作者单位
摘要
1 西安电子科技大学杭州研究院,浙江 杭州 311231
2 西安电子科技大学光电工程学院,陕西 西安 710071
3 杭州电子科技大学通信工程学院,浙江 杭州 310018
4 康涅狄格大学生物医学工程系,美国 斯托斯06269
叠层成像技术是近年来发展快速的相干衍射成像方法,目前已经成为世界上大多数X射线同步加速器和国家实验室不可或缺的成像工具。光学叠层成像是叠层成像技术在可见光波段的应用,分为基于透镜的傅里叶叠层成像与基于无透镜的编码叠层成像。编码叠层成像作为一种新型无透镜片上显微成像技术,具有大视场、高分辨率、无像差、无标记、便携式,以及缓变相位成像等诸多技术优点。本文介绍无透镜编码叠层显微成像的基本原理及最新研究进展,分析了其成像性能,重点介绍了其在生物医学方面的相关应用,并讨论了编码叠层成像技术未来的发展方向。
叠层成像 编码叠层 无透镜成像 计算成像 显微成像 
激光与光电子学进展
2024, 61(6): 0618003
Author Affiliations
Abstract
1 Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
2 Institute of Medical Biotechnology, Friedrich-Alexander University (FAU), Erlangen, Germany
3 Department of Biomedical Engineering, University of Connecticut, Mansfield Connecticut, USA
4 Department of Radiation Physics, Duke University, Durham, NC 27708, USA
5 Department of Electrical Engineering & Computer Sciences, University of California, Berkeley CA, USA
6 School of Electrical & Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
7 Google, Inc., Mountain View, CA 94043, USA
8 Department of Pathology, Duke University, Durham, NC 27708, USA
Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental research and biotechnology. Despite this role as gold-standard, staining protocols face several challenges, such as a need for extensive, manual processing of samples, substantial time delays, altered tissue homeostasis, limited choice of contrast agents, 2D imaging instead of 3D tomography and many more. Label-free optical technologies, on the other hand, do not rely on exogenous and artificial markers, by exploiting intrinsic optical contrast mechanisms, where the specificity is typically less obvious to the human observer. Over the past few years, digital staining has emerged as a promising concept to use modern deep learning for the translation from optical contrast to established biochemical contrast of actual stainings. In this review article, we provide an in-depth analysis of the current state-of-the-art in this field, suggest methods of good practice, identify pitfalls and challenges and postulate promising advances towards potential future implementations and applications.
PhotoniX
2023, 4(1): 34
Author Affiliations
Abstract
1 School of Optoelectronic Engineering, Xidian University, Xi’an 710071, China
2 Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, USA
3 e-mail: xpshao@xidian.edu.cn
4 e-mail: guoan.zheng@uconn.edu
Polarimetric imaging provides valuable insights into the polarization state of light interacting with a sample. It can infer crucial birefringence properties of specimens without using labels, thereby facilitating the diagnosis of diseases such as cancer and osteoarthritis. In this study, we present a novel polarimetric coded ptychography (pol-CP) approach that enables high-resolution, high-throughput gigapixel birefringence imaging on a chip. Our platform deviates from traditional lens-based systems by employing an integrated polarimetric coded sensor for lensless coherent diffraction imaging. Utilizing Jones calculus, we quantitatively determine the birefringence retardance and orientation information of biospecimens from the recovered images. Our portable pol-CP prototype can resolve the 435 nm linewidth on the resolution target, and the imaging field of view for a single acquisition is limited only by the detector size of 41 mm2. The prototype allows for the acquisition of gigapixel birefringence images with a 180 mm2 field of view in 3.5 min, a performance that rivals high-end whole slide scanner but at a small fraction of the cost. To demonstrate its biomedical applications, we perform high-throughput imaging of malaria-infected blood smears, locating parasites using birefringence contrast. We also generate birefringence maps of label-free thyroid smears to identify thyroid follicles. Notably, the recovered birefringence maps emphasize the same regions as autofluorescence images, underscoring the potential for rapid on-site evaluation of label-free biopsies. Our approach provides a turnkey and portable solution for lensless polarimetric analysis on a chip, with promising applications in disease diagnosis, crystal screening, and label-free chemical imaging, particularly in resource-constrained environments.
