A5059988741- Advanced X-ray Imaging Techniques
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Quantum Computing Algorithms and Architecture
- Advanced Electron Microscopy Techniques and Applications
- Industrial Vision Systems and Defect Detection
- Advanced Image and Video Retrieval Techniques
- Machine Learning and Data Classification
- Quantum Information and Cryptography
- Remote Sensing and LiDAR Applications
- Parallel Computing and Optimization Techniques
- Data Analysis with R
- Computational Physics and Python Applications
- Cell Image Analysis Techniques
- Advanced X-ray and CT Imaging
- Scientific Computing and Data Management
- Automated Road and Building Extraction
- Magnetic confinement fusion research
- Hydrological Forecasting Using AI
- Advanced Data Storage Technologies
- Remote-Sensing Image Classification
- Image and Object Detection Techniques
- Electron and X-Ray Spectroscopy Techniques
- Radiomics and Machine Learning in Medical Imaging
Lawrence Berkeley National Laboratory
2014-2024
Bar-Ilan University
2022
Alive Hospice
2020
Research Applications (United States)
2016-2017
Universidade de São Paulo
2010-2016
Laboratoire Traitement et Communication de l’Information
2012-2016
Télécom Paris
2011-2016
Universidade Federal de São Carlos
2008-2012
Institut Mines-Télécom
2011
Abstract Battery function is determined by the efficiency and reversibility of electrochemical phase transformations at solid electrodes. The microscopic tools available to study chemical states matter with required spatial resolution specificity are intrinsically limited when studying complex architectures their reliance on two-dimensional projections thick material. Here, we report development soft X-ray ptychographic tomography, which resolves in three dimensions 11 nm resolution. We an...
Xi-cam is an extensible platform for data management, analysis and visualization. aims to provide a flexible approach synchrotron treatment as solution rising demands high-volume/high-throughput processing pipelines. The core of plugin-based graphical user interface which provides users with interactive algorithms. Plugins are available SAXS/WAXS/GISAXS/GIWAXS, tomography NEXAFS data. With Xi-cam's `advanced' mode, steps designed graph-based workflow, can be executed live, locally or...
Ever brighter light sources, fast parallel detectors and advances in phase retrieval methods have made ptychography a practical popular imaging technique. Compared to previous techniques, provides superior robustness resolution at the expense of more advanced time-consuming data analysis. By taking advantage massively architectures, high-throughput processing can expedite this analysis provide microscopists with immediate feedback. These allow real-time wavelength-limited resolution, coupled...
Abstract The global decline of water quality in rivers and streams has resulted a pressing need to design new watershed management strategies. Water can be affected by multiple stressors including population growth, land use change, warming, extreme events, with repercussions on human ecosystem health. A scientific understanding factors affecting riverine predictions at local regional scales, sub‐daily decadal timescales are needed for optimal watersheds river basins. Here, we discuss how...
We demonstrate a method for obtaining increased spatial resolution and specificity in nanoscale chemical composition maps through the use of full refractive reference spectra soft x-ray spectro-microscopy. Using ptychography, we measure both absorption refraction x-rays pristine materials as function photon energy these basis decomposing spatially resolved from heterogeneous sample, thereby quantifying at high resolution. While conventional instruments are limited to contrast, our novel...
Compact data representations in quantum systems are crucial for the development of algorithms analysis. In this study, we present two innovative encoding techniques, known as QCrank and QBArt, which exhibit significant parallelism via uniformly controlled rotation gates. The method encodes a series real-valued rotations on qubits, resulting increased storage capacity. On other hand, QBArt directly incorporates binary representation within computational basis, requiring fewer measurements...
We introduce a novel and uniform framework for quantum pixel representations that overarches many of the most popular proposed in recent literature, such as (I)FRQI, (I)NEQR, MCRQI, (I)NCQI. The QPIXL results more efficient circuit implementations significantly reduces gate complexity all considered representations. Our method scales linearly number pixels does not use ancilla qubits. Furthermore, circuits only consist [Formula: see text] gates making them practical NISQ era. Additionally,...
Machine learning has revolutionized a number of fields, but many micro-tomography users have never used it for their work. The beamline at the Advanced Light Source (ALS), in collaboration with Center Applied Mathematics Energy Research Applications (CAMERA) Lawrence Berkeley National Laboratory, now deployed series tools to automate data processing ALS using machine learning. This includes new reconstruction algorithms, feature extraction tools, and image classification recommen- dation...
The enumeration of all maximal cliques in an undirected graph is a fundamental problem arising several research areas. We consider clique on shared-memory, multi-core architectures and introduce approach consisting entirely data-parallel operations, effort to achieve efficient portable performance across different architectures. study the algorithm via experiments varying over benchmark graphs Overall, we observe that our achieves up 33-time speedup 9-time state-of-the-art distributed serial...
