bluuebunny/crossref_metadata_2025 huggingface dataset:
Holographic LiDAR Projections with Brightness Control
Authors: Skirnewskaja Jana , Montelongo Yunuen , Sha Jinze , Wilkinson Timothy D.
Published: September 2022

Pixel by pixel brightness control was achieved in the 3D 4k holographic replay field results. High accuracy and brightness control is required for maps in military applications and real-time head-up displays.
Upgrading the conventional Pepper Ghost holographic device to a full-parallax three-dimensional tunnel display
Authors: Costello E. , Williamson R. E. , Isaac R. , Doblas A.
Published: September 2022

We have upgraded the Pepper ghost illusion to create two simultaneous three-dimensional (3D) holograms with parallax using four LCDs and two transparency sheets to be viewed from each side of the tunnel.
Common-path digital holographic microscope using a Fresnel biprism for imaging spatially dense samples
Authors: Hayes-Rounds C. , Isaac R. , Doblas A.
Published: September 2022

We present a common-path digital holographic microscope (DHM) using a Fresnel biprism suitable for spatially dense samples. The performance of the DHM system for dense samples has been validated calibrated phase images and biological samples.
Learning-based Quantitative Phase Imaging in Digital Holographic Microscopy: a comparison study between different models
Authors: Castaneda R. , Doblas A. , Trujillo C.
Published: September 2022

A performance comparison between three learning-based approaches for quantitative phase imaging in digital holographic microscopy is reported. We have compared the models' resulting noise level, phase discontinuities, and fitting and prediction times.
Two-Step Phase-Shifting Motionless Optical Scanning Holography
Authors: Yoneda Naru , Matoba Osamu
Published: September 2022

To reduce the number of measurements of motionless optical scanning holography (MOSH), a two-step phase-shifting technique is proposed. The numerical simulation results show the proposed method can reconstruct the comparable distribution compared with the four-step method.
Toward 3D Imaging with Ultracompact Structured Light System of Metasurface-Combining VCSELs
Authors: Shitrit Nir , Chang-Hasnain Connie J.
Published: September 2022

We report the alliance of vertical-cavity surface-emitting lasers and beam multiplier Dammann gratings for built-in structuring of lasing emission. Such ultracompact combined laser–metasurface systems open a new paradigm for three-dimensional imaging in small-footprint devices.
Background noise removal in intensity reconstructions of digital lensless holographic microscopy by fractional Fourier processing
Authors: Ortiz-Ocampo Jose , Trujillo Carlos
Published: September 2022

A background-noise removal method is presented for intensity reconstructions of Digital Lensless Holographic Microscopy via fractional Fourier processing. The method is firstly calibrated with a synthetic hologram and then validated with an intricate biological sample.
High-speed optical diffraction tomography for cell analysis and additive manufacturing metrology
Authors: He Yanping , Zhou Renjie
Published: September 2022

We demonstrate a high-speed optical diffraction tomography method with an unprecedented three-dimensional imaging speed of over 10,000 volumes per second and diffraction-limited resolution and apply it for high-throughput cell analysis and additive manufacturing metrology.
3D Imaging from Passive Scattered Light Using Plenoptic Information
Authors: Leger James , Hashemi Connor , Haupt Jarvis , Lin Di , Luo Tianqi , Sambasivan Abhinav , Sasaki Takahiro , Talghader Joseph , Meyer Gary , Tetzlaff Michael , Paxman Richard , Grossman Erich
Published: September 2022

We use plenoptic measurements of visible, infrared, and THz radiation to locate and image objects that are hidden from direct view by detecting their passive radiation scattered from rough surfaces.
An overview of continuous gesture recognition performance comparison using three-dimensional integral imaging and RGB-D sensors
Authors: Krishnan Gokul , Huang Yinuo , Joshi Rakesh , Connor Timothy O’ , Javidi Bahram
Published: September 2022

We overview the performance comparison of spatio-temporal continuous gesture recognition under degraded environments using 3D Integral imaging (InIm) and RGB-D sensors. The overviewed 3D Integral imaging-based approach exhibits substantial improvements over conventional 2D imaging and RGB-D sensors under degradations such as partial occlusion.
Computational integral imaging based on a novel miniature camera array
Authors: Avraham David , Samuels Guy , Jung Jae-Hyun , Peli Eli , Yitzhaky Yitzhak
Published: September 2022

A novel camera array, consisting of 3 by 7 miniature cameras, was developed for image and video capture using computational integral imaging. An object isolation algorithm was successfully demonstrated on the system’s output.
Miniature Fourier Lightfield Microscope
Authors: Galdón L. , Yun H. , Saavedra G. , Garcia-Sucerquia J. , Barreiro J.C. , Martínez-Corral M. , Sánchez-Ortiga E.
Published: September 2022

We report a miniature Fourier Lightfield Microscope, based on a cost-effective reversed surveillance camera lens and a contact field stop. The miniscope captures efficiently 3D information, in fluorescence or brightfield mode, in one single shot.
Stereo occlusion enhancement by the use of semantic information and monocular depth estimation
Authors: Oliva-García Ricardo , Jiménez-Gomis Miguel , Paz-Marcos Daniel , Velasco-Ocaña Miriam , Trujillo-Sevilla Juan M. , Rodríguez-Ramos José Manuel
Published: September 2022

Stereoscopic techniques have the disadvantage of occlusions in the mismatched pixels between images. Monocular depth estimation together with semantic features is pro posed to improve the depth map at non-coincident areas.
Overview of object detection in low light using deep learning and polarimetric three-dimensional integral imaging
Authors: Usmani Kashif , O’Connor Timothy , Krishnan Gokul , Javidi Bahram
Published: September 2022