Photonics Research
2023, 11(12): 2242
Author Affiliations
Abstract
1 Beijing Institute of Technology, MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing, China
2 Beijing Institute of Technology, School of Information and Electronics and Advanced Research Institute of Multidisciplinary Sciences, Beijing, China
3 Hangzhou Dianzi University, School of Communication Engineering, Hangzhou, China
4 California Institute of Technology, Department of Electrical Engineering, Pasadena, California, United States
5 University of Connecticut, Department of Biomedical Engineering, Storrs, Connecticut, United States
6 Yangtze Delta Region Academy of Beijing Institute of Technology (Jiaxing), Jiaxing, China
Large-scale computational imaging can provide remarkable space-bandwidth product that is beyond the limit of optical systems. In coherent imaging (CI), the joint reconstruction of amplitude and phase further expands the information throughput and sheds light on label-free observation of biological samples at micro- or even nano-levels. The existing large-scale CI techniques usually require scanning/modulation multiple times to guarantee measurement diversity and long exposure time to achieve a high signal-to-noise ratio. Such cumbersome procedures restrict clinical applications for rapid and low-phototoxicity cell imaging. In this work, a complex-domain-enhancing neural network for large-scale CI termed CI-CDNet is proposed for various large-scale CI modalities with satisfactory reconstruction quality and efficiency. CI-CDNet is able to exploit the latent coupling information between amplitude and phase (such as their same features), realizing multidimensional representations of the complex wavefront. The cross-field characterization framework empowers strong generalization and robustness for various coherent modalities, allowing high-quality and efficient imaging under extremely low exposure time and few data volume. We apply CI-CDNet in various large-scale CI modalities including Kramers–Kronig-relations holography, Fourier ptychographic microscopy, and lensless coded ptychography. A series of simulations and experiments validate that CI-CDNet can reduce exposure time and data volume by more than 1 order of magnitude. We further demonstrate that the high-quality reconstruction of CI-CDNet benefits the subsequent high-level semantic analysis.
complex-domain neural network coherent imaging phase retrieval 
Advanced Photonics Nexus
2023, 2(4): 046006
Yefeng Shu 1,2,3†Jiasong Sun 1,2,3†Jiaming Lyu 4Yao Fan 1,2,3[ ... ]Chao Zuo 1,2,3,***
Author Affiliations
Abstract
1 Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technolog, 210094, Nanjing Jiangsu Province, People’s Republic of China
2 Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, 210019, Nanjing Jiangsu Province, People’s Republic of China
3 Jiangsu Key Laboratory of Spectral Imaging Intelligent Sense, 210094, Nanjing Jiangsu Province, People’s Republic of China
4 Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, 200093 Shanghai, People’s Republic of China
5 School of Computer and Electronic Information, Nanjing Normal University, 210023, Nanjing Jiangsu Province, People’s Republic of China
6 Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, USA
PhotoniX
2022, 3(1): 27
Yefeng Shu 1,2,3†Jiasong Sun 1,2,3†Jiaming Lyu 4Yao Fan 1,2,3[ ... ]Chao Zuo 1,2,3,***
Author Affiliations
Abstract
1 Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technolog, 210094, Nanjing Jiangsu Province, People’s Republic of China
2 Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, 210019, Nanjing Jiangsu Province, People’s Republic of China
3 Jiangsu Key Laboratory of Spectral Imaging Intelligent Sense, 210094, Nanjing Jiangsu Province, People’s Republic of China
4 Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, 200093 Shanghai, People’s Republic of China
5 School of Computer and Electronic Information, Nanjing Normal University, 210023, Nanjing Jiangsu Province, People’s Republic of China
6 Department of Biomedical Engineering, University of Connecticut, 06269, Storrs Connecticut, USA
