A5090462900- Digital Holography and Microscopy
- Advanced X-ray Imaging Techniques
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Image Processing Techniques and Applications
- Optical measurement and interference techniques
- Photoacoustic and Ultrasonic Imaging
- Optical Imaging and Spectroscopy Techniques
- Random lasers and scattering media
- Optical Coherence Tomography Applications
- Advanced Electron Microscopy Techniques and Applications
- Non-Invasive Vital Sign Monitoring
- Advanced Optical Imaging Technologies
- Advanced Vision and Imaging
- Advanced Optical Sensing Technologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- AI in cancer detection
- Optical Polarization and Ellipsometry
- Astrophysical Phenomena and Observations
- Digital Imaging for Blood Diseases
- Orbital Angular Momentum in Optics
- CCD and CMOS Imaging Sensors
- Molecular Biology Techniques and Applications
- Laser-Plasma Interactions and Diagnostics
- Thermography and Photoacoustic Techniques
Duke University
2017-2025
Optics Technology (United States)
2021-2024
Tsinghua University
2021
Duke University Hospital
2021
Duke Medical Center
2021
Polish Academy of Sciences
2021
Institute of Physical Chemistry
2021
Pratt Institute
2019
Charité - Universitätsmedizin Berlin
2016-2018
Humboldt-Universität zu Berlin
2016-2017
This paper presents a technique to image the complex index of refraction sample across three dimensions. The only required hardware is standard microscope and an array LEDs. method, termed Fourier ptychographic tomography (FPT), first captures sequence intensity-only images under angularly varying illumination. Then, using principles from ptychography diffraction tomography, it computationally solves for structure in experimental demonstrates lateral spatial resolution 0.39 μm axial 3.7 at...
Fourier ptychographic microscopy (FPM) is a recently developed imaging modality that uses angularly varying illumination to extend system performance beyond the limit defined by its optical elements. The FPM technique applies novel phase retrieval procedure achieve both resolution enhancement and complex image recovery. In this letter, we compare data theoretical prediction phase-shifting digital holography measurement show acquired maps are quantitative artifact-free. We additionally...
The optical memory effect is a well-known type of tilt/tilt wave correlation that observed in coherent fields, allowing control over scattered light through thin and diffusive materials.Here we show the special case more general class combined shift/tilt correlations occurring media arbitrary geometry.We experimentally demonstrate existence these correlations, provide an analytical framework allows us to predict understand this scattering correlations.This "generalized effect" can be...
Fourier ptychography (FP) utilizes illumination control and computational post-processing to increase the resolution of bright-field microscopes.In effect, FP extends fixed numerical aperture (NA) an objective lens form a larger synthetic system NA.Here, we build microscope (FPM) using 40X 0.75NA synthesize NA 1.45.This achieved two-slit 335 nm at wavelength 632 nm.This closely adheres theoretical prediction is comparable measured (315 nm) associated with standard, commercially available...
Traditional imaging systems exhibit a well-known trade-off between the resolution and field of view their captured images. Typical cameras microscopes can either “zoom in” image at high-resolution, or they out” to see larger area lower resolution, but rarely achieve both effects simultaneously. In this review, we present details about relatively new procedure termed Fourier ptychography (FP), which addresses above produce gigapixel-scale images without requiring any moving parts. To...
The last decade has seen the development of a wide set tools, such as wavefront shaping, computational or fundamental methods, that allow to understand and control light propagation in complex medium, biological tissues multimode fibers. A vibrant diverse community is now working on this field, revolutionized prospect diffraction-limited imaging at depth tissues. This roadmap highlights several key aspects fast developing some challenges opportunities ahead.
This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit novel methods to explore brain health function. While first focused on neurophotonic tools mostly applicable animal studies, here, we highlight optical spectroscopy imaging relevant noninvasive human studies. We outline current state-of-the-art technologies software advances, most recent impact these neuroscience clinical applications, identify areas where innovation needed,...
