scholarly journals Quantitative Image Format for Electron Microscopy

2020 ◽  
Vol 26 (S2) ◽  
pp. 1176-1178
Author(s):  
Grigore Moldovan ◽  
Michael Zabel
Keyword(s):  
Electron Microscopy ◽  
Experimental Data ◽  
Quantitative Data ◽  
Data Simulation ◽  
Simulation Data ◽  
Image File ◽  
File Formats ◽  
Quantitative Image ◽  
Image Format ◽  
Calibration Parameters

AbstractExperimental data, simulation, data analysis and visualisation require image file formats that are open source and able to contain and manage quantitative data. Quantification techniques bring the new challenge of managing image calibration parameters and formulas in an open and efficient format, compatible with routine microscopy workflows. A practical approach to quantitative image format is presented and discussed here, relying on open and extensible file formats - Tagged Image File (TIF) and Extensible Metadata Platform (XMP).

scholarly journals Ontology of Heterogeneous Image File Formats and their Disparate Applications

2021 ◽  
Vol 10 (6) ◽  
pp. 3138-3143
Keyword(s):  
Digital Images ◽  
File Format ◽  
Image File ◽  
Vector Type ◽  
File Formats ◽  
The World ◽  
Basic Image ◽  
Image File Format ◽  
Image Format ◽  
Image Type

Different image formats are available in the world today which are used for various purposes, this paper elaborates the Ontology of different Image File Formats and their various applications. Digital images are saved in various Image File Formats which have different properties and features which are ideal for a particular use. A digital image is primarily classified into two types, raster or vector type. Image format elucidate how the information in the image will be stored. Image file format is a systematic way of storing and arranging digital images. Image file format can store data in compressed format (which may be lossy or lossless), uncompressed format or a vector format. Some Image format are suitable for a particular purpose while some are not. TIFF Image type is good for printing whereas PNG or JPG, are best for web. Analysis of the basic Image File Format have been carried out practically and the result is displayed in the coming section

Modelling anaerobic codigestion of manure with olive oil mill effluent

1997 ◽  
Vol 36 (6-7) ◽  
pp. 263-270 ◽  
Author(s):  
Irini Angelidaki ◽  
Lars Ellegaard ◽  
Birgitte K. Ahring
Keyword(s):  
Experimental Data ◽  
Olive Oil ◽  
Anaerobic Degradation ◽  
Bacterial Biomass ◽  
Data Simulation ◽  
Simulation Data ◽  
Olive Oil Mill Effluent ◽  
Anaerobic Codigestion ◽  
Ph Buffer ◽  
Complex Organic

A mathematical model describing the combined anaerobic degradation of complex organic material, such as manure, and a lipid containing additive, such as olive oil mill effluents, has been developed based on a model previously described (Angelidaki et al. 1993). The model has been used to simulate anaerobic codigestion of cattle manure together with olive oil mill effluent (OME) and the simulations were compared with experimental data. Simulation data indicated that lack of ammonia, needed as nitrogen source for synthesis of bacterial biomass and as an important pH buffer, could be responsible for the problems encountered when anaerobic degradation of OME alone is attempted. It was shown that the amount of nitrogen needed to obtain a stable degradation of OME can be provided by manure during codigestion of OME and manure.

scholarly journals An Medical Image File Formats and Digital Image Conversion

2019 ◽  
Vol 9 (1S3) ◽  
pp. 74-78
Keyword(s):  
Digital Image ◽  
Medical Image ◽  
Imaging Informatics ◽  
Technology Initiative ◽  
Image File ◽  
Image Conversion ◽  
File Formats ◽  
Processing Step ◽  
Neuro Imaging ◽  
Image Format

Medical image file formats make the confusing aspect to young researchers who start work with medical images. Medical image format conversion is still a tedious task due to the different structure of files. Digital image conversion from the medical image is an important pre-processing step to the process and visualizes the data. This article presents an overview of the major medical image file formats such as Analyze, neuro-imaging informatics technology initiative (NIFTI), MINC, and digital imaging and communications in medicine (DICOM). Then the characteristics and strengths of the various formats are discussed. Also the article describes the easiest way of digital image conversion from medical image format.

