A5001045254- Advanced Fluorescence Microscopy Techniques
- Digital Holography and Microscopy
- Random lasers and scattering media
- Cell Image Analysis Techniques
- Microfluidic and Bio-sensing Technologies
- Optical Coherence Tomography Applications
- Photoacoustic and Ultrasonic Imaging
- Near-Field Optical Microscopy
- Optical and Acousto-Optic Technologies
- Image Processing Techniques and Applications
- Optical measurement and interference techniques
- Optical Polarization and Ellipsometry
- Advanced Optical Sensing Technologies
- Advanced Optical Imaging Technologies
- Advanced X-ray Imaging Techniques
University of California, Berkeley
2019-2023
University of California System
2021
University of California, Los Angeles
2018-2019
University of California, San Francisco
2019
We report a deep learning-enabled field-portable and cost-effective imaging flow cytometer that automatically captures phase-contrast color images of the contents continuously flowing water sample at throughput 100 mL/h. The device is based on partially coherent lens-free holographic microscopy acquires diffraction patterns micro-objects inside microfluidic channel. These are reconstructed in real time using learning-based phase-recovery image-reconstruction method to produce image each...
Deconvolution can be used to obtain sharp images or volumes from blurry encoded measurements in imaging systems. Given knowledge of the system’s point spread function (PSF) over field view, a reconstruction algorithm recover clear image volume. Most deconvolution algorithms assume shift-invariance; however, realistic systems, PSF varies laterally and axially across view due aberrations design. Shift-varying models used, but are often slow computationally intensive. In this work, we propose...
Miniature fluorescence microscopes are a standard tool in systems biology. However, widefield miniature capture only 2D information, and modifications that enable 3D capabilities increase the size weight have poor resolution outside narrow depth range. Here, we achieve capability by replacing tube lens of conventional Miniscope with an optimized multifocal phase mask at objective's aperture stop. Placing stop significantly reduces device, varying focal lengths enables uniform across wide The...
Mask-based lensless imagers are smaller and lighter than traditional lensed cameras. In these imagers, the sensor does not directly record an image of scene; rather, a computational algorithm reconstructs it. Typically, mask-based use model-based reconstruction approach that suffers from long compute times heavy reliance on both system calibration heuristically chosen denoisers. this work, we address limitations using bounded-compute, trainable neural network to reconstruct image. We...
Hyperspectral imaging is useful for applications ranging from medical diagnostics to agricultural crop monitoring; however, traditional scanning hyperspectral imagers are prohibitively slow and expensive widespread adoption. Snapshot techniques exist but often confined bulky benchtop setups or have low spatio-spectral resolution. In this paper, we propose a novel, compact, inexpensive computational camera snapshot imaging. Our system consists of tiled spectral filter array placed directly on...
Light field microscopy (LFM) uses a microlens array (MLA) near the sensor plane of microscope to achieve single-shot 3D imaging sample without any moving parts. Unfortunately, capability LFM comes with significant loss lateral resolution at focal plane. Placing MLA pupil microscope, instead image plane, can mitigate artifacts and provide an efficient forward model, expense field-of-view (FOV). Here, we demonstrate improved across large volume Fourier DiffuserScope, which diffuser in encode...
We propose a single-shot 3D Miniscope, implemented by replacing the tube lens with random microlenses in pupil. Compared to miniature light-field microscopes, we improve resolution and depth range more compact, lightweight package.
We introduce a snapshot hyperspectral imager that uses random phase mask, repeated spectral filter array, and compressive recovery to achieve high spatial resolution in small form factor.
We propose a method based on blind deconvolution to calibrate the spatially-varying point spread functions of coded-aperture microscope system. From easy-to- acquire measurements unstructured fluorescent beads, we recover forward model that outperforms prior approaches.
The most ubiquitous form of computational aberration correction for microscopy is deconvolution. However, deconvolution relies on the assumption that point spread function same across entire field-of-view. It well recognized this often inadequate, but space-variant deblurring techniques generally require impractical amounts calibration and computation. We present a new imaging pipeline, ring (RDM), leverages rotational symmetry optical systems to provide simple fast spatially-varying...
We present a deep-learning method based on Wiener filters and U-Nets that performs image reconstruction in systems with spatially-varying aberrations. train simulated microscopy measurements test experimental data, demonstrating high resolution reconstructions.
We introduce a field-portable and cost-effective holographic imaging flow cytometer, which provides phase contrast microscopic images of the contents water samples at throughput 100 ml/h. This cytometer uses high power multi-colored LED custom designed circuit to illuminate continuously flowing with short-pulses red, green, blue light that are simultaneously on, thereby eliminating motion blur making system vibration resistant. The recorded color holograms segmented reconstructed in real...
We demonstrate deep learning assisted holographic imaging of waterborne microorganisms in color using a field-portable flow-cytometer capable high-throughput screening flowing water samples and report its capabilities ocean containing plankton. © 2019 The Author(s)
We demonstrate deep learning assisted holographic imaging of waterborne microorganisms in color using a field portable flow cytometer capable high throughput screening flowing water samples and report its capabilities ocean containing plankton.
We demonstrate a single-shot miniature 3D computational microscope with an optimized phase encoder. Our method uses sparsity-based reconstruction to achieve 2.76-m lateral and 15،nm axial resolution across most of the 900 x 700 390،nm 3 volume.
We propose a compact hyperspectral camera based on focus-tunable lens and spectral filter array. The captures then fuses multiple defocused measurements to obtain high-resolution volume.