We overview the previously published work for object detection in low light and occlusion using deep learning and polarimetric 3D integral imaging. 3D polarimetric integral imaging outperformed in object detection and classification in degraded environments.
An Open-Source Python library for Digital Holographic Microscopy Imaging
Authors: Castaneda R. , Trujillo C. , Doblas A.
Published: September 2022

We present a Python library that contains the needed computational implementations to numerically reconstruct holograms regardless of the optical configuration of the digital holographic microscope. The library has been validated using simulated and experimental holograms.
Image Phase Alignment Super-Sampling: a computational method for achieving super-resolution in macroscopic imaging
Authors: Caron James N.
Published: September 2022

Image Phase Alignment Super-Sampling is a method of processing slightly translated images. Simulations with a 16X scaling factor reveal the potential to obtain resolution well below the digital sampling limit of the original images.
Quantum correlation microscopy localising sub-diffraction emitters in 3D
Authors: Li Shuo , Greentree Andrew D.
Published: September 2022

By applying the second order correlation of Hanbury Brown and Twiss (HBT) measurements in the quantum microscopy system we build the theory approach of localising two single-photon emitters in three dimensions under diffraction limit. The results shine light on 3D diffraction unlimited microscopy.
Label-free Longitudinal Imaging of Cortical Myelin through Intact Mouse Skull Using Computational Conjugate Adaptive Optics
Authors: Hong Jin Hee , Kwon Yongwoo , Yoon Seokchan , Kang Sungsam , Lee Hojun , Choi Wonshik
Published: September 2022

We developed a reflection matrix microscopy using a 1.3-μm wavelength and computational adaptive optics. This could realize a longitudinal study of myelin in the mouse brain within 8 weeks up to cortical layer 4 through the intact skull.
Low-loss Tunable Beam Magnification with a Light-Shaping Diffuser and an Adaptive Lens
Authors: Imeri Arjent , Reza Syed Azer
Published: September 2022

We present a novel approach of obtaining low-loss collimated beams of tunable diameters by employing a tunable-focus lens pair and a light-shaping diffuser to achieve low-loss, active beam diameter tunability requiring no bulk optical motion.
Pupil Masking and Rotated Sub-apertures
Authors: Ribak Erez N. , Levine B. M.
Published: September 2022

We optimised the shapes of the sub-apertures both in aperture masking and for segmented telescopes, by improving their MTF, and allowing for easier alignment. With ellipses or ovoids, our lab model also showed better convergence.
Invariant Coded Aperture Design for Compressive Imaging
Authors: Bacca Jorge , Gelvez-Barrera Tatiana , Arguello Henry
Published: September 2022

This paper proposes the design of a coded aperture for compressive imaging whose quality performance is invariant to the decoder.
Autonomous Optical Sensor to Study the Evolution of Snow Density in Polar Environment
Authors: Lévesque-Desrosiers Félix , Bonilla William , Domine Florent , Thibault Simon
Published: September 2022

A system to study the evolution of snow density is presented here with an emphasis on the system itself and on the efforts to make a robust system for harsh environments. The metric to deduce the density of the snow is the measurement of the concentration of ambient air oxygen using a tunable diode laser spectroscopy technique: the first harmonic phase angle wavelength modulation spectroscopy. For greater robustness, the system is equipped with an embedded calibration system and is built for a smart power consumption.
Mid-infrared hydrocarbons characterization using open-path electro-optic dual-comb spectroscopy
Authors: Bonilla-Manrique Oscar E. , Khan Farid Ullah , Moreno-Oyervides Aldo , Martín-Mateos Pedro
Published: September 2022

A device for the characterization of hydrocarbons in the mid-infrared using a single-crystal waveguide module and open-path electro-optic dual-comb spectroscopy featuring easy configuration of its characteristics is presented.
Compact active hyperspectral imager based on tuneable short wave infrared supercontinuum laser
Authors: Kääriäinen Teemu , Dönsberg Timo
Published: September 2022

Compact active hyperspectral imager is presented. The imager is based on tuneable broadband near-infrared supercontinuum laser and monochromatic camera. The compact imager is capable of rapid hyperspectral imaging for ranges over 30 m.
Tunable erbium-doped fiber laser using a MZI based on CHCF
Authors: Herrera-Piad Luis A. , Marrujo-García Sigifredo , Hernández-Romano Ivan , May-Arrioja Daniel A. , Minkovich Vladimir P. , Torres-Cisneros Miguel , Durán-Pérez Oscar A. , González Felipe Velazquez
Published: September 2022

In this work, we present a wavelength-tunable erbium-doped fiber ring laser based on a Mach- Zehnder interferometer composed of a small piece of capillary hollow-core fiber (CHCF), and two small sections of multimode fibers (MMF).
Folic Acid-based Detection of Rare Circulating Cancer Cells by Polyaniline Coated U-bent Optical Fiber
Authors: Gupta Rajshree , Paul Debjani , Mukherji Soumyo
Published: September 2022

Detection of circulating tumor cells requires highly sensitive sensor. Folic acid was immobilized on polyaniline coated u-bent optical fiber. Cancer cells attached to folic acid on fiber surface resulting high absorbance change at 580-600 nm.
Simulation of the optical properties of seedless grapes including Henyey-Greenstein scattering
Authors: Jenne Sophie , Zappe Hans
Published: September 2022

A realistic model of seedless grapes for use in optical simulations is presented. The optical properties are determined using the inverse adding doubling technique leading to a grape model incorporating Henyey-Greenstein bulk scattering.
Calibration of a spectral imager with a widely tunable radiance source
Authors: van den Berg Steven , Dekker Paul , Otter Gerard , Páscoa Marcela Pelica , Dijkhuizen Niels
Published: September 2022

A spectral imager is calibrated for radiance with an uncertainty < 1 % using an SI-traceable narrow-band tunable radiance source, which is based on an optical parametric oscillator and an integrating sphere.
Real-Time Pitch Modification of Elastic Cellulose Nanocrystal Films
Authors: Frailey David , Sabo Ronald , Law Chiu
Published: September 2022

