Article
Optics
Ting Yang, Zhilong Xu, Wenyi Ren, Yang Feng, Dan Wu, Rui Zhang, Yingge Xie
Summary: This paper presents a hyperspectral microscopic imaging system based on compressive sensing theory using spectral-coded illumination. A spectral modulator, consisting of a liquid crystal variable retarder and two polarizers, is used to encode the spectral transmittance of the incident light by adjusting the voltage of the liquid crystal variable retarder. The feasibility of the system is confirmed through computer simulations and laboratory experiments, offering an alternative approach for designing a low-cost and compact hyperspectral microscope.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Optics
Liming Yang, Ruihai Wang, Qianhao Zhao, Pengming Song, Shaowei Jiang, Tianbo Wang, Xiaopeng Shao, Chengfei Guo, Rishikesh Pandey, Guoan Zheng
Summary: Polarimetric imaging is valuable for inferring birefringence properties of samples without labels. This study presents a novel polarimetric coded ptychography approach that enables high-resolution, high-throughput gigapixel birefringence imaging on a chip. The prototype device can quickly acquire large-scale birefringence images at a low cost.
PHOTONICS RESEARCH
(2023)
Article
Optics
Fan Liu, Qingru Li, Shurong Jiang, Liqiang Zhou, Jin Zhang, Han Zhang
Summary: This study introduces a new FP technique for TPSIM, which is shown to reduce the number of raw images and improve resolution through simulation results. This method enables TPSIM to achieve more efficient illumination patterns, shorter acquisition time, and less phototoxicity in live-cell imaging.
OPTICS COMMUNICATIONS
(2021)
Article
Biochemical Research Methods
Minglu Sun, Lina Shao, Jinrui Zhang, Youqiang Zhu, Peilin Wu, Yukun Wang, Zhihui Diao, Quanquan Mu, Dayu LI, Hongda Wang, Li Xuan
Summary: Fourier ptychography is a promising and flexible imaging technique that can achieve high-resolution 2D quantitative reconstruction and 3D refractive index reconstruction. By applying a hemispherical lighting structure and a new LED arrangement, the illumination NA can be improved while reducing intensity attenuation. The multiplexed-coded illumination strategy reduces the number of captured images and enables real-time data collection, increasing the acquisition speed.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Optics
Fan Liu, Qingru Li, Shurong Jiang, Liqiang Zhou, Jin Zhang, Han Zhang
Summary: A new algorithm for super-resolution microscopy, termed as Fourier ptychographic (FP) technique, is introduced to reduce the number of raw images and enhance resolution effectively. This method enables faster, deeper, and safer live-cell imaging with fewer illumination patterns.
OPTICS COMMUNICATIONS
(2021)
Article
Biochemical Research Methods
Yiwen Chen, Tingfa Xu, Haixin Sun, Jizhou Zhang, Bo Huang, Jinhua Zhang, Jianan Li
Summary: In this work, a complete scheme that integrates Fourier ptychography (FP) with machine learning concepts is presented. This scheme includes a new perspective, a uniform design template, and a fusion framework. By combining ideas from both fields, two algorithms, MaFP and AdamFP, are designed to achieve better, faster, and more stable recovery results.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Biochemical Research Methods
Jiaxiong Luo, Haishu Tan, Ruofei Wu, Sicong Zhu, Hanbao Chen, Junrui Zhen, Jiancong Li, Caizhong Guan, Yanxiong Wu
Summary: Fourier ptychographic microscopy is a super-resolution computational imaging technology that stitches low-resolution images to obtain high-resolution phase images. However, its application in high-speed dynamic imaging is limited. To solve this problem, an adaptive-illumination FPM scheme using regional energy estimation is proposed, reducing data volume while ensuring imaging quality.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Materials Science, Multidisciplinary
Sheng Li, Bowen Wang, Kunyao Liang, Qian Chen, Chao Zuo
Summary: The remote Fourier ptychography (R-FP) technique is a promising super-resolution tool in non-interferometric synthetic aperture research. It overcomes the limitations of field-of-view attenuation and speckle noise in long-range FP imaging by utilizing quasi-plane wave illumination and the TVGF method. R-FP achieves the farthest detection range of macroscopic Fourier ptychographic imaging to date, showing potential for application in far-field detection.
ADVANCED PHOTONICS RESEARCH
(2023)
Article
Optics
Xiao Tao, Jinlei Zhang, Peng Sun, Chang Wang, Chenning Tao, Rengmao Wu, Zhenrong Zheng
Summary: The PSI-FPM system utilizes phase-coded speckle illumination and a phase-only SLM to greatly reduce the number of images needed for reconstruction and enhance the system's robustness. Validated through simulations and experiments, the system reconstructs high-resolution images and is suitable for various speckle imaging applications.
