Confocal Raman microscopy is important for characterizing two dimensional (2D) materials, but its low throughput significantly hinders its applications. For metastable materials such as graphene oxide (GO), the low throughput is aggravated by the requirement of extremely low laser dose to avoid sample damage. Here we introduce algorithm-improved Confocal Raman Microscopy (ai-CRM), which increases the Raman scanning rate by one to two orders of magnitude with respect to state-of-the-art works for a variety of 2D materials. Meanwhile, GO can be imaged at a laser dose that is 2 to 3 orders of magnitude lower than previously reported, such that laser-induced variations of the material properties can be avoided. ai-CRM also enables fast and spatially resolved quantitative analysis, and is readily extended to three-dimensional mapping of composite materials. Since ai-CRM is based on general mathematical principles, it is cost-effective, facile-to-implement and universally applicable to other hyperspectral imaging methods.

中文翻译：

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算法改进的二维材料高速无创共焦拉曼成像

共焦拉曼显微镜对于表征二维 (2D) 材料很重要，但其低通量显着阻碍了其应用。对于氧化石墨烯 (GO) 等亚稳态材料，由于需要极低的激光剂量以避免样品损坏，因此低通量会加剧。在这里，我们介绍了算法改进的共聚焦拉曼显微镜 (ai-CRM)，相对于各种 2D 材料的最新作品，它可以将拉曼扫描速率提高一到两个数量级。同时，GO 可以在比之前报道的低 2 到 3 个数量级的激光剂量下成像，从而可以避免激光引起的材料特性变化。ai-CRM 还可以实现快速和空间解析的定量分析，并且很容易扩展到复合材料的三维映射。由于 ai-CRM 基于一般数学原理，因此具有成本效益、易于实施且普遍适用于其他高光谱成像方法。