Article
Physics, Multidisciplinary
Wei Guo, Jiawei Song, Nan Zeng, Hui Ma
Summary: In this study, a flat-field Mueller matrix imaging system is proposed to reduce reconstruction errors caused by critical illumination. By adding a beam shaping module to a traditional Mueller system, the signal-to-noise ratio of the reconstructed images is improved significantly. Experimental results demonstrate the effectiveness of the system in minimizing reconstruction errors and highlight the potential of flat-field polarization imaging in pathological diagnosis and tissue characteristic extraction.
FRONTIERS IN PHYSICS
(2022)
Article
Optics
Changchun Lu, You Zhou, Yanxun Guo, Shaowei Jiang, Zibang Zhang, Guoan Zheng, Jingang Zhong
Summary: The study presents a mask-modulated lensless imaging platform based on translated structured illumination for high-resolution complex-valued object image recovery without involving mechanical scanning. By using an LED array to provide angle-varied illumination, regularized ptychographic iterative engine is employed in the reconstruction process, demonstrating higher resolution and better quality recovery compared to previous implementations.
Article
Optics
J. I. N. G. J. I. N. G. Zhang, Z. H. U. H. E. Jing, S. H. U. P. E. N. G. Zhao, X. I. A. O. Wang, G. U. A. N. G. D. O. N. G. Ma, Y. O. N. G. T. A. O. Zhao, R. U. I. F. E. N. G. Liu, F. U. L. I. LI
Summary: Imaging through scattering layers based on the optical memory effect (OME) has been extensively studied. Recovering hidden targets with proper spatial distribution in the presence of multiple targets beyond the OME range is crucial. In this letter, a method for multi-target object scattering imaging is proposed, utilizing the intensity correlation between structured illumination patterns and recorded speckle images. Experimental implementation with 16 targets and motion tracking demonstrates significant progress in large-field scattering imaging with multiple targets.
Article
Optics
Hong-Yun Hou, Ya-Nan Zhao, Jia-Cheng Han, Sheng-Wei Cui, De-Zhong Cao, Hong-Chao Liu, Su-Heng Zhang, Bao-Lai Liang
Summary: This research presents a coherent structured illumination single-pixel imaging scheme that efficiently generates complex-amplitude images of objects using phase modulation and inverse Hadamard transform. The scheme demonstrates high efficiency, image quality, spatial resolution, and stability, showing promising applications in optical metrology and biomedical science.
Article
Optics
Kai Wen, ZhaoLin Gao, Xiang Fang, Min Liu, JuanJuan Zheng, Ying Ma, Zeev Zalevsky, Peng Gao
Summary: This study introduces a partially coherent illumination-based SIM apparatus for dual-modality microscopic imaging, capable of obtaining phase and fluorescent images of the same sample. The system demonstrates superiority in phase and fluorescent imaging, with potential applications in various fields.
Article
Physics, Multidisciplinary
Kai Wen, Ying Ma, Min Liu, Jianlang Li, Zeev Zalevsky, Juanjuan Zheng
Summary: This paper demonstrates a DMD-based optical microscopic apparatus for qDIC imaging, coherent SIM, and dual-modality imaging. By projecting two sets of fringe patterns with orthogonal orientations on the sample, quantitative phase images and super-resolved scattering/fluorescence images can be reconstructed. Additionally, fluorescent imaging modality is integrated to provide specific biochemical structures of the sample.
FRONTIERS IN PHYSICS
(2021)
Article
Optics
Fuda Jiang, Chonglei Zhang
Summary: For quantitative phase imaging (QPI) based on transport-of-intensity equation (TIE), the phase obtained by TIE is limited by the higher-order intensity derivatives caused by large defocus distance and the phase discrepancy caused by Teague assumption. To overcome these issues and achieve higher accuracy phase without increasing the number of defocus images, we propose a fast compensation algorithm that requires only a few iterations. The convergence of our algorithm is theoretically proved and its efficiency is verified by experiments. We believe that this method, with its characteristics of fast and higher accuracy, will contribute to the application of QPI.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Xin Jin, Xuemei Ding, Jiubin Tan, Cheng Shen, Xuyang Zhou, Shutian Liu, Zhengjun Liu
Summary: In this research, tilt illumination mode is introduced to structured illumination microscopy (SIM) to enhance lateral resolution by collecting higher frequency information. The detector allows for obtaining more sample spectrum compared to traditional SIM, ultimately improving lateral imaging resolution.