OPTICS COMMUNICATIONS
(2021)
Article
Mathematics, Applied
Pakshal Bohra, Thanh-an Pham, Yuxuan Long, Jaejun Yoo, Michael Unser
Summary: Fourier ptychography (FP) combines low-resolution intensity images of a sample under varying illumination angles to generate a high-resolution complex-valued image. This work proposes a neural-network-based reconstruction framework for dynamic FP, achieving high temporal resolution without compromising spatial resolution. The framework does not require training data and also recovers the microscope's pupil function, paving the way for high-quality ultrafast FP.
Article
Optics
Xiaoli Ji, Xiaoliang He, Zhilong Jiang, Yan Kong, Shouyu Wang, Cheng Liu
Summary: By deducing a formula and conducting analytical analysis, the relationship among the highest achievable resolution of ptychographic iterative engine (PIE), its illumination angle, and its collection angle was discussed. Curved illumination was proposed to enhance the resolution for PIE, and a corresponding computing algorithm was proposed to avoid undersampling effect without increasing the size of the computing matrix, thus enabling high-resolution PIE imaging with a simple experimental setup. The feasibility of this proposed method was verified both numerically and experimentally.
Article
Biology
Yaoyao Yang, Runcong Wu, Dongdong Chen, Chunlong Fei, Di Li, Yintang Yang
Summary: Inspired by the optical imaging algorithm, the Fourier Ptychography (FP) algorithm is used to improve the resolution of ultrasonic array imaging. The particle swarm optimization (PSO) algorithm is then applied to optimize the parameters of the FP algorithm, resulting in improved imaging quality. Experiments conducted using tungsten and pig eyes demonstrate the feasibility and effectiveness of the developed algorithm. The proposed algorithm outperforms the coherent wave superposition (CWS) algorithm, providing enhanced lateral and longitudinal resolutions.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Optics
Ke Xu, Line Zeng, Zaijan LI, Hao Chen, Zhongliang Qiao, Yi Qu, Guojun Liu, Lin LI
Summary: A plant lighting system for growth based on a combination of laser diode and LED lighting modes is proposed to develop a current plant lighting source with a suitable illumination area and high illumination uniformity. By adding a triangular-prism-shaped base plate element to the previous array type optical structure, the light coupling degree is increased and the illumination area is expanded. The Taguchi method is used to study the influence of different factors on illumination uniformity and compare it with the lighting effect of a traditional array floor structure. Finally, a plant lighting source with high illumination uniformity and color-mixing uniformity is obtained, and the illumination area is expanded, verifying the effectiveness of the scheme.
Article
Physics, Applied
Hao Yang, Nigam Samantaray, John Jeffers
Summary: In this article, we describe a quantum illumination scheme based on nonsimultaneous and nonoptimal measurements, and demonstrate the advantage of using multiclick measurements to reveal the presence of a target object earlier under lossy conditions.
PHYSICAL REVIEW APPLIED
(2022)
Correction
Optics
Lei Tian, Laura Waller
Summary: This errata corrects typographical errors in the derived transfer functions in [Opt. Express 23, 11394 (2015)].
