A5011650107- Digital Holography and Microscopy
- Advanced X-ray Imaging Techniques
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Image Processing Techniques and Applications
- Optical Imaging and Spectroscopy Techniques
- Non-Invasive Vital Sign Monitoring
- Photoacoustic and Ultrasonic Imaging
- Advanced Electron Microscopy Techniques and Applications
- Optical measurement and interference techniques
- Optical Coherence Tomography Applications
- CCD and CMOS Imaging Sensors
- Advanced Optical Sensing Technologies
- Laser-Plasma Interactions and Diagnostics
- Digital Imaging for Blood Diseases
- Astrophysical Phenomena and Observations
- Single-cell and spatial transcriptomics
- Adaptive optics and wavefront sensing
- Advanced Measurement and Metrology Techniques
- Millimeter-Wave Propagation and Modeling
- AI in cancer detection
- Advancements in Photolithography Techniques
- Near-Field Optical Microscopy
- Retinal Imaging and Analysis
- Robotics and Sensor-Based Localization
Duke University
2019-2024
University of Glasgow
2015-2022
Tsinghua University
2021
Polish Academy of Sciences
2021
Institute of Physical Chemistry
2021
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...
Abstract The revolution in low-cost consumer photography and computation provides fertile opportunity for a disruptive reduction the cost of biomedical imaging. Conventional approaches to microscopy are fundamentally restricted, however, modest field view (FOV) and/or resolution. We report technique, implemented with Raspberry Pi single-board computer color camera combined Fourier ptychography (FP), computationally construct 25-megapixel images sub-micron New image-construction techniques...
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...
Since its invention, the microscope has been optimized for interpretation by a human observer. With recent development of deep learning algorithms automated image analysis, there is now clear need to re-design microscope's hardware specific tasks. To increase speed and accuracy classification, this work presents method co-optimize how sample illuminated in microscope, along with pipeline automatically classify resulting image, using neural network. By adding "physical layer" classification...
This paper presents a microscopic imaging technique that uses variable-angle illumination to recover the complex polarimetric properties of specimen at high resolution and over large field-of-view. The approach extends Fourier ptychography, which is synthetic aperture-based improve with phaseless measurements, additionally account for vectorial nature light. After images are acquired using standard microscope outfitted an LED array two polarizers, our ptychography (vFP) algorithm solves 2x2...
The dynamics of living organisms are organized across many spatial scales. However, current cost-effective imaging systems can measure only a subset these scales at once. We have created scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution recording from multiple simultaneously, ranging structures approach the cellular scale to large-group behavioral dynamics. By collecting data up 96 cameras, we computationally generate gigapixel-scale images and movies...
This paper experimentally examines different configurations of a multi-camera array microscope (MCAM) imaging technology. The MCAM is based upon densely packed “micro-cameras” to jointly image across large field-of-view (FOV) at high resolution. Each micro-camera within the images unique area sample interest, and then all acquired data with 54 micro-cameras are digitally combined into composite frames, whose total pixel counts significantly exceed standard systems. We present results from...
Abstract Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task. While standard diffuse methods measure absorption or fluorescent emission, it is also well‐established that the temporal correlation of scattered coherent light diffuses tissue much like intensity. Few works to date, however, have aimed experimentally and process such data demonstrate deep‐tissue video reconstruction decorrelation...
We present a multi-modal fiber array snapshot technique (M-FAST) based on an of 96 compact cameras placed behind primary objective lens and bundle array. Our is capable large-area, high-resolution, multi-channel video acquisition. The proposed design provides two key improvements to prior cascaded imaging system approaches: novel optical arrangement that accommodates the use planar camera arrays, new ability acquire image data M-FAST multi-modal, scalable can dual-channel fluorescence images...
Understanding how circuits in the brain simultaneously coordinate their activity to mediate complex ethnologically relevant behaviors requires recording neural activities from distributed populations of neurons freely behaving animals. Current miniaturized imaging microscopes are typically limited a relatively small field view, precluding measurement across multiple regions. Here we present micro-camera array microscope (mini-MCAM) that consists four fluorescence micro-cameras, each capable...