Elastic cellulose nanocrystal films allow for a controllable shift in the peak reflection wavelength when external mechanical stress is applied, due to the change in pitch length. Thus, allowing for real-time sensing.
Displacement Laser sensor based on a Mach-Zehnder Interferometer Constructed Via Concatenating Two Optical Fiber Tapers
Authors: Salceda-Delgado G. , Martinez-Rios A. , Selvas-Aguilar R. , Torres-Torres M. , Rodríguez-Carreón V. C. , López-Zenteno J. I.
Published: September 2022

A displacement laser sensor is presented. It consists of an erbium-doped fiber ring laser. The cavity losses are adjusted to emit a desired wavelength via bending the interferometer. A sensitivity of 1.63 nm/mm was obtained.
Real-time monocular 3D sensor using infrared speckle projection and an optimized 3D measurement method based on OpenCL acceleration
Authors: Yin Wei , Hu Yan , Feng Shijie , Zuo Chao , Chen Qian
Published: September 2022

For enhancing the performance of 3D imaging of speckle projection profilometry, in this paper, we propose a real-time monocular 3D sensor using infrared speckle projection and an optimized 3D measurement method based on OpenCL acceleration.
Training on System for Opto-Electrical Neural Network
Authors: Hu Zibo , Schwartz Russell L.T. , Solyanik-Gorgone Maria , Sorger Volker J
Published: September 2022

Neural Networks have been proven successful in many fields. Optical systems show potential for high-speed low-power Neural Networks. However, optical alignment is very demanding for wavelength-level coherent systems. Here we present Training-on-System methods to learn the imperfectly aligned system to increase the system’s performance.
An undercomplete autoencoder for denoising computational 3D sectional images
Authors: Dodda Vineela Chandra , Kuruguntla Lakshmi , Elumalai Karthikeyan , Muniraj Inbarasan , Chinnadurai Sunil
Published: September 2022

We developed a deep stacked undercomplete autoencoder (i.e., supervised) network to denoise the noisy 3D sectional images. Results demonstrate the feasibility of our proposed model in terms of peak-signal-to-noise ratio.
Determination of Hg in Biological Samples of Black Storks by Zeeman Atomic Absorption Spectrometry
Authors: Abola A. , Brike Z. , Revalde G. , Veilande R. , Rancane K. , Skudra A. , Strazds M.
Published: September 2022

In this paper mercury concentration in the biological samples of black storks, collected from nests in different regions of Latvia, was measured using Zeeman Atomic Absorption spectrometry. The concentration of mercury was up to 1800 ng/g in dependence of the location of nests and the sample type.
Flexible two-photon endomicroscope probe with double-cladding antiresonant fiber
Authors: Wang Conghao , Liu Huilan , Ma Jianrui , Cui Haodong , Tian Jingquan , Fu Qiang , Wu Runlong , Wang Aimin , Feng Lishuang
Published: September 2022

A flexible and fully integrated two-photon endomicroscope probe with double-cladding antiresonant fiber is reported. In-vivo mouse neural imaging demonstrates the capacity of the fiber-optic nonlinear endomicroscope platform.
Granulometry and fractal analysis for the detection of pathological changes in retinal OCT images
Authors: Sijilmassi Ouafa
Published: September 2022

This study uses granulometry analysis combined with fractal analysis to compare normal and pathological retinal OCT images. The results revealed that pathological retinae studied here had lower complexity compared to normal retinas.
3D Time-of-Flight Camera Based Face Mask Recognition Using Facial Contour and Artificial Neural Network
Authors: Wang Xiaoyan , Xu Tianxu , Zhang Yiwen , Xu Dongye , An Dong , Wang Qiang , Pan Zhongqi , Yue Yang
Published: September 2022

With the extracted facial contour from a ToF camera, we demonstrated a novel method to recognize whether a person is wearing a face mask and the mask type using artificial neural network, achieving 97.32% accuracy.
Quad-Band Metamaterial Absorber Based on Coplanar Cu Films for Refractive Index Sensing
Authors: Gill Baljit Singh , Gill Parvinder Kaur
Published: September 2022

We proposed gas sensor based on a simple configuration of a quad-band metamaterial absorber (MMA), the unit cell of the proposed sensor is designed with three metallic rods placed inside a square metallic ring, on the top of a grounded dielectric substrate. The proposed sensor has a sensitivity 170GHz/RIU.
Understanding Imaging Process of a Human Eye – A Report on ISCOSA Sponsored Student Outreach Event
Authors: Ghosh Sumit
Published: September 2022

Although the human eye is a simple optical system, it is a very complex device from a structural point of view. An outreach program was organized to illustrate the imaging process of a human eye.
Study of wavelength dependency on diffraction efficiency of volume holographic gratings based couplers in waveguide displays
Authors: Kaur Rajveer , Pensia Lavlesh , Singh Omendra , Das Bhargab , Kumar Raj
Published: September 2022

We study the influence of readout wavelength on the angle of incidence to achieve maximum coupled diffraction efficiency for a waveguide with holographically generated Bragg grating couplers.
High-throughput cell migration sensor based on lensless dark-field digital in-line holographic microscopy
Authors: Trusiak Maciej , Rogalski Mikołaj , Mirecki Bartosz , Arcab Piotr , Rogujski Piotr , Stanaszek Luiza
Published: September 2022

Lensless holographic microscopy provides large field-of-view as full camera size is used for data recording. We propose robust ways for high signal-to-noise-ratio hologram reconstruction enabling high-throughput sensing of cell migration.
Low-Cost Measurement of Water Quality Based on Scattering of Light
Authors: Zhang William , Jiang Jun
Published: September 2022

