Man Tianlong, Wan Yuhong, Yan Wujuan, Wang Xiu-Hong, Peterman Erwin J G, Wang Dayong
Institute of Information Photonics Technology, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China.
College of Applied Sciences, Beijing University of Technology, 100 Ping Le Yuan, Chaoyang District, Beijing 100124, China.
Biomed Opt Express. 2018 May 10;9(6):2614-2626. doi: 10.1364/BOE.9.002614. eCollection 2018 Jun 1.
Three-dimensional imaging in biological samples usually suffers from performance degradation caused by optical inhomogeneities. Here we proposed an approach to adaptive optics in fluorescence microscopy where the aberrations are measured by self-interference holographic recording and then corrected by a post-processing optimization procedure. In our approach, only one complex-value hologram is sufficient to measure and then correct the aberrations, which results in fast acquisition speed, lower exposure time, and the ability to image in three-dimensions without the need to scan the sample or any other element in the system. We show proof-of-principle experiments on a tissue phantom containing fluorescence particles. Furthermore, we present three-dimensional reconstructions of actin-labeled MCF7 breast cancer cells, showing improved resolution after the correction of aberrations. Both experiments demonstrate the validity of our method and show the great potential of non-scanning adaptive three-dimensional microscopy in imaging biological samples with improved resolution and signal-to-noise ratio.
生物样品中的三维成像通常会因光学不均匀性而导致性能下降。在此,我们提出了一种荧光显微镜中的自适应光学方法,其中像差通过自干涉全息记录进行测量,然后通过后处理优化程序进行校正。在我们的方法中,仅一个复值全息图就足以测量并校正像差,这导致采集速度快、曝光时间短,并且能够在无需扫描样品或系统中的任何其他元件的情况下进行三维成像。我们展示了在含有荧光颗粒的组织模型上的原理验证实验。此外,我们展示了肌动蛋白标记的MCF7乳腺癌细胞的三维重建,显示出像差校正后分辨率得到提高。这两个实验都证明了我们方法的有效性,并展示了非扫描自适应三维显微镜在以更高分辨率和信噪比成像生物样品方面的巨大潜力。