Liao Jiuling, Chen Longchao, Xia Xianyuan, Yu Jia, Chen Tingai, Li Hui, Zheng Wei
Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Key Laboratory for Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Quant Imaging Med Surg. 2019 May;9(5):815-822. doi: 10.21037/qims.2019.05.05.
Multicolor fluorescence microscopy has proved essential in biological studies. However, the application of conventional multicolor microscopy to imaging subcellular organelles is restricted by its diffraction-limited spatial resolution. Re-scan confocal microscopy (RCM), a novel super-resolution imaging technique, can effectively address this problem. However, previous multicolor RCM imaging methods usually led to spatial mismatch in images due to the sequential scanning of the sample with multiple excitation lasers.
We present a new RCM system to achieve multicolor super-resolution imaging. A spectrograph was used as the multicolor detection system, and a linear spectral unmixing algorithm was applied to separate different fluorophores in the spectral image. Moreover, since the image reconstruction process induced an artificial resolution improvement, a gamma correction was introduced to restore the multicolor super-resolution image.
By imaging phalloidin-labeled F-actin in breast cancer cells, we found that the lateral resolution of our system is approximately 171 nm, which is a 1.8-fold improvement over that of wide-field imaging. The successful identification of three types of fluorescent beads indicated that our multicolor RCM can resolve different fluorophores whose spectra largely overlap with each other. Finally, we demonstrated that our method is suitable for imaging multicolor-labeled organelles of live cells.
Our novel RCM system can acquire multicolor super-resolution images of live cells without spatial mismatch, obvious photobleaching or photodamage. This system may provide a new imaging tool for monitoring dynamic events involving interactions between multiple molecules and organelles in cells.
多色荧光显微镜已被证明在生物学研究中至关重要。然而,传统多色显微镜在亚细胞细胞器成像中的应用受到其衍射极限空间分辨率的限制。重新扫描共聚焦显微镜(RCM)是一种新型的超分辨率成像技术,能够有效解决这一问题。然而,由于使用多个激发激光对样品进行顺序扫描,以往的多色RCM成像方法通常会导致图像中的空间不匹配。
我们提出了一种新的RCM系统来实现多色超分辨率成像。使用光谱仪作为多色检测系统,并应用线性光谱解混算法在光谱图像中分离不同的荧光团。此外,由于图像重建过程会导致人为的分辨率提高,因此引入了伽马校正来恢复多色超分辨率图像。
通过对乳腺癌细胞中鬼笔环肽标记的F-肌动蛋白进行成像,我们发现我们系统的横向分辨率约为171 nm,比宽场成像提高了1.8倍。成功识别三种类型的荧光珠表明,我们的多色RCM能够分辨光谱大量重叠的不同荧光团。最后,我们证明了我们的方法适用于对活细胞的多色标记细胞器进行成像。
我们新颖的RCM系统能够获取活细胞的多色超分辨率图像,且不存在空间不匹配、明显的光漂白或光损伤。该系统可能为监测细胞中涉及多个分子和细胞器之间相互作用的动态事件提供一种新的成像工具。