We demonstrated a low-cost method to measure the undissolved impurities in water and proposed the design for a portable device. This device can be quickly transferred onto assembly lines, significantly changing people’s lives in rural regions.
Aerosol Sauter mean diameter sensing method based on the optical scattering response of the combined particle volume-surface area
Authors: Mengxue Lin , Ming Zhu , Chengkun Li
Published: September 2022

We propose the measurement method for aerosol Sauter mean diameter based on the optical scattering response of the combined volume-surface area of particles to reduce the error caused by inconsistent integration in existing measurements.
A low-cost and compact device for complex optical filed imaging
Authors: Li Huayu , Sun Yunxu , Xu Xiaochuan , Ma Ting , Liu Zhengjun , Liu Wei
Published: September 2022

A novel computational imaging method for complex optical field is reported, which doesn’t require any pattern-like coding (illuminations or masks) to be involved in the optical computation modeling. It’s easy to make the optical implementation low-cost and compact without the use of spatial light modulators or digital micromirror devices.
Deep-learning-enhanced three-dimensional photoacoustic imaging using a linear transducer array
Authors: Zhang Huijuan , Xia Jun
Published: September 2022

We utilized deep learning techniques to improve the three-dimensional image resolution of photoacoustic tomography. The improved spatial resolution allows for better visualization of blood vasculature in human breast for cancer screening.
Realization of Motion Parallax through Realistic and Immersive Video Rendering
Authors: Lee Gwangsoon , Shin Hong-Chang , Jeong Jun-Young , Seo Jeonil
Published: September 2022

In this paper, we introduce the results of providing three-dimensionality and immersion in ordinary UHDTV by realizing the motion parallax from multi-view images in MIV (MPEG Immersive Video) atlas format.
Color Video Compression and Encryption with Hybrid Method
Authors: Hazer Abdurrahman , Yıldırım Remzi
Published: September 2022

A method including intermodulation, diffractive encoding and transformation algorithms has been developed to encode the video with sound in a single plane. A video consisting of 3600 color images is successfully encoded into the plane.
Space-Time DiffuserCam Video Reconstruction using Implicit Neural Representations
Authors: Chien Tiffany , Cao Ruiming , Liu Fanglin Linda , Waller Laura
Published: September 2022

We train space-time neural representations in an unsupervised, physics-based pipeline to reconstruct videos from DiffuserCam lensless imagers. Our method takes advantage of redundant information between frames, demonstrating improved quality when compared to frame-by-frame approaches.
Enhancing fluorescence microscopy performance with Richardson-Lucy based deep learning
Authors: Li Yue , Su Yijun , Liu Huafeng , Wu Yicong , Shroff Hari
Published: September 2022

We present a deep learning method which incorporates the Richardson-Lucy formula into a fully convolutional network and demonstrate its performance on cells, tissues, and embryos imaged with widefield-, confocal- light sheet-, and super-resolution microscopy.
A 1.26-inch 40.7 Mega-Pixel Photon-Counting Quanta Image Sensor with 0.35e- Read Noise and 95dB Single-Exposure Dynamic Range
Authors: Ma Jiaju , Robledo Dakota S. , Anzagira Leo , Zhang Dexue , Shahverdi Kaveh , Masoodian Saleh
Published: September 2022

A 1.26-inch optical-format, 40.7 mega-pixel Quanta Image Sensor (QIS) is reported in this paper. The sensor achieves reliable photon-counting capability with a deep-sub-electron read noise of 0.35e- rms at 20C junction temperature and a 95dB single-exposure dynamic range using a dual-gain readout. This large-format and high-resolution QIS is an ideal solution for the ultra-low-light and high-dynamic-range (HDR) imaging in high-performance imaging applications such as scientific, microscopy, industrial, and professional cinematography applications. It may also find its use in consumer imaging applications like smartphones.
Mid-infrared Incoherent Three-Dimensional Imaging Using Lucy-Richardson-Rosen Algorithm
Authors: Anand Vijayakumar , Han Molong , Maksimovic Jovan , Ng Soon Hock , Katkus Tomas , Klein Annaleise , Bambery Keith R. , Tobin Mark J. , Vongsvivut Jitraporn , Juodkazis Saulius
Published: September 2022

Two computational reconstruction methods namely the Lucy-Richardson algorithm and non-linear reconstruction have been combined to develop Lucy-Richardson-Rosen algorithm. This new algorithm has been used to convert a two-dimensional infrared spectral map into a three-dimensional image.
KAOS, a multipurpose active optics system for EUV/Soft X-rays
Authors: Manfredda Michele , Fava Claudio , Gerusina Simone , Gobessi Riccardo , Mahne N , Raimondi Lorenzo , Simoncig Alberto , Zangrando Marco
Published: September 2022

KAOS is an active Kirkpatrick-Baez mirror, developed at the FERMI Free Electron Laser (Trieste, IT) operating in the 1-70 nm spectral range. It combines in-house developed opto-mechanical design, innovative simulation software and commercial wavefront diagnostics to provide reliable focusing and beam shaping capabilities to the end stations.
High spectral and temporal resolution gas phase studies with quantum cascade laser dual-comb spectroscopy
Authors: Mangold Markus , Hayden Jakob , Allmendinger Pitt , Gianella Michele , Hugi Andreas
Published: September 2022

We present a step-sweep interleaving mode of quantum cascade laser dual-comb spectroscopy. The frequency accuracy and resolution are accurately characterized. The microsecond time-resolution allows to study the dynamics of cold molecular beams.
Noise Reduction in Optical Coherence Tomography Volumes for Improved 3D Visualization
Authors: Jovanov Ljubomir , Philips Wilfried
Published: September 2022

