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
Optics
Zewei Luo, Ge Wu, Mengting Kong, Zhi Chen, Zhengfei Zhuang, Junchao Fan, Tongsheng Chen
Summary: Forster resonance energy transfer (FRET) microscopy is a valuable tool for studying biological systems, but super-resolution FRET imaging in living cells is challenging. In this study, we propose a SR FRET method called SIM-FRET that combines SR structured illumination microscopy (SIM) imaging and acceptor sensitized emission FRET imaging to achieve live-cell quantitative SR FRET imaging. Our method provides enhanced spatial resolution and maintains the advantages of quantitative FRET analysis. We validate the effectiveness of SIM-FRET through simulated models and live-cell samples, and demonstrate its ability to reveal the intricate structure of FRET signals.
PHOTONICS RESEARCH
(2023)
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
Biotechnology & Applied Microbiology
Xuesong Li, Yicong Wu, Yijun Su, Ivan Rey-Suarez, Claudia Matthaeus, Taylor B. B. Updegrove, Zhuang Wei, Lixia Zhang, Hideki Sasaki, Yue Li, Min Guo, John P. P. Giannini, Harshad D. D. Vishwasrao, Jiji Chen, Shih-Jong J. Lee, Lin Shao, Huafeng Liu, Kumaran S. S. Ramamurthi, Justin W. W. Taraska, Arpita Upadhyaya, Patrick La Riviere, Hari Shroff
Summary: Enhanced axial resolution for 3D SIM is achieved with deep learning or four-beam interference. These methods allow for higher spatial frequency content and near-isotropic imaging with resolutions of around 120 nm in both lateral and axial directions. The deep learning method can also be combined with denoising for volumetric imaging. Various cellular samples were imaged to demonstrate the potential of these advancements.
NATURE BIOTECHNOLOGY
(2023)
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
Chemistry, Multidisciplinary
Chenshuang Zhang, Fangrui Lin, Yong Zhang, Haozhi Yang, Danying Lin, Jun He, Changrui Liao, Xiaoyu Weng, Liwei Liu, Yiping Wang, Bin Yu, Junle Qu
Summary: MSIM-SHG is a novel approach that combines second-harmonic generation (SHG) with multifocal structured illumination microscopy (MSIM) to achieve super-resolution imaging. It has wide applications in imaging material molecules and quantifying collagen fiber alignment, showing potential for clinical diagnosis and biological research.
Article
Optics
Xiaomin Zheng, Jie Zhou, Lei Wang, Meiting Wang, Wenshuai Wu, Jiajie Chen, Junle Qu, Bruce Zhi Gao, Yonghong Shao
Summary: Structured Illumination Microscopy (SIM) has shown remarkable progress in resolution, imaging depth, and technological advancements in recent years, making it a powerful tool in biomedical research. Its flexibility allows for effective combination with other methods, offering enhanced imaging capabilities.
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
Chemistry, Multidisciplinary
Baolei Liu, Jiayan Liao, Yiliao Song, Chaohao Chen, Lei Ding, Jie Lu, Jiajia Zhou, Fan Wang
Summary: The study introduces a method for multiplexed super-resolution imaging using lifetime-engineered upconversion nanoparticles, achieving a lateral resolution of 185 nm. By utilizing a deep learning algorithm, more accurate decoding compared to a numeric algorithm is achieved, with decoding accuracies above 93% for a three-channel super-resolution imaging.
NANOSCALE ADVANCES
(2021)
Article
Optics
Yile Sun, Hongfei Zhu, Lu Yin, Hanmeng Wu, Mingxuan Cai, Weiyun Sun, Yueshu Xu, Xinxun Yang, Jiaxiao Han, Wenjie Liu, Yubing Han, Xiang Hao, Renjie Zhou, Cuifang Kuang, Xu Liu
Summary: Fluorescence interference structured illumination microscopy (FI-SIM) is a new imaging modality that allows for high axial resolution imaging without the need for z-axis scanning. It can quickly acquire images with relatively low laser power density, making it suitable for observing fixed and live subcellular structures.
ADVANCED PHOTONICS
(2023)
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
Yujun Tang, Gang Wen, Yong Liang, Linbo Wang, Jie Zhang, Hui LI
Summary: Deep learning is used to reconstruct super-resolution structured illumination microscopy (SR-SIM) images, effectively reducing photobleaching and phototoxicity. A proposed dynamic SIM imaging strategy records full raw images at the beginning and then only wide-field images, with a deep-learning-based reconstruction algorithm improving the quality of reconstructed SR images while reducing photobleaching and phototoxicity. This algorithm also has the capability to observe new structures not included during network training.
Article
Nanoscience & Nanotechnology
Piotr Zdankowski, Lucia F. Lopez, Guillermo P. Acuna, Fernando D. Stefani
Summary: The localization of single fluorescent emitters is crucial for nanoscale physicochemical and biophysical measurements. MINFLUX and other related methods have achieved breakthroughs in resolution, enabling true nanoscale fluorescence nanoscopy and single-molecule tracking.
