GEOMScope: Large Field-of-View 3D Lensless Microscopy with Low Computational Complexity,Laser & Photonics Reviews

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GEOMScope: Large Field-of-View 3D Lensless Microscopy with Low Computational Complexity
Laser & Photonics Reviews ( IF 9.8 ) Pub Date : 2021-06-27 , DOI: 10.1002/lpor.202100072
Feng Tian ₁ , Junjie Hu ₁ , Weijian Yang ₁

Affiliation

Imaging systems with miniaturized device footprint, real-time processing speed, and high-resolution 3D visualization are critical to broad biomedical applications such as endoscopy. Most of existing imaging systems rely on bulky lenses and mechanically refocusing to perform 3D imaging. Here, GEOMScope, a lensless single-shot 3D microscope that forms image through a single layer of thin microlens array and reconstructs objects through an innovative algorithm combining geometrical-optics-based pixel back projection and background suppressions, is demonstrated. The effectiveness of GEOMScope is verified on resolution target, fluorescent particles, and volumetric objects. Comparing to other widefield lensless imaging devices, the required computational resource is significantly reduced, and the reconstruction speed is increased by orders of magnitude. This enables to image and recover large volume 3D object in high resolution with near real-time processing speed. Such a low computational complexity is attributed to the joint design of imaging optics and reconstruction algorithms, and a joint application of geometrical optics and machine learning in the 3D reconstruction. More broadly, the excellent performance of GEOMScope in imaging resolution, volume, and reconstruction speed implicates that geometrical optics can greatly benefit and play an important role in computational imaging.

中文翻译：

GEOMScope：计算复杂度低的大视场 3D 无透镜显微镜

具有小型化设备占用空间、实时处理速度和高分辨率 3D 可视化的成像系统对于内窥镜等广泛的生物医学应用至关重要。大多数现有成像系统依靠笨重的镜头和机械重新聚焦来执行 3D 成像。这里展示了 GEOMScope，这是一种无透镜单次 3D 显微镜，它通过单层薄微透镜阵列形成图像，并通过结合基于几何光学的像素背投影和背景抑制的创新算法重建物体。GEOMScope 的有效性在分辨率目标、荧光颗粒和体积物体上得到了验证。与其他宽场无透镜成像设备相比，所需的计算资源显着减少，并且重建速度提高了几个数量级。这使得能够以接近实时的处理速度以高分辨率对大体积 3D 对象进行成像和恢复。如此低的计算复杂度归功于成像光学和重建算法的联合设计，以及几何光学和机器学习在3D重建中的联合应用。更广泛地说，GEOMScope 在成像分辨率、体积和重建速度方面的出色性能意味着几何光学可以在计算成像中极大受益并发挥重要作用。

更新日期：2021-08-15

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