In this paper we present a new volumetric method for noise reduction in Optical Coherence Tomography volumes which operates on sub-volumes to improve the quality of rendered 3D volumes. In order to remove noise uniformly, while preserving important details, the proposed algorithm simultaneously observes the estimated amount of noise and the sharpness measure, and iteratively enhances the volume until stopping criterion is met. We evaluate the proposed method in terms of different performance measures and visually, by observing visualizations of OCT volumes on an auto-stereoscopic 3D screen.
Detecting DNA-Ligand Electrostatic Interactions With a FRET-Based Probe
Authors: Murade Chandrashekhar U. , Shubeita George T.
Published: September 2022

DNA-ligand interactions are dominated by electrostatics as DNA is a highly charged molecule at physiological conditions. Here, we present a FRET-based sensor which can optically report on these interactions between DNA and charged ligands.
Near-infrared hyperspectral imager with an integrated fibre calibration channel
Authors: Graham Christopher , Girkin John M. , Bourgenot Cyril
Published: September 2022

The design and demonstration of a compact, lightweight downwelling irradiance sensor integrated into a custom near-infrared hyperspectral imager built for use on a UAV during patchy cloud conditions for remote soil moisture content sensing.
Low-Frequency Raman and THz Time-Domain Spectroscopy of Prehnite and Turquoise: Linking structure to stability
Authors: Bajaj Naini , Bandyopadhyay Aparajita , Sengupta Amartya
Published: September 2022

Prehnite and Turquoise were studied in low-frequency using Raman and THz-TDS spectroscopy. The results indicate the structural properties through the unique vibrational modes of the mineral, which relate to their stability in metamorphic rocks.
Real-Time Quantitative Mineral Analysis (QMA) using Artificial Intelligence (AI) Enabled LIBS Sensor for Bulk Ore Sorting on Mining Conveyors
Authors: Gagnon Daniel , Vanier Francis , Haddad Josette El , de Lima Filho Elton Soares , Hamel Antoine , Padioleau Christian , Boismenu Francis , Beauchesne André , Bouchard Paul , Vaillancourt Tony , Sabsabi Mohamad , Blouin Alain , Plugatyr Andriy , Harhira Aïssa
Published: September 2022

Crushing and grinding rocks are energy-intensive. This paper shown the development pathway and the performances of an unprecedented sensor dedicated to run-of-mine ore characterization for bulk sorting to reduce the amount of waste rocks processed.
Palm-sized mid-infrared (LWIR) passive spectroscopic imaging with uncooled microbolometer arrays for non-invasive blood glucose sensors
Authors: Ishimaru Ichiro , Kitazaki Tomoya , Morimoto Yusuke , Yamashita So , Tahara Shiori , Anabuki Daichi , Wada Kenji , Nishiyama Akira
Published: September 2022

We are aiming at realization of non-invasive blood glucose sensors by the proposed mid-infrared (LWIR: Long Wavelength Infrared) passive spectroscopic imager. From human bodies, mid-infrared lights, whose wavelength are around 10µm, are emitted in accordance with Plank’s law. We confirmed the specific emission spectral peaks (@9.65µm etc.) derived from glucose components inside of human arms. These feasibility studies suggested the realization of measuring glucose concentrations inside of human bodies only by holding hands or arms on sensors like tablet thermometers. The completely new concept for non-invasive blood glucose sensors is proposed.
PULPOS: A multi-purpose adaptive optics test bench for testing advanced wavefront sensing concepts
Authors: Tapia Jorge , Pedreros Felipe , Romero Bastián , Weinberger Camilo , Vera Esteban
Published: September 2022

We present the design and implementation challenges of PULPOS, a multi-purpose adaptive optics test bench recently built at our lab in Chile to test and demonstrate novel wavefront sensing concepts.
Assessment of adaptive optics corrected optical links availability from integrated turbulence parameters by machine learning
Authors: Klotz Emile , Lefebvre Sidonie , Védrenne Nicolas , Musso Christian , Poulenard Sylvain , Coret Laurent , Louis Alexis , Fusco Thierry
Published: September 2022

We investigate the possibility to evaluate the fading statistics, and thus the availability of an adaptive optics corrected satellite to ground optical link using only four integrated turbulence parameters that are easily measured.
FAST Simulation of Ground-Space Optical Links with Adaptive Optics
Authors: Farley O. J. D. , Townson M. J. , Osborn J.
Published: September 2022

FAST allows for the rapid simulation of ground-space optical links with AO pre/post compensation. It employs an analytical AO model and enables link characterisation up to 200 times faster than Monte Carlo wave-optical simulations.
Turbulence Characterization of a Free Space Optical Communication Link for High Performance Adaptive Optics Control
Authors: Torres J. S. , Reeves A. P. , Kulcsár C. , Raynaud H.-F. , Calvo R. Mata , Kelemu H. F.
Published: September 2022

Optimal control has been shown to improve astronomical adaptive optics, and is considered in free space optical communication, where signal stability is crucial. Disturbance behavior is characterized, turbulence models are defined and simulations are performed.
LSFM volumetric imaging with a tunable lens and adaptive optics
Authors: Liu Yang , Liu Bingxi , Green John E. , Duffy Carly , Lauderdale James D. , Kner Peter
Published: September 2022

We present a light sheet microscope incorporating an electrically tunable lens and adaptive optics for volumetric imaging of zebrafish larvae, optimized for an extended field of view with a high-NA objective lens.
Three-dimensional adaptive super-resolution imaging deep through multicellular thick tissues
Authors: Lin Ruizhe , Kner Peter
Published: September 2022

By applying Adaptive Optics in Structured Illumination Microscopy, we developed an adaptive three-dimensional super-resolution microscopy system and demonstrate three-dimensional super-resolution aberration-free imaging deep through multicellular thick tissues with improved image quality and fidelity.
Want to improve your cascade 2-stage AO system? Turn it into a high-performance woofer-tweeter!
Authors: Raynaud Henri-François , Kulcsár Caroline , Cerpa-Urra Nelly , Kasper Markus
Published: September 2022

