Jiang Shaowei, Liao Jun, Bian Zichao, Song Pengming, Soler Garrett, Hoshino Kazunori, Zheng Guoan
Opt Lett. 2019 Feb 15;44(4):811-814. doi: 10.1364/OL.44.000811.
Structured illumination has been widely used for optical sectioning and 3D surface recovery. In a typical implementation, multiple images under non-uniform pattern illumination are used to recover a single object section. Axial scanning of the sample or the objective lens is needed for acquiring the 3D volumetric data. Here we demonstrate the use of axially shifted pattern illumination for virtual volumetric confocal imaging without axial scanning. In the reported approach, we project illumination patterns at a tilted angle with respect to the detection optics. As such, the illumination patterns shift laterally at different z sections, and the 3D sample information can be recovered based on the captured 2D images. We demonstrate the reported approach for virtual confocal imaging through a diffusing layer and underwater 3D imaging through diluted milk. We show that we can acquire the entire confocal volume in ∼1 s with a throughput of 420 megapixels per second. Our approach may provide new insights for developing confocal light ranging and detection systems in degraded visual environments.
结构化照明已广泛用于光学切片和三维表面恢复。在典型的实现方式中，使用在非均匀图案照明下的多幅图像来恢复单个物体切片。获取三维体积数据需要对样品或物镜进行轴向扫描。在此，我们展示了使用轴向移位图案照明进行虚拟体积共聚焦成像而无需轴向扫描。在所报道的方法中，我们相对于检测光学器件以倾斜角度投射照明图案。这样，照明图案在不同的z截面处横向移位，并且可以基于捕获的二维图像恢复三维样品信息。我们通过扩散层展示了所报道的虚拟共聚焦成像方法，并通过稀释牛奶进行了水下三维成像。我们表明，我们可以在约1秒内获取整个共聚焦体积，每秒吞吐量为420兆像素。我们的方法可能为在退化视觉环境中开发共聚焦光测距和检测系统提供新的见解。
