Holographic 3D particle reconstruction using a one-stage network.
Holographic 3D particle reconstruction using a one-stage network.
复制标题
使用一级网络进行全息 3D 粒子重建。
作者：
Yunping Zhang;Yanmin Zhu;E. Lam
具有高分辨率和低延迟的三维（3D）粒子场的体积重建是一项雄心勃勃且有价值的任务。作为一种紧凑且高通量的成像系统，数字全息术（DH）将颗粒体积的3D信息编码成二维（2D）干涉图案。在这项工作中，我们提出了一个一级网络（OSNet）的三维粒子体积重建。具体而言，通过单个前馈过程，OSNet可以直接从全息图中检索颗粒的3D坐标，而无需在每个深度切片处进行高保真图像重建。从合成和实验数据的评估结果证实了我们的方法的可行性和鲁棒性，在不同的颗粒浓度和噪声水平的检测率和位置精度，提高了处理速度。三维粒子跟踪的其他应用也进行了研究，有利于分析的动态位移和运动的微对象或细胞。它可以进一步扩展到共享类似特征的各种类型的计算成像问题。
Volumetric reconstruction of a three-dimensional (3D) particle field with high resolution and low latency is an ambitious and valuable task. As a compact and high-throughput imaging system, digital holography (DH) encodes the 3D information of a particle volume into a two-dimensional (2D) interference pattern. In this work, we propose a one-stage network (OSNet) for 3D particle volumetric reconstruction. Specifically, by a single feed-forward process, OSNet can retrieve the 3D coordinates of the particles directly from the holograms without high-fidelity image reconstruction at each depth slice. Evaluation results from both synthetic and experimental data confirm the feasibility and robustness of our method under different particle concentrations and noise levels in terms of detection rate and position accuracy, with improved processing speed. The additional applications of 3D particle tracking are also investigated, facilitating the analysis of the dynamic displacements and motions for micro-objects or cells. It can be further extended to various types of computational imaging problems sharing similar traits.