2-stage cascade AO (CAO) systems enable to improve wavefront correction for high-contrast exoplanet imaging. However, 1st stage residuals entering the 2nd stage exhibit see-saw high-frequency oscillations. We propose a compensation procedure which turns the CAO into a woofer-tweeter configuration, thus significantly improving overall performance.
Qualification and Optimization of Helical Phase Pulses in PW-Class Laser Systems
Authors: Iancu Vicentiu , Talposi Maria , Popa Stefan , Ghenuche Petru , Cernaianu Mihail , Doria Domenico , Cojocaru Gabriel , Dancus Ioan , Ungureanu Razvan , Chalus Olivier , Ursescu Daniel
Published: September 2022

Optical vortices, generated by a spiral phase plate, were propagated over long distances and focused in the PW experimental area. A deformable mirror was used to correct the low-order distortions, obtaining a doughnut focus.
Deformable Phase Plate – a New Technology for Plug-and-Play Adaptive Optics
Authors: Rajaeipour Pouya
Published: September 2022

Deformable Phase Plate is the refractive counterpart of Deformable Mirrors. Its unique properties make it a compelling addition to the contemporary Adaptive Optics (AO) tool-box that is filled with well-matured reflective solutions and conceives plug-and-play AO systems possible.
Volumetric Spatial Gating of Multiple Scattering in Deep Tissue Imaging via Acousto-optic Interaction
Authors: Kim Junghoon , Ko Hakseok , Jang Mooseok , Hong Jin Hee , Choi Wonshik
Published: September 2022

We present a spatial gating of volumetric multiple scattering noises inside a scattering medium. This technique is realized by confocal detection with acousto-optic modulation, which enhances the visibility of ballistic signals and enables noninvasive bioimaging.
Restoring Single-Molecule Localizations with Wavefront Sensing Adaptive Optics for Deep-Tissue Super-Resolution Imaging
Authors: Park Sanghyeon , Jo Yonghyeon , Kang Minsu , Hong Jin Hee , Shim Sang-Hee , Choi Wonshik
Published: September 2022

We measured the sample-induced aberration using reflectance signal without resorting to fluorescence detection and corrected it. It enabled deep-tissue single-molecule localization microscopy even when the aberration was too severe to initiate localization.
Adaptive Optical Coherent Raman Scattering Microscopy
Authors: Lim Jong Min , Yoon Seokchan , Kim Seho , Choi Youngjin , Hong Jin Hee , Choi Wonshik , Cho Minhaeng
Published: September 2022

We integrate the wavefront optimization technique with the coherent Raman scattering (CRS) microscopy to enhance signal contrast and penetration depth. The vibrational imaging of myelin inside the mouse brain through cranial bones is domonstrated.
Differentiable Optics for Wavefront Sensing in Two-photon Fluorescence Microscopy
Authors: Vishniakou Ivan , Seelig Johannes D.
Published: September 2022

We develop a differentiable physics approach for adaptive optics in fluorescence microscopy. Image formation in the microscope is described using a vectorial Debye-Wolf model. Unknown sample aberrations are found and corrected by adjusting model parameters using gradient-based optimisation and only a small number of aberrated images.
Deconvolution Procedure to Improve Second Harmonic Generation Images of the Human Living Eye
Authors: Martínez-Ojeda Rosa M. , Mugnier Laurent M. , Artal Pablo , Bueno Juan M.
Published: September 2022

An unsupervised deconvolution method has been proposed to enhance the quality and resolution of second harmonic generation images of the living human cornea and sclera acquired with a compact custom multiphoton microscope.
Revisiting the spectral bandwidth limit in ptychography
Authors: Penagos Molina Daniel S. , Loetgering Lars , Eschen Wilhelm , Limpert Jens , Rothhardt Jan
Published: September 2022

We present a detailed analysis of the influence of the spectral bandwidth in ptychography. By tailoring the divergence of the illumination, very large spectral bandwidths can be treated as monochromatic.
High-resolution wavefront sensing of multi-spectral high-harmonic generation sources using ptychography
Authors: Du Mengqi , Liu Xiaomeng , Pelekanidis Antonios , Zhang Fengling , Loetgering Lars , Konold Patrick E. , Porter Christina L. , Smorenburg Peter , Eikema Kjeld S.E. , Witte Stefan
Published: September 2022

We perform high-resolution multi-spectral wavefront sensing on extreme ultraviolet sources produced by high-harmonic generation processes. Using ptychography, we show spectrally resolved complex-valued beam reconstructions for eight harmonics simultaneously, with a spatial resolution of 1 µm.
Using multiplexed broadband ptychography in characterizing EUV light from high harmonic generation
Authors: Schmidt David , Goldberger David , De Las Heras Alba , Hernández-García Carlos , Lei Yuhao , Kazansky Peter , Adams Daniel , Durfee Charles
Published: September 2022

Using multiplexed broadband ptychography, we characterize the EUV light from high-order harmonic generation. The method allows for spectrally resolved complex beam profiles to be imaged for different harmonic outputs without grating dispersion.
Multi-purpose high-resolution nanoscale table-top ptychography at 13.5 nm
Authors: Liu C. , Eschen W. , Loetgering L. , Schuster V. , Klas R. , Kirsche A. , Berthold L. , Iliou A. , Steinert M. , Pertsch T. , Hillmann F. , Krause M. , Limpert J. , Rothhardt J.
Published: September 2022

We present our latest results on table-top ptychographic imaging at 13.5 nm. An overview and the identification of interesting areas are achieved with infrared illumination. XUV illumination provides sub-20-nm-resolution amplitude- and phase images.
Photon-starved X-ray Ptychographic Imaging using Spatial Pyramid Atrous Convolution End-to-end Reconstruction (PtychoSPACER)
Authors: Wu Ziling , Kang Iksung , Zhou Tao , Coykendall Van , Ge Baoliang , Cherukara Mathew J. , Barbastathis George
Published: September 2022