Editorial Material
Optics
Yunzhe Li, Lei Tian
Summary: Diffractive Deep Neural Network allows for all-optical computational imaging to penetrate unknown random diffusers at the speed of light.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Article
Optics
Waleed Tahir, Hao Wang, Lei Tian
Summary: The researchers propose an adaptive learning framework called dynamic synthesis network (DSN) to adapt to different scattering conditions by blending multiple experts using a gating network. They demonstrate the DSN in holographic 3D particle imaging for a variety of scattering conditions and show its robust performance in simulation and experiments.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Editorial Material
Optics
Lei Tian
Summary: Deep learning allows for the optimization of imaging speed, field of view, and spatial resolution in autofluorescence-harmonic microscopy without tradeoffs.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Article
Neurosciences
Ahmed S. Abdelfattah, Sapna Ahuja, Taner Akkin, Srinivasa Rao Allu, Joshua Brake, David A. Boas, Erin M. Buckley, Robert E. Campbell, Anderson Chen, Xiaojun Cheng, Tomas Cizmar, Irene Costantini, Massimo De Vittorio, Anna Devor, Patrick R. Doran, Mirna El Khatib, Valentina Emiliani, Natalie Fomin-Thunemann, Yeshaiahu Fainman, Tomas Fernandez-Alfonso, Christopher G. L. Ferri, Ariel Gilad, Xue Han, Andrew Harris, Elizabeth M. C. Hillman, Ute Hochgeschwender, Matthew G. Holt, Na Ji, Kivilcim Kilic, Evelyn M. R. Lake, Lei Li, Tianqi Li, Philipp Machler, Evan W. Miller, Rickson C. Mesquita, K. M. Naga Srinivas Nadella, U. Valentin Nagerl, Yusuke Nasu, Axel Nimmerjahn, Petra Ondrackova, Francesco S. Pavone, Citlali Perez Campos, Darcy S. Peterka, Filippo Pisano, Ferruccio Pisanello, Francesca Puppo, Bernardo L. Sabatini, Sanaz Sadegh, Sava Sakadzic, Shy Shoham, Sanaya N. Shroff, R. Angus Silver, Ruth R. Sims, Spencer L. Smith, Vivek J. Srinivasan, Martin Thunemann, Lei Tian, Lin Tian, Thomas Troxler, Antoine Valera, Alipasha Vaziri, Sergei A. Vinogradov, Flavia Vitale, Lihong Wang, Hana Uhlirova, Chris Xu, Changhuei Yang, Mu-Han Yang, Gary Yellen, Ofer Yizhar, Yongxin Zhao
Summary: This article reviews a diverse toolkit of novel methods for exploring brain function that have emerged from the BRAIN Initiative and related large-scale efforts, with a focus on neurophotonic tools applicable to animal studies. It provides an outlook for future directions in the field.
Article
Optics
Jiabei Zhu, Hao Wang, Lei Tian
Summary: In this study, a novel IDT reconstruction algorithm based on the SSNP model is proposed for recovering the 3D refractive index distribution of multiple-scattering biological samples. The algorithm accurately computes multiple scattering from high-angle illumination and is applied to both sequential and multiplexed IDT techniques. Experimental results demonstrate the effectiveness and computational efficiency of the algorithm.
Article
Optics
Jianing Liu, Hao Wang, Leonard C. Kogos, Yuyu Li, Yunzhe Li, Lei Tian, Roberto Paiella
Summary: Photonics offers a promising approach for image processing through spatial filtering, providing faster speeds and lower power consumption compared to electronic digital solutions. A new method based on pixel arrays of plasmonic directional image sensors is presented, allowing selective detection of light along a small set of geometrically adjustable directions. The resulting imaging systems serve as optical spatial filters without external filtering elements, enabling extreme size miniaturization and the ability to perform multiple filtering operations simultaneously. Rigorous theoretical models and experimental demonstrations showcase the image processing capabilities of these devices, with potential applications in biomedicine and computer vision.
Article
Optics
Yujia Xue, Qianwan Yang, Guorong Hu, Kehan Guo, Lei Tian
Summary: A computational miniature mesoscope (CM2) was developed to enable single-shot, 3D high-resolution imaging across a wide field of view on a miniaturized platform. By improving hardware and computation, including a hybrid emission filter and a 3D-printed collimator for LED illuminator, along with the development of a 3D linear shift-variant model and a deep learning model, accurate and efficient 3D reconstruction was achieved. The CM2Net model demonstrated superior axial resolution and speed compared to previous algorithms, making it a promising tool for large-scale 3D fluorescence imaging applications.
Article
Optics
Sylvain Gigan, Ori Katz, Hilton B. de Aguiar, Esben Ravn Andresen, Alexandre Aubry, Jacopo Bertolotti, Emmanuel Bossy, Dorian Bouchet, Joshua Brake, Sophie Brasselet, Yaron Bromberg, Hui Cao, Thomas Chaigne, Zhongtao Cheng, Wonshik Choi, Tomas Cizmar, Meng Cui, Vincent R. Curtis, Hugo Defienne, Matthias Hofer, Ryoichi Horisaki, Roarke Horstmeyer, Na Ji, Aaron K. LaViolette, Jerome Mertz, Christophe Moser, Allard P. Mosk, Nicolas C. Pegard, Rafael Piestun, Sebastien Popoff, David B. Phillips, Demetri Psaltis, Babak Rahmani, Herve Rigneault, Stefan Rotter, Lei Tian, Ivo M. Vellekoop, Laura Waller, Lihong Wang, Timothy Weber, Sheng Xiao, Chris Xu, Alexey Yamilov, Changhuei Yang, Hasan Yilmaz
Summary: In the last decade, various tools such as wavefront shaping and computational methods have been developed to understand and control the propagation of light in complex mediums. This field has revolutionized the possibility of diffraction-limited imaging at depth in tissues, and a vibrant community is actively working on it.
