPCARS系统的发展和复杂生物样品的使用，以表征和证明SIPCARS作为获得生物标本快速准确光谱数据的手段的有效性和实用性。数据分析链将主要集中于分析从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。从本质上讲，该研究项目的目的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，能够测量和分析复杂生物样品的高光谱拉曼数据，具有快速的采集率和高水平的准确性。

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.