Article
Computer Science, Interdisciplinary Applications
Mohammadreza Amjadian, Seyed Masood Mostafavi, Jiangbo Chen, Zahra Kavehvash, Jingyi Zhu, Lidai Wang
Summary: This paper proposes a novel super-resolution volumetric photoacoustic microscopy based on structured illumination theory, utilizing optical excitation and Fourier-domain reconstruction algorithm to improve lateral resolution and reduce computational load. Experimental results demonstrate significant enhancements in lateral resolution and signal-to-noise ratio of the imaging system.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Optics
Qinnan Zhang, Jiawei Chen, Jiaosheng Li, En Bo, Heming Jiang, Xiaoxu Lu, Liyun Zhong, Jindong Tian
Summary: This research presents a deep learning-based method for structured illumination microscopy (SIM) that can reconstruct super-resolution (SR) images using only one frame of structured illumination image. Generative adversative networks (GANs) and deformation of U-Net (DU-Net) are utilized for the task. Experimental and simulation results demonstrate the ability to reconstruct SR images from a single frame of structured illumination image, significantly reducing phototoxicity and photobleaching.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Optics
Theodore B. DuBose, Francesco LaRocca, Sina Farsiu, Joseph A. Izatt
Article
Biochemical Research Methods
Li-Hao Yeh, Shwetadwip Chowdhury, Laura Waller
BIOMEDICAL OPTICS EXPRESS
(2019)
Article
Biochemical Research Methods
Li-Hao Yeh, Shwetadwip Chowdhury, Nicole A. Repina, Laura Waller
BIOMEDICAL OPTICS EXPRESS
(2019)
Article
Optics
Kevin C. Zhou, Ruobing Qian, Simone Degan, Sina Farsiu, Joseph A. Izatt
Article
Optics
Shwetadwip Chowdhury, Michael Chen, Regina Eckert, David Ren, Fan Wu, Nicole Repina, Laura Waller
Article
Optics
Michael Chen, David Ren, Hsiou-Yuan Liu, Shwetadwip Chowdhury, Laura Waller
Article
Robotics
Brenton Keller, Mark Draelos, Kevin Zhou, Ruobing Qian, Anthony N. Kuo, George Konidaris, Kris Hauser, Joseph A. Izatt
IEEE TRANSACTIONS ON ROBOTICS
(2020)
Article
Multidisciplinary Sciences
Ruobing Qian, Kevin C. Zhou, Jingkai Zhang, Christian Viehland, Al-Hafeez Dhalla, Joseph A. Izatt
Summary: This paper presents a high-speed FMCW-based 3D imaging system that combines grating beam steering with compressed time-frequency analysis for depth retrieval. The system achieves real-time densely sampled 3D imaging of moving objects with submillimeter localization accuracy.
NATURE COMMUNICATIONS
(2022)
Article
Robotics
William Edwards, Gao Tang, Yuan Tian, Mark Draelos, Joseph Izatt, Anthony Kuo, Kris Hauser
Summary: Deep anterior lamellar keratoplasty (DALK) is a technique for cornea transplantation that reduces patient morbidity. Robot microsurgery has been explored as a potential application for DALK due to its challenging nature for human surgeons. In this study, we have developed a data-driven autoregressive dynamic model and a model predictive controller to improve the accuracy of needle insertion during the surgery. Our experiments show that our controller significantly improves needle positioning accuracy compared to previous methods.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Ophthalmology
Shwetha Mangalesh, Brendan McGeehan, Vincent Tai, Xi Chen, Du Tran-Viet, Lejla Vajzovic, Christian Viehland, Joseph A. Izatt, C. Michael Cotten, Sharon F. Freedman, Maureen G. Maguire, Cynthia A. Toth
Summary: The study reported the reliability of capturing, grading, and analyzing bedside macular OCT images from preterm infants at 36 +/- 1 weeks' postmenstrual age, and the OCT findings were related to biological factors and retinopathy of prematurity status. Macular edema was present in 60% of eyes, and thicker inner nuclear layer was associated with more severe edema. Variations in layer thicknesses at 36 +/- 1 weeks' PMA in preterm infants may reflect abnormalities resulting from delay in foveal development impacted by macular edema, ROP, or both.
OPHTHALMOLOGY RETINA
(2021)
Meeting Abstract
Ophthalmology
Ruobing Qian, Ryan P. McNabb, Anthony N. Kuo, Joseph A. Izatt
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2018)
Meeting Abstract
Ophthalmology
Hesham Gabr, Hoan Ngo, S. Tammy Hsu, Joseph Izatt, Cynthia A. Toth
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2018)
Meeting Abstract
Ophthalmology
Brenton Keller, Mark Draelos, Gao Tang, Sina Farsiu, Anthony N. Kuo, Kris Hauser, Joseph A. Izatt
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2018)
Meeting Abstract
Ophthalmology
Isaac Bleicher, Moseph Jackson-Atogi, Christian Viehland, Hesham Gabr, Joseph A. Izatt, Cynthia A. Toth
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2018)
Meeting Abstract
Ophthalmology
Mark Draelos, Brenton Keller, Gao Tang, Kris Hauser, Anthony N. Kuo, Joseph A. Izatt
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
(2018)