光学
分辨率(逻辑)
医学影像学
图像分辨率
领域(数学)
计算机科学
物理
人工智能
数学
纯数学
作者
Qiang Geng,Zhiqiang Fu,Shih‐Chi Chen
标识
DOI:10.1117/1.jbo.25.10.106502
摘要
Significance: High-speed 3D imaging methods have been playing crucial roles in many biological discoveries. Aim: We present a hybrid light-field imaging system and image processing algorithm that can visualize high-speed biological events. Approach: 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. Results: 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. Conclusions: 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.
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