A5013394127- Digital Holography and Microscopy
- Advanced X-ray Imaging Techniques
- Advanced Fluorescence Microscopy Techniques
- Optical measurement and interference techniques
- Image Processing Techniques and Applications
- Optical Coherence Tomography Applications
- Random lasers and scattering media
- Advanced Electron Microscopy Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Cell Image Analysis Techniques
- Electron and X-Ray Spectroscopy Techniques
- Advancements in Photolithography Techniques
- Advanced Optical Imaging Technologies
- Photoreceptor and optogenetics research
- Advanced Optical Sensing Technologies
- Orbital Angular Momentum in Optics
- Sparse and Compressive Sensing Techniques
- Optical Imaging and Spectroscopy Techniques
- Adaptive optics and wavefront sensing
- Optical Polarization and Ellipsometry
- Laser-Matter Interactions and Applications
- Medical Imaging Techniques and Applications
- Neuroscience and Neural Engineering
- Neural dynamics and brain function
- CCD and CMOS Imaging Sensors
University of California, Berkeley
2016-2025
Freie Universität Berlin
2025
Humboldt-Universität zu Berlin
2025
Charité - Universitätsmedizin Berlin
2025
University of California System
2019-2023
University of California, San Francisco
2020-2023
Center for Innovation
2023
Kyung Hee University
2023
Massachusetts Institute of Technology
2005-2022
Chan Zuckerberg Initiative (United States)
2019-2022
Fourier Ptychography is a new computational microscopy technique that achieves gigapixel images with both wide field of view and high resolution in phase amplitude. The hardware setup involves simple replacement the microscope's illumination unit programmable LED array, allowing one to flexibly pattern angles without any moving parts. In previous work, series low-resolution was taken by sequentially turning on each single data were then combined recover bandwidth much higher than allowed...
We demonstrate a compact, easy-to-build computational camera for single-shot three-dimensional (3D) imaging. Our lensless system consists solely of diffuser placed in front an image sensor. Every point within the volumetric field-of-view projects unique pseudorandom pattern caustics on By using physical approximation and simple calibration scheme, we solve large-scale inverse problem computationally efficient way. The caustic patterns enable compressed sensing, which exploits sparsity sample...
Realizing high resolution across large volumes is challenging for 3D imaging techniques with high-speed acquisition. Here, we describe a new method intensity and phase recovery from 4D light field measurements, achieving enhanced via Fourier ptychography. Starting geometric optics refocusing, incorporate retrieval correct diffraction artifacts. Further, dark-field images to achieve lateral beyond the limit of objective (5× larger NA) axial better than depth field, using low-magnification...
We demonstrate a new computational illumination technique that achieves large space-bandwidth-time product, for quantitative phase imaging of unstained live samples in vitro.Microscope lenses can have either field view (FOV) or high resolution, not both.Fourier ptychographic microscopy (FPM) is circumvents this limit by fusing information from multiple images taken with different angles.The result gigapixelscale image having both wide FOV and i.e. space-bandwidth product (SBP).FPM has...
We demonstrate a method for improving the accuracy of phase retrieval based on Transport Intensity equation by using intensity measurements at multiple planes to estimate and remove artifacts due higher order axial derivatives. suggest two similar methods correction, their ability accurate well beyond 'linear' range defocus that TIE imaging traditionally requires. Computation is fast efficient, sensitivity noise reduced many images.
Illumination-based differential phase contrast (DPC) is a imaging method that uses pair of images with asymmetric illumination patterns. Distinct from coherent techniques, DPC relies on spatially partially light, providing 2× better lateral resolution, optical sectioning and immunity to speckle noise. In this paper, we derive the 2D weak object transfer function (WOTF) develop quantitative reconstruction robust The effect spatial coherence studied experimentally, multiple-angle shown provide...
Fourier ptychography is a new computational microscopy technique that provides gigapixel-scale intensity and phase images with both wide field-of-view high resolution.By capturing stack of low-resolution under different illumination angles, an inverse algorithm can be used to computationally reconstruct the highresolution complex field.Here, we compare classify multiple proposed algorithms in terms experimental robustness.We find main sources error are noise, aberrations mis-calibration...
3D computer-generated holography uses a digital phase mask to shape the wavefront of laser beam into user-specified intensity pattern. Algorithms take target as input and compute hologram that generates it. However, arbitrary patterns are generally infeasible, so solutions approximate often sub-optimal. Here, we propose new non-convex optimization algorithm computes holograms by minimizing custom cost function is tailored particular applications (e.g., lithography, neural photostimulation)...
