Chen Jihui, Wang Feng, Li Yulong, Zhang Xing, Yao Ke, Guan Zanyang, Liu Xiangming
Opt Lett. 2023 Sep 1;48(17):4520-4523. doi: 10.1364/OL.497086.
We present a Fresnel zone plate (FZP) mask-based system for single-shot lensless confocal imaging. The system uses an FZP as coded aperture, which allows each point source to cast a unique pattern onto the sensor, representing their horizontal and axial positions. This results in a 2D sensor measurement comprising a series of FZP patterns, which records the spatial intensity distribution of the incoherent illuminant. The reconstruction process is facilitated by an algorithm based on compress sensing (CS) theory and the use of the nuclear norm of gradient scanning and hologram segmentation technology for autofocusing. The simulative and experimental results of this study align well with the expectation that every layered scene can be accurately recovered at the corresponding depth, without undesirable signals from other layers. Additionally, we analyze the deviation of the reconstruction results in the experiment, which emphasizes the need to consider the thickness of the FZP for a precise forward propagation model.
我们提出了一种基于菲涅耳波带片（FZP）掩膜的单次无透镜共焦成像系统。该系统使用FZP作为编码孔径，这使得每个点光源能够在传感器上投射出独特的图案，代表它们的水平和轴向位置。这导致二维传感器测量包含一系列FZP图案，记录了非相干照明光源的空间强度分布。基于压缩感知（CS）理论的算法以及使用梯度扫描的核范数和全息图分割技术进行自动对焦，促进了重建过程。本研究的模拟和实验结果与预期相符，即每个分层场景都能在相应深度被准确恢复，且无来自其他层的不良信号。此外，我们分析了实验中重建结果的偏差，强调了为精确的正向传播模型考虑FZP厚度的必要性。