We realize low-dose X-ray ptychography via Spatial Pyramid Atrous Convolution End-to-end Reconstruction (PtychoSPACER), which offers nanometer-scale resolution on the complex index of refraction for spatially extended samples non-destructively and reduces the risk of radiation damage.
SVD Entropy Indicates Coded Diffraction Generalized Reconstruction Accuracy
Authors: Perry Altai , Weng Xiaojing , Muminov Baurzhan , Vuong Luat T.
Published: September 2022

We study encoded diffraction with shallow neural networks using singular value decomposition entropy (H
SVD
) to measure image span. Higher-H
SVD
synthetic training images are learned more slowly; their generalized models generally attain higher reconstruction accuracy.
Adversarial Sensing for Sub-Diffraction Imaging
Authors: Feng Brandon Y. , Metzler Christopher A.
Published: September 2022

We propose a self-supervised learning-based framework for reconstructing images from partially unknown and non-linear measurements. We apply our technique, which is based on matching the distributions of real and simulated observations, to long-range Fourier Ptychography.
Open-source Algorithm for Objects 4D Tracking in Lensless Digital In-line Holographic Microscopy
Authors: Rogalski Mikołaj , Winnik Julianna , Picazo-Bueno Jose Angel , Zdańkowski Piotr , Micó Vicente , Trusiak Maciej
Published: September 2022

We present a fast and robust algorithm for lensless microscopy object 4D tracking called the DarkTrack. We validate the tracking accuracy on the simulated datasets and show the experimental results of tracking live spermatozoids.
Observing Vorticella Feeding Currents with Digital In-Line Holography Particle Tracking
Authors: Kabuli Leyla , van Oorschot Brett Klaassen , Pepper Rachel , Waller Laura
Published: September 2022

We present a new application of compressive digital in-line holography for observing feeding currents of aquatic organisms (Vorticella). Our particle tracking system combines compressive holography and open-source tracking software, producing three-dimensional trajectories from holographic video.
Phase Retrieval with Complexity-Guidance in Coherent X-ray Imaging
Authors: Butola Mansi , Khare Kedar
Published: September 2022

We propose complexity-guided relaxed averaged alternating reflection (CG-RAAR) algorithm for coherent X-ray diffraction. The CG-RAAR algorithm is self-consistent and requires significantly reduced number of trial solutions for the averaging process required for reliable solution recovery.
Transport of Intensity Equation based Phase Retrieval Using Deep Transfer Learning
Authors: Wu Xiaofeng , Shanmuagvel Sibi Chakravarthy , Zhu Yunhui
Published: September 2022

High-fidelity Quantitative phase imaging (QPI) has been achieved via deep learning, but building large data set is expensive and time-consuming. We propose a novel framework for transport of intensity equation based phase retrieval using transfer learning. We show efficacy of the proposed method with accelerated training and increased accuracy.
Low-photon holographic phase retrieval with Poisson-Gaussian denoising
Authors: Barmherzig David A. , Eickenberg Michael
Published: September 2022

A practical algorithm is presented for low-photon holographic phase retrieval given measurements corrupted by Poisson-Gaussian noise. This framework utilizes a maximum likelihood estimation method which can be enhanced via a deep decoder neural network.
Imaging Beyond 100 Transport Mean Free Paths using Variational Autoencoding
Authors: Radford Jack , Nerenberg Samuel , Shvarts Andrei , Kaczmarcyk Lukasz , Faccio Daniele
Published: September 2022

Imaging in the highly diffuse regime has previously been demonstrated up to 80 transport mean free paths (TMFPs). We show the potential of a variational auto-encoding framework to image beyond 100 TMFPs.
Event-based automatic focusing under photon-limited conditions
Authors: Ge Zhou , Wei Haoyu , Lam Edmund Y.
Published: September 2022

We present an efficient autofocusing method using the event sensor. Taking advantages of the event sensing with a high dynamic range, our method could achieve rapid autofocusing under photon-limited conditions.
Silicon Photonics for LiDAR, Augmented Reality, and Beyond
Authors: Notaros Jelena
Published: September 2022

Recent integrated optical phased array architectures, results, and applications will be reviewed, including beam steering for LiDAR, near-field optical manipulation, and holographic displays for augmented reality.
High-Resolution Display Screen as Illumination for Fourier Ptychographic Microscopy
Authors: Lee Kyungwon , Lee Kyung Chul , Jung Jaewoo , Chae Hyesuk , Lee Seung Ah
Published: September 2022

We propose a technique for using a display screen as a light source for Fourier Ptychographic Microscopy (FPM). This method easily modulates multiple patterns to cover the entire sensor and build a compact optical system.
Real-time FPM reconstruction and misalignment correction by numerical Multi-Look and GAN
Authors: Bianco V. , Priscoli M. Delli , Valentino M. , Pirone D. , Behal J. , Zanfardino G. , Memmolo P. , Bardozzo F. , Miccio L. , Ciaparrone G. , Tagliaferri R. , Ferraro P.
Published: September 2022

Fourier Ptychographic Microscopy (FPM) is a powerful bioimaging tool. Here we show numerical Multi-Look FPM and GAN-based reconstruction of biological samples to get rid of system misalignments and hone the FPM use in clinical practice.
Multispectral mosaic design using a sphere packing filter array
Authors: Alvarado Alejandro , Díaz Nelson , Meza Pablo , Guzmán Felipe , Vera Esteban
Published: September 2022

We propose an optimal distribution of spectral filters in a multispectral filter array based on packing congruent spheres in a 3D-euclidean space, promoting uniformity in the sensing of the 3D-datacube while leading to improved reconstructions.
Automatic Lens Design based on Differentiable Ray-tracing
Authors: Yang Xinge , Fu Qiang , Heidrich Wolfgang
Published: September 2022

