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Quantized Fourier ptychography with binary images from SPAD cameras

Photonics Research 2021年第10期9卷 1958-1969页

作者： XI YANG PAVAN CHANDRA KONDA SHIQI XU LIHENG BIAN roarke horstmeyer Department of Biomedical Engineering Duke UniversityDurhamNorth Carolina 27708USA School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China Department of Physics Duke UniversityDurhamNorth Carolina 27708USA Department of Electrical and Computer Engineering Duke UniversityDurhamNorth Carolina 27708USA

Recently developed single-photon avalanche diode(SPAD)array cameras provide single-photon sensitivity and picosecond-scale time gating for time-of-flight measurements,with applications in LIDAR and fluorescence life-time *** compared to standard image sensors,SPAD arrays typically return binary intensity measurements with photon time-of-arrival information from fewer ***,we study the feasibility of implementing Fourier ptychography(FP),a synthetic aperture imaging technique,with SPAD array cameras to reconstruct an image with higher resolution and larger dynamic range from acquired binary intensity *** achieving this goal,we present(1)an improved FP reconstruction algorithm that accounts for discretization and limited bit depth of the detected light intensity by image sensors,and(2)an illumination angle-dependent source brightness adaptation strategy,which is ***,these provide a high-quality amplitude and phase object reconstruction,not only from binary SPAD array intensity measurements,but also from alternative low-dynamic-range images,as demonstrated by our simulations and proof-of-concept experiments.

关键词： return Together binary

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Tensorial tomographic Fourier ptychography with applications to muscle tissue imaging

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Advanced Photonics 2024年第2期6卷 50-60页

作者： Shiqi Xu Xi Yang Paul Ritter Xiang Dai Kyung Chul Lee Lucas Kreiss Kevin C.Zhou Kanghyun Kim Amey Chaware Jadee Neff Carolyn Glass Seung Ah Lee Oliver Friedrich roarke horstmeyer Duke University DurhamNorth CarolinaUnited States Friedrich-Alexander University ErlangenGermany UC San Diego La JollaCaliforniaUnited States Yonsei University SeoulRepublic of Korea UC Berkeley BerkeleyCaliforniaUnited States Duke University Medical Center DurhamNorth CarolinaUnited States

We report tensorial tomographic Fourier ptychography(T^(2)oFu),a nonscanning label-free tomographic microscopy method for simultaneous imaging of quantitative phase and anisotropic specimen information in *** upon Fourier ptychography,a quantitative phase imaging technique,T^(2)oFu additionally highlights the vectorial nature of *** imaging setup consists of a standard microscope equipped with an LED matrix,a polarization generator,and a polarization-sensitive *** tensors of anisotropic samples are computationally recovered from polarized intensity measurements across three *** demonstrate T^(2)oFu’s efficiency through volumetric reconstructions of refractive index,birefringence,and orientation for various validation samples,as well as tissue samples from muscle fibers and diseased heart *** reconstructions of healthy muscle fibers reveal their 3D fine-filament structures with consistent ***,we demonstrate reconstructions of a heart tissue sample that carries important polarization information for detecting cardiac amyloidosis.

关键词： computational imaging three-dimensional imaging phase retrieval microscopy polarization-sensitive imaging labelfree imaging

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Digital staining in optical microscopy using deep learning-a review

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PhotoniX 2023年第1期4卷 64-95页

作者： Lucas Kreiss Shaowei Jiang Xiang Li Shiqi Xu Kevin C.Zhou Kyung Chul Lee Alexander Mühlberg Kanghyun Kim Amey Chaware Michael Ando Laura Barisoni Seung Ah Lee Guoan Zheng Kyle J.Lafata Oliver Friedrich roarke horstmeyer Department of Biomedical Engineering Duke UniversityDurhamNC 27708USA Institute of Medical Biotechnology Friedrich-Alexander University(FAU)ErlangenGermany Department of Biomedical Engineering University of ConnecticutMansfieldConnecticutUSA Department of Radiation Physics Duke UniversityDurhamNC 27708USA Department of Electrical Engineering&Computer Sciences University of CaliforniaBerkeleyCAUSA School of Electrical&Electronic Engineering Yonsei UniversitySeoul 03722Republic of Korea Google Inc.Mountain ViewCA 94043USA Department of Pathology Duke UniversityDurhamNC 27708USA

Until recently,conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics,fundamental research and *** 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 ***-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 *** 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 *** 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.

关键词： Deep learning Digital staining Optical microscopy Virtual staining In-silica Pseudo-H&E Virtual fluorescence Generative models Image translation

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