The Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Shatin, Hong Kong, China.
J Biomed Opt. 2020 Oct;25(10). doi: 10.1117/1.JBO.25.10.106502.
High-speed 3D imaging methods have been playing crucial roles in many biological discoveries.
We present a hybrid light-field imaging system and image processing algorithm that can visualize high-speed biological events.
The hybrid light-field imaging system uses the selective plane optical illumination, which simultaneously records a high-resolution 2D image and a low-resolution 4D light-field image. The high-resolution 4D light-field image is obtained by applying the hybrid algorithm derived from the deconvolution and phase retrieval methods.
High-resolution 3D imaging at a speed of 100-s volumes per second over an imaging field of 250 × 250 × 80 μm3 in the x, y, and z axis, respectively, is achieved with a 2.5 times enhancement in lateral resolution over the entire imaging field compared with standard light-field systems. In comparison to the deconvolution algorithm, the hybrid algorithm addresses the artifact issue at the focal plane and reduces the computation time by a factor of 4.
The new hybrid light-field imaging method realizes high-resolution and ultrafast 3D imaging with a compact setup and simple algorithm, which may help discover important applications in biophotonics to visualize high-speed biological events.
高速 3D 成像方法在许多生物学发现中发挥着关键作用。
我们提出了一种混合光场成像系统和图像处理算法,可用于可视化高速生物事件。
混合光场成像系统采用选择性平面光学照明,可同时记录高分辨率的 2D 图像和低分辨率的 4D 光场图像。通过应用从反卷积和相位恢复方法导出的混合算法来获得高分辨率的 4D 光场图像。
在 x、y 和 z 轴上的成像场分别为 250×250×80μm3 的情况下,实现了每秒 100 个体积的高速 3D 成像,与标准光场系统相比,整个成像场的横向分辨率提高了 2.5 倍。与反卷积算法相比,混合算法解决了焦平面上的伪影问题,并将计算时间缩短了 4 倍。
新的混合光场成像方法实现了具有紧凑设置和简单算法的高分辨率和超快 3D 成像,这可能有助于在生物光子学中发现可视化高速生物事件的重要应用。