Fast compressive Raman bio-imaging via matrix completion
Fast compressive Raman bio-imaging via matrix completion
复制标题
DOI：
10.1364/optica.6.000341
复制
发表时间：
2019-03-20
期刊：
影响因子：
10.4
通讯作者：
de Aguiar, Hilton B.
中科院分区：
文献类型：
--
作者：
Soldevila, Fernando;Dong, Jonathan;de Aguiar, Hilton B.
拉曼显微镜是一种将非侵入性与无需特殊样品制备相结合的强大方法。由于这种显着的简单性，它已被广泛应用于从生命和材料科学到工程的许多领域。众所周知，由于生物成像所需的成像速度，如何使用该技术进行动态和大规模成像仍然是一个挑战。最近，提出了一种有监督的压缩拉曼框架，可以实现快速成像，从而缓解了速度问题。然而，由于需要形成高光谱的物种的强大先验信息，如何将这种监督方法应用于（动态）生物组织的显微光谱学仍然难以捉摸。将原始光谱欠采样测量技术与用于重建的矩阵完成框架相结合，我们展示了生物样本（脑组织和单细胞）的快速且廉价的无标记分子成像。使用监督方法的矩阵完成结果可实现大压缩 (64 x) 和超过自发拉曼显微光谱中当前技术的生物成像速度。因此，我们的结果为使用更快的压缩拉曼框架的临床和细胞生物学应用开辟了有趣的前景。 (C) 2019 年美国光学学会根据 OSA 开放获取出版协议条款
Raman microscopy is a powerful method combining non-invasiveness with no special sample preparation. Because of this remarkable simplicity, it has been widely exploited in many fields, ranging from life and materials sciences to engineering. Notoriously, due to the required imaging speeds for bio-imaging, it has remained a challenge how to use this technique for dynamic and large-scale imaging. Recently, a supervised compressive Raman framework has been put forward, allowing for fast imaging, therefore alleviating the issue of speed. Yet, due to the need for strong a priori information of the species forming the hyperspectrum, it has remained elusive how to apply this supervised method for microspectroscopy of (dynamic) biological tissues. Combining an original spectral under-sampling measurement technique with a matrix completion framework for reconstruction, we demonstrate fast and inexpensive label-free molecular imaging of biological specimens (brain tissues and single cells). Using the matrix completion outcome with the supervised method allows for large compressions (64 x) and bio-imaging speeds surpassing current technology in spontaneous Raman microspectroscopy. Therefore, our results open interesting perspectives for clinical and cell biology applications using the much faster compressive Raman framework. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement