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Dynamic Sparse Sampling for Confocal Raman Microscopy.
Analytical Chemistry ( IF 6.7 ) Pub Date : 2018-03-09 00:00:00 , DOI: 10.1021/acs.analchem.7b04749 Shijie Zhang 1 , Zhengtian Song 1 , G M Dilshan P Godaliyadda 2 , Dong Hye Ye 2 , Azhad U Chowdhury 1 , Atanu Sengupta 3 , Gregery T Buzzard 4 , Charles A Bouman 2 , Garth J Simpson 1
Analytical Chemistry ( IF 6.7 ) Pub Date : 2018-03-09 00:00:00 , DOI: 10.1021/acs.analchem.7b04749 Shijie Zhang 1 , Zhengtian Song 1 , G M Dilshan P Godaliyadda 2 , Dong Hye Ye 2 , Azhad U Chowdhury 1 , Atanu Sengupta 3 , Gregery T Buzzard 4 , Charles A Bouman 2 , Garth J Simpson 1
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The total number of data points required for image generation in Raman microscopy was greatly reduced using sparse sampling strategies, in which the preceding set of measurements informed the next most information-rich sampling location. Using this approach, chemical images of pharmaceutical materials were obtained with >99% accuracy from 15.8% sampling, representing an ∼6-fold reduction in measurement time relative to full field of view rastering with comparable image quality. This supervised learning approach to dynamic sampling (SLADS) has the distinct advantage of being directly compatible with standard confocal Raman instrumentation. Furthermore, SLADS is not limited to Raman imaging, potentially providing time-savings in image reconstruction whenever the single-pixel measurement time is the limiting factor in image generation.
中文翻译：
共焦拉曼显微镜的动态稀疏采样。
使用稀疏采样策略，拉曼显微镜中图像生成所需的数据点总数大大减少，其中前一组测量结果通知下一个信息最丰富的采样位置。使用这种方法，通过 15.8% 的采样获得了超过 99% 准确度的药物材料化学图像，相对于具有可比图像质量的全视场光栅，测量时间减少了约 6 倍。这种动态采样（SLADS）的监督学习方法具有与标准共焦拉曼仪器直接兼容的明显优势。此外，SLADS 不仅限于拉曼成像，只要单像素测量时间是图像生成的限制因素，SLADS 就可能节省图像重建的时间。
更新日期：2018-03-09
中文翻译：
共焦拉曼显微镜的动态稀疏采样。
使用稀疏采样策略，拉曼显微镜中图像生成所需的数据点总数大大减少，其中前一组测量结果通知下一个信息最丰富的采样位置。使用这种方法，通过 15.8% 的采样获得了超过 99% 准确度的药物材料化学图像，相对于具有可比图像质量的全视场光栅，测量时间减少了约 6 倍。这种动态采样（SLADS）的监督学习方法具有与标准共焦拉曼仪器直接兼容的明显优势。此外，SLADS 不仅限于拉曼成像，只要单像素测量时间是图像生成的限制因素，SLADS 就可能节省图像重建的时间。
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