Department of Electrical and Computer Engineering, Boston University, 8 St. Mary's Street, Boston, Massachusetts 02215, United States.
Department of Chemistry, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, United States.
Anal Chem. 2021 Nov 30;93(47):15703-15711. doi: 10.1021/acs.analchem.1c03604. Epub 2021 Nov 17.
Spectroscopic stimulated Raman scattering (SRS) imaging has become a useful tool finding a broad range of applications. Yet, wider adoption is hindered by the bulky and environmentally sensitive solid-state optical parametric oscillator (OPO) in a current SRS microscope. Moreover, chemically informative multiwindow SRS imaging across C-H, C-D, and fingerprint Raman regions is challenging due to the slow wavelength tuning speed of the solid-state OPO. In this work, we present a multiwindow SRS imaging system based on a compact and robust fiber laser with rapid and wide tuning capability. To address the relative intensity noise intrinsic to a fiber laser, we implemented autobalanced detection, which enhances the signal-to-noise ratio of stimulated Raman loss imaging by 23 times. We demonstrate high-quality SRS metabolic imaging of fungi, cancer cells, and across the C-H, C-D, and fingerprint Raman windows. Our results showcase the potential of the compact multiwindow SRS system for a broad range of applications.
光谱受激拉曼散射(SRS)成像已成为一种广泛应用的有用工具。然而,当前 SRS 显微镜中庞大且对环境敏感的固态光学参量振荡器(OPO)阻碍了其更广泛的应用。此外,由于固态 OPO 的波长调谐速度较慢,实现 C-H、C-D 和指纹拉曼区域的具有化学信息量的多窗口 SRS 成像是具有挑战性的。在这项工作中,我们提出了一种基于具有快速和宽调谐能力的紧凑且坚固的光纤激光器的多窗口 SRS 成像系统。为了解决光纤激光器固有的相对强度噪声问题,我们实现了自动平衡检测,这将受激拉曼损耗成像的信噪比提高了 23 倍。我们展示了真菌、癌细胞和 across the C-H、C-D 和指纹 Raman 窗口的高质量 SRS 代谢成像。我们的结果展示了紧凑型多窗口 SRS 系统在广泛应用中的潜力。