This article introduces a method for road network extraction from satellite images. The proposed approach covers new fusion (using data multiple sources) and Markov random field (MRF) defined on connected components along with multilevel application (two-level MRF). Our allows the detection of roads different characteristics decreases by around 30% size used graph model. Results synthetic aperture radar (SAR) images optical obtained using TerraSAR-X Quickbird sensors, respectively, are...
Three-dimensional (3D) micro-tomography (µ-CT) has proven to be an important imaging modality in industry and scientific domains. Understanding the properties of material structure behavior produced many advances. An component 3D µ-CT pipeline is image partitioning (or segmentation), a step that used separate various phases or components image. Image schemes require specific rules for different fields, but common strategy consists devising metrics quantify performance accuracy. The present...
Advanced experimental facilities worldwide are probing structure and chemistry, disorder, dynamics electronic properties, through time, over length scales spanning macroscopic to atomic resolution, in multiple dimensions (e.g., hyperspectral tomography, nano-spectroscopy), under extreme environmental conditions stimulated reactions. In order do so, they collecting more data at faster rates. One critical challenge is build algorithms that can analyze, interpret, understand the information...
Here poly( N,N ‐dimethylacrylamide)‐ block ‐poly(styrene) copolymer micelles (BCPs) are advanced and applied to assemble periodic mesoporous organosilicas (PMOs) with noncylindrical pores. Using these BCP micelles, it is found that pore dimensions (11–23 nm), wall thicknesses (5–9 overall porosities (26%–78%) independently programable, depending only on relative inputs for matrix former. Notably, the degree of order in all films improves as loading approaches a packing limit 63 vol%. Beyond...
We describe how to use several machine learning techniques organized in a pipeline segment and identify cell membrane structures from cryo electron tomograms. These tomograms are difficult analyze with traditional segmentation tools. The our approach starts supervised via special convolutional neural network trained simulated data. It continues semi-supervised reinforcement and/or region merging technique that tries piece together disconnected components belonging the same structure. A...
Today users visit synchrotrons as sources of understanding and discovery—not just light, not data. To achieve this, the synchrotron facilities frequently provide light but often entire end station increasingly, advanced computational that can reduce terabytes data into a form reveal new key insight. The Advanced Light Source (ALS) has partnered with high performance computing, fast networking, applied mathematics groups to create "super-facility", giving simultaneous access experimental,...
Assembly of biomolecules at solid–water interfaces requires molecules to traverse complex orientation-dependent energy landscapes through processes that are poorly understood, largely due the dearth in situ single-molecule measurements and statistical analyses rotational dynamics define directional selection. Emerging capabilities high-speed atomic force microscopy machine learning have allowed us directly determine orientational landscape observe quantify for protein nanorods on surface...
Three machine learning techniques (multilayer perceptron, random forest and Gaussian process) provide fast surrogate models for lower hybrid current drive (LHCD) simulations. A single GENRAY/CQL3D simulation without radial diffusion of electrons requires several minutes wall-clock time to complete, which is acceptable many purposes, but too slow integrated modelling real-time control applications. The use a database more than 16 000 simulations training, validation testing. Latin hypercube...
The focus of this Visualization Viewpoints article is to provide some background on quantum computing (QC), explore ideas related how visualization helps in understanding QC, and examine QC might be useful for with the growth maturation both technologies future. In a quickly evolving technology landscape, emerging as promising pathway overcome limits classical computing. cases, platforms offer potential vastly outperform familiar computer by solving problems more or that may intractable any...
In this paper, we propose a hierarchical Markovian framework to extract the road network with optical and synthetic aperture radar (SAR) data. We generalization of previous method based on low-level step (features extraction) high-level (use contextual information). The main novelties proposed approach are use more general elements represent candidates, which simplifies generalizes method, fusion different sensors during both lower higher levels introduction second MRF in way. is tested...
Fibers provide exceptional strength-to-weight ratio capabilities when woven into ceramic composites, transforming them materials with resistance to high temperature, and strength combined improved fracture toughness. Microcracks are inevitable the material is under strain, which can be imaged using synchrotron X-ray computed micro-tomography (μ-CT) for assessment of mechanical toughness variation. An important part this analysis recognize fibrillar features. This paper presents algorithms...
Synchrotrons such as the Advanced Light Source (ALS) at Lawrence Berkeley National Laboratory are user facilities - they sources of extremely bright X-ray beams, and scientists come from all over world to perform experiments that require these beams. As complexity has increased, size rates data sets exploded, managing, analyzing presenting collected synchrotrons been an increasing challenge. The ALS partnered with high performance computing, fast networking, applied mathematics groups create...
Scientists are drawn to synchrotrons and accelerator based light sources because of their brightness, coherence flux. The rate improvement in brightness detector technology has outpaced Moore's law growth seen for computers, networks, storage, is enabling novel observations discoveries with faster frame rates, larger fields view, higher resolution, dimensionality. Here we present an integrated software/algorithmic framework designed capitalize on high throughput experiments, describe the...