Optical methods capable of manipulating neural activity with cellular resolution and millisecond precision in three dimensions will accelerate the pace neuroscience research. Existing approaches for targeting individual neurons, however, fall short these requirements. Here we present a new multiphoton photo-excitation method, termed three-dimensional scanless holographic optogenetics temporal focusing (3D-SHOT), which allows precise, simultaneous photo-activation arbitrary sets neurons...
Understanding the mechanisms of perception, cognition, and behavior requires instruments that are capable recording controlling electrical activity many neurons simultaneously at high speeds. All-optical approaches particularly promising since they minimally invasive potentially scalable to experiments interrogating thousands or millions neurons. Conventional light-field microscopy provides a single-shot 3D fluorescence capture method with good light efficiency fast speed, but suffers from...
Optical diffraction tomography (ODT) reconstructs a sample's volumetric refractive index (RI) to create high-contrast, quantitative 3D visualizations of biological samples. However, standard implementations ODT use interferometric systems, and so are sensitive phase instabilities, complex mechanical design, coherent noise. Furthermore, their reconstruction framework is typically limited weakly scattering samples, thus excludes whole class multiple-scattering Here, we implement new RI...
This Roadmap article on three-dimensional integral imaging provides an overview of some the research activities in field imaging. The discusses various aspects including sensing 3D scenes, processing captured information, and display visualization information. paper consists a series 15 sections from experts presenting sensing, processing, displays, augmented reality, microscopy, object recognition, other applications. Each section represents vision its author to describe progress,...
Deep neural networks have emerged as effective tools for computational imaging, including quantitative phase microscopy of transparent samples. To reconstruct from intensity, current approaches rely on supervised learning with training examples; consequently, their performance is sensitive to a match and imaging settings. Here we propose new approach by using an untrained deep network measurement formation, encapsulating the image prior system physics. Our does not require any data...
Lensless imaging provides opportunities to design systems free from the constraints imposed by traditional camera architectures. Thanks advances in hardware, fabrication techniques, and new algorithms, researchers have recently developed lensless that are extremely compact, lightweight or able image higher-dimensional quantities. Here we review these recent describe principles their effects one should consider when developing using systems.
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.
Differential interference contrast (DIC) microscopy is an inherently qualitative phase-imaging technique. What obtained image with mixed phase-gradient and amplitude information rather than a true linear mapping of actual optical path length (OPL) differences. Here we investigate approach that combines the transport-of-intensity equation (TIE) DIC microscopy, thus improving direct visual observation. There little hardware modification computation noniterative. Numerically solving for...
We demonstrate 3D differential phase-contrast (DPC) microscopy, based on computational illumination with a programmable LED array. By capturing intensity images various angles generated by sequentially patterning an array source, we digitally refocus through depths via light field processing. The differences from taken at complementary are then used to generate DPC images, which related the gradient of phase. proposed method achieves simple, inexpensive optics and no moving parts....
We propose an alternative method for solving the Transport of Intensity equation (TIE) from a stack through-focus intensity images taken by microscope or lensless imager. Our enables quantitative phase and amplitude imaging with improved accuracy reduced data capture, while also being computationally efficient robust to noise. use prior knowledge how varies propagation in spatial frequency domain order constrain fitting algorithm [Gaussian process (GP) regression] estimating axial...
We show that phase objects may be computed accurately from a single color image in brightfield microscope, with no hardware modification. Our technique uses the chromatic aberration is inherent to every lens-based imaging system as contrast mechanism. This leads simple and inexpensive way of achieving single-shot quantitative recovery by modified Transport Intensity Equation (TIE) solution, allowing real-time traditional microscope.
Maintaining an in-focus image over long time scales is essential and nontrivial task for a variety of microscopy applications. Here, we describe fast, robust autofocusing method compatible with wide range existing microscopes. It requires only the addition one or few off-axis illumination sources (e.g., LEDs), can predict focus correction from single this illumination. We designed neural network architecture, fully connected Fourier (FCFNN), that exploits understanding physics to make...
Coded illumination can enable quantitative phase microscopy of transparent samples with minimal hardware requirements. Intensity images are captured different source patterns, then a nonlinear retrieval optimization reconstructs the image. The nature processing makes optimizing pattern designs complicated. traditional techniques for experimental design (e.g., condition number optimization, and spectral analysis) consider only linear measurement formation models reconstructions. Deep neural...
We propose an accurate and computationally efficient 3D scattering model, multi-layer Born (MLB), use it to recover the refractive index (RI) of thick biological samples. For inverse problems recovering complex field samples, weak models (e.g., first Born) may fail or underestimate RI, especially with a large contrast. Multi-slice (MS) beam propagation methods model multiple provide more realistic reconstructions; however, MS does not properly account for highly oblique scattering, nor...