We report an imaging scheme, termed aperture-scanning Fourier ptychography, for 3D refocusing and super-resolution macroscopic imaging. The reported scheme scans aperture at the plane of optical system acquires corresponding intensity images object. acquired are then synthesized in frequency domain to recover a high-resolution complex sample wavefront; no phase information is needed recovery process. demonstrate two applications scheme. In first example, we use ptychography platform hologram...
Abstract The rapid proliferation of intelligent systems (e.g., fully autonomous vehicles) in today's society relies on sensors with low latency and computational effort. Yet current sensing ignore most available a priori knowledge, notably the design hardware level, such that they fail to extract as much task‐relevant information per measurement possible. Here, “learned integrated pipeline” (LISP), including an end‐to‐end fashion both physical processing layers, is shown enable joint...
One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed. In this study, we propose a novel application of deep learning principles to reconstruct undersampled PAM images transcend trade-off We compared various convolutional neural network (CNN) architectures, selected Fully Dense U-net (FD U-net) model that produced best results. To mimic undersampling conditions practice, artificially downsampled...
Abstract We describe an encrypted communication principle that forms a secure link between two parties without electronically saving either of their keys. Instead, random cryptographic bits are kept safe within the unique mesoscopic randomness volumetric scattering materials. demonstrate how shared set patterned optical probes can generate 10 gigabits statistically verified pair 2 mm 3 objects. This is used to facilitate information-theoretically following modified one-time pad protocol....
In this work, we propose using camera arrays coupled with coherent illumination as an effective method of improving spatial resolution in long distance images by a factor often and beyond. Recent advances ptychography have demonstrated that one can image beyond the diffraction limit objective lens microscope. We demonstrate similar imaging system to range imaging. emulate array single attached XY translation stage. show appropriate phase retrieval based reconstruction algorithm be used...
We present a tomographic imaging technique, termed Deep Prior Diffraction Tomography (DP-DT), to reconstruct the 3D refractive index (RI) of thick biological samples at high resolution from sequence low-resolution images collected under angularly varying illumination. DP-DT processes multi-angle data using phase retrieval algorithm that is extended by deep image prior (DIP), which reparameterizes sample reconstruction with an untrained, generative convolutional neural network (CNN). show...
Ptychography is a powerful computational imaging technique that transforms collection of low-resolution images into high-resolution sample reconstruction. Unfortunately, algorithms currently solve this reconstruction problem lack stability, robustness, and theoretical guarantees. Recently, convex optimization have improved the accuracy reliability several related efforts. This paper proposes formulation ptychography problem. has no local minima, it can be solved using wide range algorithms,...
Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound. However, limited by the laser's repetition rate, state-of-the-art high-speed PAM technology often sacrifices spatial sampling density (i.e., undersampling) for increased speed over a large field-of-view. Deep learning (DL) methods have recently been used to improve sparsely sampled images; however, these require time-consuming pre-training training dataset with ground truth. Here, we propose use of deep...
We describe a simple and robust approach for characterizing the spatially varying pupil aberrations of microscopy systems.In our demonstration with standard microscope, we derive locationdependent transfer functions by first capturing multiple intensity images at different defocus settings.Next, generalized pattern search algorithm is applied to recover complex ~350 spatial locations over entire field-of-view.Parameter fitting transforms these into accurate 2D aberration maps.We further...
A new computational imaging technique, termed Fourier ptychographic microscopy (FPM), uses a sequence of low-resolution images captured under varied illumination to iteratively converge upon high-resolution complex sample estimate.Here, we propose mathematical model FPM that explicitly connects its operation conventional ptychography, common procedure applied electron and X-ray diffractive imaging.Our framework demonstrates ideal conditions, ptychography both produce datasets are...
Diffuse correlation spectroscopy (DCS) is a well-established method that measures rapid changes in scattered coherent light to identify blood flow and functional dynamics within tissue. While its sensitivity minute scatterer displacements leads number of unique advantages, conventional DCS systems become photon-limited when attempting probe deep into the tissue, which long measurement windows (∽1 sec). Here, we present high-sensitivity system with 1024 parallel detection channels integrated...