Quantitative phase imaging (QPI) has emerged as a valuable tool for biomedical research thanks to its unique capabilities for quantifying optical thickness variation of living cells and tissues. Among many QPI methods, Fourier ptychographic microscopy (FPM) allows long-term label-free observation and quantitative analysis of large cell populations without compromising spatial and temporal resolution. However, high spatio-temporal resolution imaging over a long-time scale (from hours to days) remains a critical challenge: optically inhomogeneous structure of biological specimens as well as mechanical perturbations and thermal fluctuations of the microscope body all result in time-varying aberration and focus drifts, significantly degrading the imaging performance for long-term study. Moreover, the aberrations are sample- and environment-dependent, and cannot be compensated by a fixed optical design, thus necessitating rapid dynamic correction in the imaging process. Here, we report an adaptive optical QPI method based on annular illumination FPM. In this method, the annular matched illumination configuration (i.e., the illumination numerical aperture (NA) strictly equals to the objective NA), which is the key for recovering low-frequency phase information, is further utilized for the accurate imaging aberration characterization. By using only 6 low-resolution images captured with 6 different illumination angles matching the NA of a 10x, 0.4 NA objective, we recover high-resolution quantitative phase images (synthetic NA of 0.8) and characterize the aberrations in real time, restoring the optimum resolution of the system adaptively. Applying our method to live-cell imaging, we achieve diffraction-limited performance (full-pitch resolution of $$655\,nm$$ at a wavelength of $$525\,nm$$ ) across a wide field of view ( $$1.77\,mm^2$$ ) over an extended period of time.
PhotoniX
2022, 3(1): 24
Jiurun Chen 1,2,3Aiye Wang 1,2,3An Pan 1,2,*Guoan Zheng 4[ ... ]Baoli Yao 1,2
Author Affiliations
Abstract
1 Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
2 University of Chinese Academy of Sciences, Beijing 100049, China
3 CAS Key Laboratory of Space Precision Measurement Technology, Xi’an 710119, China
4 Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, USA
5 e-mail:
Full-color imaging is of critical importance in digital pathology for analyzing labeled tissue sections. In our previous cover story [Sci. China: Phys., Mech. Astron.64, 114211 (2021)SCPMCL1674-734810.1007/s11433-021-1730-x], a color transfer approach was implemented on Fourier ptychographic microscopy (FPM) for achieving high-throughput full-color whole slide imaging without mechanical scanning. The approach was able to reduce both acquisition and reconstruction time of FPM by three-fold with negligible trade-off on color accuracy. However, the method cannot properly stain samples with two or more dyes due to the lack of spatial constraints in the color transfer process. It also requires a high computation cost in histogram matching of individual patches. Here we report a modified full-color imaging algorithm for FPM, termed color-transfer filtering FPM (CFFPM). In CFFPM, we replace the original histogram matching process with a combination of block processing and trilateral spatial filtering. The former step reduces the search of the solution space for colorization, and the latter introduces spatial constraints that match the low-resolution measurement. We further adopt an iterative process to refine the results. We show that this method can perform accurate and fast color transfer for various specimens, including those with multiple stains. The statistical results of 26 samples show that the average root mean square error is only 1.26% higher than that of the red-green-blue sequential acquisition method. For some cases, CFFPM outperforms the sequential method because of the coherent artifacts introduced by dust particles. The reported CFFPM strategy provides a turnkey solution for digital pathology via computational optical imaging.
