Track topics on Twitter Track topics that are important to you
Xi-cam is an extensible platform for data management, analysis and visualization. Xi-cam aims to provide a flexible and extensible approach to synchrotron data treatment as a solution to rising demands for high-volume/high-throughput processing pipelines. The core of Xi-cam is an extensible plugin-based graphical user interface platform which provides users with an interactive interface to processing algorithms. Plugins are available for SAXS/WAXS/GISAXS/GIWAXS, tomography and NEXAFS data. With Xi-cam's `advanced' mode, data processing steps are designed as a graph-based workflow, which can be executed live, locally or remotely. Remote execution utilizes high-performance computing or de-localized resources, allowing for the effective reduction of high-throughput data. Xi-cam's plugin-based architecture targets cross-facility and cross-technique collaborative development, in support of multi-modal analysis. Xi-cam is open-source and cross-platform, and available for download on GitHub.
This article was published in the following journal.
Name: Journal of synchrotron radiation
Data visualization is a crucial tool for data exploration, analysis and interpretation. To visualize the ancestry data, we developed a new software tool, called AncestryView. We demonstrate its functi...
Information visualization designers strive to design data displays that allow for efficient exploration, analysis, and communication of patterns in data, leading to informed decisions. Unfortunately, ...
We present P4, an information visualization toolkit that combines declarative design specification and GPU computing for building high-performance interactive systems. Most of the existing information...
Data visualization plays critical roles in proteomics studies, ranging from quality control of MS/MS data to validation of peptide identification results. Herein, we present PDV, an integrative proteo...
Translational research platforms share the aim to promote a deeper understanding of stored data by providing visualization and analysis tools for data exploration and hypothesis generation. However, s...
Hypotheses: (1)Wound healing during hospital stay will be equal between systems, (2)RNs will perceive the Versatile One (EZCare) system as easier to use, (3)Costs related to dressing chang...
This investigation is designed to evaluate the performance as well as the patients overall acceptance of the interface.
The goal of this study is to assess the utility of a data visualization tool for providers' understanding patients' past microbiological culture sensitivities. Providers that are ordering ...
The study is a two-armed randomized cross-over comparison of leakage with nasal prongs and nasal mask interface in newborn infants treated with CPAP, born after 28 weeks of gestational age...
RATIONALE: Pancreas tumor localization makes minimally invasive surgical resection of pancreas tumors very challenging. Recently, an endoscopic ultrasound needle system has been developed ...
Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.
Analysis based on the mathematical function first formulated by Jean-Baptiste-Joseph Fourier in 1807. The function, known as the Fourier transform, describes the sinusoidal pattern of any fluctuating pattern in the physical world in terms of its amplitude and its phase. It has broad applications in biomedicine, e.g., analysis of the x-ray crystallography data pivotal in identifying the double helical nature of DNA and in analysis of other molecules, including viruses, and the modified back-projection algorithm universally used in computerized tomography imaging, etc. (From Segen, The Dictionary of Modern Medicine, 1992)
Reducing the SURFACE TENSION at a liquid/solid interface by the application of an electric current across the interface thereby enhancing the WETTABILITY of the surface.
Signal and data processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency domains. It represents a signal or data in terms of a fast decaying wavelet series from the original prototype wavelet, called the mother wavelet. This mathematical algorithm has been adopted widely in biomedical disciplines for data and signal processing in noise removal and audio/image compression (e.g., EEG and MRI).
The statistical manipulation of hierarchically and non-hierarchically nested data. It includes clustered data, such as a sample of subjects within a group of schools. Prevalent in the social, behavioral sciences, and biomedical sciences, both linear and nonlinear regression models are applied.