JOURNAL OF PHYSICS-PHOTONICS
(2022)
Article
Optics
Alex Matlock, Jiabei Zhu, Lei Tian
Summary: Recovering the 3D phase features of complex biological samples has traditionally involved sacrificing computational efficiency and processing time for physical model accuracy and reconstruction quality. However, this study introduces an approximant-guided deep learning framework that overcomes this challenge in a high-speed intensity diffraction tomography system. By training the network on natural image datasets using a physics model simulator-based learning strategy, complex 3D biological samples can be robustly reconstructed. This framework utilizes a lightweight 2D network structure with a multi-channel input to encode axial information, achieving highly efficient training and prediction.
Article
Multidisciplinary Sciences
Jian Zhao, Alex Matlock, Hongbo Zhu, Ziqi Song, Jiabei Zhu, Biao Wang, Fukai Chen, Yuewei Zhan, Zhicong Chen, Yihong Xu, Xingchen Lin, Lei Tian, Ji-Xin Cheng
Summary: This paper introduces Bond-selective Intensity Diffraction Tomography (BS-IDT), a computational mid-infrared photothermal microscopy technique based on a standard bright-field microscope and an add-on pulsed light source. It recovers both mid-infrared spectra and bond-selective 3D refractive index maps based on intensity-only measurements.
NATURE COMMUNICATIONS
(2022)
Article
Biochemical Research Methods
Jelena Platisa, Xin Ye, Allison M. Ahrens, Chang Liu, Ichun Anderson Chen, Ian G. Davison, Lei Tian, Vincent A. Pieribone, Jerry L. Chen
Summary: Monitoring spiking activity in large neuronal populations is crucial for understanding neural circuit function. Voltage imaging provides a new approach for this, but it faces challenges such as reduced fluorescence detection and limited imaging duration. This study developed improved voltage indicators, a high-speed two-photon microscope, and denoising software, enabling simultaneous high-speed deep-tissue imaging of more than 100 labeled neurons over 1 hour. This scalable approach offers a way to image voltage activity across increasing neuronal populations.
Article
Optics
Hao Wang, Jiabei Zhu, Jangwoon Sung, Guorong Hu, Joseph Greene, Yunzhe LI, Seungbeom Park, Wookrae Kim, Myungjun Lee, Yusin Yang, Lei Tian
Summary: Topography measurement is crucial for surface characterization and inspection applications. This study presents a novel topography technique called Fourier ptychographic topography (FPT), which combines a computational microscope and a phase retrieval algorithm to achieve wide-field-of-view and high-resolution topography reconstruction with nanoscale accuracy. FPT has important implications for surface characterization, semiconductor metrology, and inspection applications.
Article
Optics
Jian Zhao, Lulu Jiang, Alex Matlock, Yihong Xu, Jiabei Zhu, Hongbo Zhu, Lei Tian, Benjamin Wolozin, Ji-Xin Cheng
Summary: Researchers developed a computational chemical microscope, FBS-IDT, which can extract molecular structure information of amyloid proteins in their native cellular environment. This technology enables label-free volumetric chemical imaging and 3D visualization of amyloid protein aggregates, as well as depth-resolved mid-infrared fingerprint spectroscopy for protein secondary structure analysis. It provides a new approach to study the relationship between neurodegenerative diseases and amyloid proteins.
LIGHT-SCIENCE & APPLICATIONS
(2023)
Article
Nanoscience & Nanotechnology
Jianing Liu, Hao Wang, Yuyu Li, Lei Tian, Roberto Paiella
Summary: This paper introduces a new type of image sensor that can directly visualize phase objects without additional optical elements. It is particularly significant for applications involving space-constrained and portable setups, and is applicable to surface profiling and biomedical microscopy.
Article
Computer Science, Artificial Intelligence
Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek S. Kamilov
Summary: Intensity Diffraction Tomography (IDT) is a technique that uses optical microscopy to image the three-dimensional refractive index distribution of a sample from two-dimensional intensity-only measurements. Neural fields is a new deep learning approach that can learn continuous representations of physical fields. DeCAF is a neural-fields-based IDT method that can learn a high-quality continuous representation of a refractive index volume from intensity-only and limited-angle measurements, without ground-truth RI maps. DeCAF can generate high-contrast and artifact-free RI maps and outperforms existing methods in terms of mean squared error reduction.
NATURE MACHINE INTELLIGENCE
(2022)