OPTICAL AND QUANTUM ELECTRONICS
(2021)
Article
Optics
Benjamin G. Whetten, Jarom S. Jackson, Richard L. Sandberg, Dallin S. Durfee
Summary: This paper discusses the impacts of uncertainty in mirror movements in mechanically scanned interference pattern structured illumination imaging (IPSII). It is demonstrated that the uncertainty in IPSII mirror movements results in errors in both the phase and amplitude of the Fourier transform of the resulting imaging. Finally, the paper demonstrates that iterative phase retrieval algorithms can improve the quality of IPSII images by correcting the phase errors caused by mirror movement uncertainties.
Article
Optics
Hong Cheng, Wentong Wu, Qiyang Zhang, Yifan Cheng
Summary: In this paper, we propose a binocular phase retrieval algorithm based on multiwavelength illumination. By combining the synthetic wavelengths and synthetic phases obtained from solving the single-phase results at different wavelengths, we calculate the surface height of the object and reconstruct the initial phase results at different wavelengths. A step-by-step noise reduction method is introduced to solve the amplification of traditional noise and surface profile noise in the phase synthesis step, achieving high-precision phase results at different wavelengths. The correctness and effectiveness of the algorithm are verified through intensity images collected by the proposed dual-microscope system.
OPTICAL ENGINEERING
(2022)
Article
Optics
Sibi chakravarthy s Hanmugavel, Yunhuiz Hu
Summary: We present a technique for sub-diffraction resolution imaging of non-fluorescent samples through quantitative phase imaging. By applying structured illumination microscopy (SIM) in a novel way, we are able to extract high spatial frequency components from defocused intensity images and reconstruct quantitative phase images with a frequency spectrum that exceeds the diffraction limit imposed by the imaging system. This approach offers several advantages, including a deterministic, phase-unwrapping-free algorithm and a noninterferometric setup that is easy to implement.
Article
Chemistry, Analytical
Ziyi Cao, Dustin M. Harmon, Ruochen Yang, Aleksandr Razumtcev, Minghe Li, Mark S. Carlsen, Andreas C. Geiger, Dmitry Zemlyanov, Alex M. Sherman, Nita Takanti, Jiayue Rong, Yechan Hwang, Lynne S. Taylor, Garth J. Simpson
Summary: The use of periodically structured illumination coupled with spatial Fourier-transform fluorescence recovery after photobleaching (FT-FRAP) enables diffusivity mapping within segmented domains of arbitrary shape. Diffusion is encoded onto harmonic peaks in the spatial Fourier transform through periodic comb-bleach patterning of the excitation beam. Image segmentation prior to Fourier transformation enhances signal to noise ratio and supports pooling for regions of similar diffusivity. The results provide insights into the recovery kinetics within amorphous/amorphous phase-separated domains and have implications for the design of amorphous systems for therapeutic molecule delivery.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Ziyi Cao, Dustin M. Harmon, Ruochen Yang, Aleksandr Razumtcev, Minghe Li, Mark S. Carlsen, Andreas C. Geiger, Dmitry Zemlyanov, Alex M. Sherman, Nita Takanti, Jiayue Rong, Yechan Hwang, Lynne S. Taylor, Garth J. Simpson
Summary: The use of periodically structured illumination coupled with spatial Fourier-transform fluorescence recovery after photobleaching (FT-FRAP) allows for diffusivity mapping within segmented domains of arbitrary shape. By encoding spatial maps of diffusion onto harmonic peaks in the spatial Fourier transform, diffusion imaging by FT-FRAP improves signal to noise ratio and simplifies mathematical analysis. This technique has been applied to map spatially resolved diffusion differences within phase-separated domains of model amorphous solid dispersion spin-cast thin films, with implications for the design of stable storage and efficient delivery of therapeutic molecules.
ANALYTICAL CHEMISTRY
(2023)
Article
Optics
Shane Carney, Ting Chean Khoo, Alireza Sheikhsofla, Samaneh Ghazanfarpour, Anna Sharikova, Supriya D. Mahajan, Alexander Khmaladze, Jonathan C. Petruccelli
Summary: Quantitative phase imaging (QPI) allows label-free assessment of live cells, and digital holographic microscopy (DHM) is an accurate and reliable technique for QPI. However, the assembly and operation of DHM can be challenging for many labs. The transport of intensity equation (TIE) imaging is a QPI method that is compatible with conventional microscopy and has lower cost and coherence requirements compared to DHM. Here, a microscope capable of performing simultaneous DHM and TIE phase reconstructions is presented to validate TIE as an accurate method for both static sample arrays and live cells.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Optics
Anton Classen, Xinghua Liu, Aleksei M. Zheltikov, Girish S. Agarwal
Summary: LP-SIM enhances microscopy performance through intensity correlations, achieving super-resolution imaging for high spatial resolution with low-intensity illumination and moderate temporal resolution.
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)