Photonics Research
2022, 10(10): 2410
You Zhou 1†Bo Xiong 2,3†Weizhi Song 1Xu Zhang 4[ ... ]Xun Cao 1,7,*
Author Affiliations
Abstract
1 School of Electronic Science and Engineering, Nanjing Universityhttps://ror.org/01rxvg760, Nanjing 210023, China
2 Department of Automation, Tsinghua University, Beijing 100084, China
3 Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing 100084, China
4 Beijing Institute of Collaborative Innovation, Beijing 100094, China
5 Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, USA
6 e-mail: qhdai@mail.tsinghua.edu.cn
7 e-mail: caoxun@nju.edu.cn
Micro-endoscopes are widely used for detecting and visualizing hard-to-reach areas of the human body and for in vivo observation of animals. A micro-endoscope that can realize 3D imaging at the camera framerate could benefit various clinical and biological applications. In this work, we report the development of a compact light-field micro-endoscope (LFME) that can obtain snapshot 3D fluorescence imaging, by jointly using a single-mode fiber bundle and a small-size light-field configuration. To demonstrate the real imaging performance of our method, we put a resolution chart in different z positions and capture the z-stack images successively for reconstruction, achieving 333-μm-diameter field of view, 24 μm optimal depth of field, and up to 3.91 μm spatial resolution near the focal plane. We also test our method on a human skin tissue section and HeLa cells. Our LFME prototype provides epi-fluorescence imaging ability with a relatively small (2-mm-diameter) imaging probe, making it suitable for in vivo detection of brain activity and gastrointestinal diseases of animals.
Photonics Research
2022, 10(9): 2247
Author Affiliations
Abstract
Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, USA
Conventional ptychography translates an object through a localized probe beam to widen the field of view in real space. Fourier ptychography translates the object spectrum through a pupil aperture to expand the Fourier bandwidth in reciprocal space. Here we report an imaging modality, termed synthetic aperture ptychography (SAP), to get the best of both techniques. In SAP, we illuminate a stationary object using an extended plane wave and translate a coded image sensor at the far field for data acquisition. The coded layer attached on the sensor modulates the object exit waves and serves as an effective ptychographic probe for phase retrieval. The sensor translation process in SAP synthesizes a large complex-valued wavefront at the intermediate aperture plane. By propagating this wavefront back to the object plane, we can widen the field of view in real space and expand the Fourier bandwidth in reciprocal space simultaneously. We validate the SAP approach with transmission targets and reflection silicon microchips. A 20-mm aperture was synthesized using a 5-mm sensor, achieving a fourfold gain in resolution and 16-fold gain in field of view for object recovery. In addition, the thin sample requirement in ptychography is no longer required in SAP. One can digitally propagate the recovered exit wave to any axial position for post-acquisition refocusing. The SAP scheme offers a solution for far-field sub-diffraction imaging without using lenses. It can be adopted in coherent diffraction imaging setups with radiation sources from visible light, extreme ultraviolet, and X-ray, to electron.
Photonics Research
2022, 10(7): 07001624
Author Affiliations
Abstract
1 University of California, Department of Bioengineering, Los Angeles, California, United States
2 University of Arizona, James C. Wyant College of Optical Sciences, Tucson, Arizona, United States
3 University of Connecticut, Department of Biomedical Engineering, Storrs, Connecticut, United States
4 University of Connecticut, Department of Electrical and Computer Engineering, Storrs, Connecticut, United States
5 Boston University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States
Optical imaging has served as a primary method to collect information about biosystems across scales—from functionalities of tissues to morphological structures of cells and even at biomolecular levels. However, to adequately characterize a complex biosystem, an imaging system with a number of resolvable points, referred to as a space-bandwidth product (SBP), in excess of one billion is typically needed. Since a gigapixel-scale far exceeds the capacity of current optical imagers, compromises must be made to obtain either a low spatial resolution or a narrow field-of-view (FOV). The problem originates from constituent refractive optics—the larger the aperture, the more challenging the correction of lens aberrations. Therefore, it is impractical for a conventional optical imaging system to achieve an SBP over hundreds of millions. To address this unmet need, a variety of high-SBP imagers have emerged over the past decade, enabling an unprecedented resolution and FOV beyond the limit of conventional optics. We provide a comprehensive survey of high-SBP imaging techniques, exploring their underlying principles and applications in bioimaging.
space-bandwidth product bioimaging gigapixel imaging high resolution wide field of view 
Advanced Photonics
2021, 3(4): 044001

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!