Song Lu, Feng Yuanhua, Guo Xiaojie, Shen Yuecheng, Wu Daixuan, Wu Zhenhua, Zhou Congran, Zhu Linyan, Gao Shecheng, Liu Weiping, Zhang Xuming, Li Zhaohui
Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China.
Department of Electronic Engineering, College of Information Science and Technology, Jinan University, Guangzhou 510632, China.
Biomed Opt Express. 2018 Nov 29;9(12):6556-6568. doi: 10.1364/BOE.9.006556. eCollection 2018 Dec 1.
Optical polarization imaging has played an important role in many biological and biomedical applications, as it provides a label-free and non-invasive detection scheme to reveal the polarization information of optical rotation, birefringence, and photoelasticity distribution inherent in biological samples. However, the imaging speeds of the previously demonstrated polarization imaging techniques were often limited by the slow frame rates of the arrayed imaging detectors, which usually run at frame rates of several hundred hertz. By combining the optical coherent detection of orthogonal polarizations and the optical time-stretch imaging technique, we achieved ultrafast polarization bio-imaging at an extremely fast record line scanning rate up to 100 MHz without averaging. We experimentally demonstrated the superior performance of our method by imaging three slices of different kinds of biological samples with the retrieved Jones matrix and polarization-sensitive information including birefringence and diattenuation. The proposed system in this paper may find potential applications for ultrafast polarization dynamics in living samples or some other advanced biomedical research.
光学偏振成像在许多生物学和生物医学应用中发挥了重要作用,因为它提供了一种无标记、非侵入性的检测方案,以揭示生物样品中固有的旋光性、双折射和光弹性分布的偏振信息。然而,先前展示的偏振成像技术的成像速度通常受到阵列成像探测器慢帧率的限制,这些探测器通常以几百赫兹的帧率运行。通过结合正交偏振的光学相干检测和光学时间拉伸成像技术,我们实现了高达100MHz的极快记录线扫描速率下的超快速偏振生物成像,无需平均。我们通过对三种不同类型的生物样品切片进行成像,利用检索到的琼斯矩阵和包括双折射和二向色性在内的偏振敏感信息,实验证明了我们方法的优越性能。本文提出的系统可能会在活样品的超快速偏振动力学或其他一些先进的生物医学研究中找到潜在应用。