We propose a fully differentiable optical design method enabled by curriculum learning. Preliminary results show that our framework is suitable to solve highly non-convex problems like cellphone lens design.
Migration from Diffractive to Refractive Mask for High Quality Lensless Imaging
Authors: Reshetouski Ilya , Tadano Ryuichi , Oyaizu Hideki , Sawano Ryosuke , Murayama Jun
Published: September 2022

Lensless imaging with diffractive masks suffers from strong wavelength and angular dependency of their point spread function. We demonstrate that substituting a diffractive mask with an equivalent refractive free-form surface helps to improve imaging quality.
Array Camera Sampling Optimization
Authors: Hu Minghao , Brady David J.
Published: September 2022

We consider sampling system optimization in the context of deep-learning-based data fusion for dynamic high depth of field events, such as baseball. We show that multiscale spatio-spectral-focal-temporal sampling is ideal.
Fabrication of Integrated Lensless Cameras via UV-Imprint Lithography
Authors: Lee Yujin , Chae Hyesuk , Lee Kyung Chul , Baek Nakkyu , Kim Taeyoung , Jung Jaewoo , Lee Seung Ah
Published: September 2022

We present a design and construction of a lensless camera where the phase-modulating mask is integrated directly on a sensor using the UV-imprint lithography. Our method delivers a rigid device with a small form-factor.
Disparity Reconstruction from Light Field’s Multidirectional EPIs with Kalman filter
Authors: Liu Chang , Qiu Jun
Published: September 2022

We modeled the generation of multidirectional Epipolar Plane Images (EPIs) as a linear dynamical system. Then we proposed a framework of disparity reconstruction from the multidirectional EPIs with Kalman filter to achieve anti-occlusion and anti-noise.
All-Optical Computation of an Arbitrary Linear Transform Using Diffractive Networks
Authors: Kulce Onur , Mengu Deniz , Rivenson Yair , Ozcan Aydogan
Published: September 2022

We show that an arbitrary complex-valued linear transform can be performed all-optically using diffractive neural networks that are trained using deep learning.
Field-of-view extension and XY-drift correction in microscopy for large samples
Authors: Silva Alejandro , Arocena Miguel , Alonso Julia R.
Published: September 2022

We propose a method for sample XY-drift correction by means of feature detection and correlation analysis along with field-of-view extension for large sample images taken through a microscope with a motorized XY stage
Label-free Computational Conjugate Adaptive Optical Imaging of Cortical Myelin through Intact Skull
Authors: Kwon Yongwoo , Hong Jin Hee , Yoon Seokchan , Kang Sungsam , Lee Hojun , Choi Wonshik
Published: September 2022

We implemented a computational conjugate adaptive optical microscopy system using a 1.3-μm wavelength laser and conducted in vivo imaging of a 3-to 10-week-old mouse brain with an intact skull and observed myelination process.
Computational cannula-based microscopy for brain imaging
Authors: Guo Ruipeng , Menon Rajesh
Published: September 2022

With Machine Learning (ML) algorithms, we experimentally demonstrated deep imaging inside mice brains with cellular-level resolution using computational cannula microscopy. Multi-ANNs were used for the prediction of brain images.
Spatial-temporal compressive imaging using an unfolding network
Authors: Zhao Dingaoyu , Lam Edmund Y. , Ke Jun
Published: September 2022

We propose an unfolding network GapUNet for spatial-temporal compressive imaging. Simulation and optical experiments demonstrate the network performance using compression ratios of 128: 1 and 16: 1. The mean PSNR of the reconstructed objects is higher than 29dB.
Data-Driven Optical Coding Optimization in Computational Imaging
Authors: Arguello Henry , Bacca Jorge
Published: September 2022

We summarize the latest advances in optical coding design in computational imaging using end-to-end optimization, including essential aspects such as fully differentiable modeling, parameterization of optical elements, and regularization to achieve a custom optical behavior.
High Throughput Quantitative Raman Signal Extraction from Broadband Spectroscopic Coherent Anti-Stokes Raman Scattering (CARS) Hyperspectral Imagery
Authors: Camp Charles H. , Bender John S. , Lee Young Jong
Published: September 2022

Extraction of quantitative Raman signatures from BCARS spectra is fraught with challenges in computational time and spectral distortions. Here we present new linear methods that are capable of real-time performance and with significantly reduced error.
Single-shot polarization sensitive spatiospectral characterization of ultrafast pulse-beams
Authors: Goldberger David , Barolak Jonathan , Bevis Charles S. , Ivanic Bojana , Schmidt David , Lei Yuhao , Kazansky Peter , Mancini Giulia F. , Durfee Charles G. , Adams Daniel E.
Published: September 2022

We demonstrate the first reference-free, single-shot, spatiospectral characterization of multiple polarization states in an ultrafast pulse-beam using broadband single-shot ptychography (BBSSP), with application to complex shaping or for analysis of nonlinear dynamics.
Computational Spectral Ghost Imaging based on Time-to-Frequency Mapping
Authors: Zhao Jianing , Tang Zhenzhou , Pan Shilong
Published: September 2022

By using the dispersion Fourier transformation, a novel computational spectral ghost imaging system based on time-to-frequency mapping is proposed, which can simultaneously improve the spectral detection resolution and reduce the modulation times.
Optical Fiber-based Near-infrared Light Source for Optical-resolution Photoacoustic Microscopy of Theragnosis Agent
Authors: Cho Soon-Woo , Park Sang Min , Kim Chang-Seok
Published: September 2022

Cancer theragnosis is a promising treatment technology with a cancer diagnosis and therapy abilities. In this research, we adopted a normal dispersion regime to the fiber-based light source to generate the microjoule-scale of near-infrared (NIR) light for targeting the theragnosis agent.