Extracting as much information possible about an object when probing with a limited number of photons is important goal applications from biology and security to metrology. Imaging few challenging task the detector noise stray light are then predominant, which precludes use conventional imaging methods. Quantum correlations between photon pairs has been exploited in so called 'heralded scheme' eliminate this problem. However these implementations have so-far intensity crucial phase lost In...
This work demonstrates a multi-lens microscopic imaging system that overlaps multiple independent fields of view on single sensor for high-efficiency automated specimen analysis. Automatic detection, classification and counting various morphological features interest is now crucial component both biomedical research disease diagnosis. While convolutional neural networks (CNNs) have dramatically improved the accuracy cells sub-cellular from acquired digital image data, overall throughput...
This paper introduces a new method of data-driven microscope design for virtual fluorescence microscopy. We use deep neural network (DNN) to effectively optical patterns specimen illumination that substantially improve upon the ability infer image information from unstained images. To achieve this design, we include an model within DNN's first layers is jointly optimized during training. validated our on two different experimental setups, with magnifications and sample types, show consistent...
Standard microscopes offer a variety of settings to help improve the visibility different specimens end microscope user. Increasingly, however, digital are used capture images for automated interpretation by computer algorithms (e.g., feature classification, detection or segmentation), often without any human involvement. In this work, we investigate an approach jointly optimize multiple settings, together with classification network, improved performance such tasks. We explore interplay...
Recently developed single-photon avalanche diode (SPAD) array cameras provide sensitivity and picosecond-scale time gating for time-of-flight measurements, with applications in LIDAR fluorescence lifetime imaging. As compared to standard image sensors, SPAD arrays typically return binary intensity measurements photon time-of-arrival information from fewer pixels. Here, we study the feasibility of implementing Fourier ptychography (FP), a synthetic aperture imaging technique, reconstruct an...
Obtaining gigapixel images is a challenging task because of the aberrations present in conventional optical system, small sensor sizes and limited data-capture rates cameras. Multi-aperture Fourier ptychography (MAFP) was proposed recently by us to solve issue increasing data acquisition bandwidth parallelizing capture using an array lenses coupled with discrete detectors. We advanced MAFP system based on Scheimpflug configuration improve performance at high NAs. This requires complicated...
The spatial resolution of a microscope is inversely proportionate to the sum objective numerical aperture (NA) and illumination NA. Fourier Ptychography (FP) microscopy achieves high-resolution, wide-field imaging by use low-NA, combined with time-sequential synthesis high NA using an array LEDs. We describe reconstruction algorithms based on Fresnel propagation, rather than traditional Fraunhofer which enables more accurate representation LED hence reduced aberration in image...
The ability of a microscope to rapidly acquire wide-field, high-resolution images is limited by both the optical performance objective and bandwidth detector. use multiple detectors can increase electronic-acquisition bandwidth, but parallel objectives problematic since phase coherence required across apertures. We report new synthetic-aperture microscopy technique based on Fourier ptychography, where illumination image-space numerical apertures are synthesized, using spherical array...
Fast noninvasive probing of spatially varying decorrelating events, such as cerebral blood flow beneath the human skull, is an essential task in various scientific and clinical settings. One primary optical techniques used diffuse correlation spectroscopy (DCS), whose classical implementation uses a single or few single-photon detectors, resulting poor spatial localization accuracy relatively low temporal resolution. Here, we propose technique termed ClassifyingRapid decorrelationEvents...
Abstract The dynamics of living organisms are organized across many spatial scales. However, current cost-effective imaging systems can measure only a subset these scales at once. We have created scalable multi-camera array microscope (MCAM) that enables comprehensive high-resolution recording from multiple simultaneously, ranging cellular structures to large-group behavioral dynamics. By collecting data up 96 cameras, we computationally generate gigapixel-scale images and movies with field...
We report a novel multi-aperture Fourier Ptychography combined with new algorithms for near-field reconstruction that promises an order of magnitude reduction in acquisition time and the possibility acquiring datasets at 1Hz.
ABSTRACT The revolution in low-cost consumer photography and computation provides fertile opportunity for a disruptive reduction the cost of biomedical imaging. Conventional approaches to microscopy are fundamentally restricted, however, modest field view (FOV) and/or resolution. We report technique, implemented with Raspberry Pi single-board computer color camera combined Fourier ptychography (FP), computationally construct 25-megapixel images sub-micron New image-construction techniques...