Recently, compressive sensing has been introduced to confocal Raman imaging to accelerate data acquisition. In particular, unsupervised compressive imaging methods do not require a priori knowledge of an object’s spectral signatures, and they are thus applicable to unknown or dynamically changing systems. However, the current methods based on either spatial or spectral undersampling struggle between spatial and spectral fidelities at high compression ratios. By exciting a sample with an array of focused laser beams and randomly interleaving the projection locations of the scattering, we simultaneously demonstrate a single-acquisition confocal Raman hyperspectral imaging with a high fidelity and resolution in spatial and spectral domains, at a compression ratio of 40–50. The proposed method is also demonstrated with suppressed noise and a smooth transition at the boundaries.

中文翻译：

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通过随机交错散射投影的压缩高光谱拉曼成像

最近，压缩传感已被引入共焦拉曼成像以加速数据采集。特别是，无监督的压缩成像方法不需要先验物体光谱特征的知识，因此它们适用于未知或动态变化的系统。然而，当前基于空间或频谱欠采样的方法在高压缩比下在空间和频谱保真度之间挣扎。通过用一系列聚焦激光束激发样品并随机交错散射的投影位置，我们同时展示了在空间和光谱域中具有高保真度和分辨率的单次采集共焦拉曼高光谱成像，压缩比为 40 –50。还通过抑制噪声和边界处的平滑过渡来证明所提出的方法。