Morphometric analysis of cellular interactions with the endothelium during the development of arterial lesions using Scanning Electron Microscopy and digital image analysis

1987 ◽  
Vol 45 ◽  
pp. 918-919
Author(s):  
M.E. Rosenfeld ◽  
C. Karboski ◽  
M.F. Prescott ◽  
P. Goodwin ◽  
R. Ross
Keyword(s):  
Electron Microscopy ◽  
Image Analysis ◽  
Quantitative Data ◽  
Digital Image Analysis ◽  
Lower Cost ◽  
Matched Control ◽  
Digital Analysis ◽  
Cellular Interactions ◽  
Arterial Lesions ◽  
Scanning Electron

Previous research documenting the chronology of the cellular interactions that occur on or below the surface of the endothelium during the initiation and progression of arterial lesions, primarily consisted of descriptive studies. The recent development of lower cost image analysis hardware and software has facilitated the collection of high resolution quantitative data from microscopic images. In this report we present preliminary quantitative data on the sequence of cellular interactions that occur on the endothelium during the initiation of atherosclerosis or vasculitis utilizing digital analysis of images obtained directly from the scanning electron microscope. Segments of both atherosclerotic and normal arteries were obtained from either diet-induced or endogenously (WHHL) hypercholesterolemic rabbits following 1-4 months duration of hypercholesterolemia and age matched control rabbits. Vasculitis was induced in rats following placement of an endotoxin soaked thread adjacent to the adventitial surface of arteries.

scholarly journals Phase Relations in the ZrO2-MgO-FeOx System: Experimental Data and Assessment of Thermodynamic Parameters

2021 ◽  
Author(s):  
Ivan Saenko ◽  
O. Fabrichnaya
Keyword(s):  
Electron Microscopy ◽  
Experimental Data ◽  
Solid Solution ◽  
Thermodynamic Parameters ◽  
Spinel Phase ◽  
Experimental Investigations ◽  
X Ray ◽  
Heat Treated ◽  
Preliminary Phase ◽  
Scanning Electron

AbstractThermodynamic parameters were assessed for the MgO–FeOx system and combined with already available descriptions of ZrO2-FeOx and ZrO2-MgO systems to calculate preliminary phase diagrams for planning experimental investigations. Samples of selected compositions were heat treated at 1523, 1673 and 1873 K and characterized using x-ray and scanning electron microscopy combined with energy dispersive x-ray spectroscopy (SEM/EDX). Experiments indicated extension of cubic ZrO2 solid solution into the ternary system at 1873 K (75 mol.% ZrO2, 10 mol.% FeOx and 15 mol.% MgO) and limited solubility of 4 mol.% ZrO2 in spinel phase. Based on the obtained results thermodynamic parameters of C-ZrO2 and spinel phase were optimized.

Experimental Methodologies: Two Case Studies Investigating the Syntax- Discourse Interface

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Timothy Gupton ◽  
Tania Leal Méndez
Keyword(s):  
Experimental Data ◽  
Quantitative Data ◽  
Native Speaker ◽  
Experimental Methods ◽  
Experimental Investigations ◽  
Experimenter Bias ◽  
Current Article ◽  
Theoretical Syntax ◽  
Discourse Interface ◽  
L1 And L2

AbstractThe current article examines two experimental investigations of the syntaxdiscourse interface, which address theoretical questions in different ways: the first is an L1 investigation of Galician speakers in Gupton (2010) and the second is a dual investigation of L1 and L2 Spanish reported on in Leal Méndez & Slabakova (2011). These investigations gathered quantitative data via psycholinguistic tasks with accompanying audio utilizing the WebSurveyor platform. They involved counterbalanced designs and were followed by statistical analysis. While acknowledging that experimental data does not have primacy over intuitive data, the authors endorse the use of experimental methods of data elicitation (such as the ones already used in generative SLA research) in theoretical syntax in order to avoid experimenter bias and to get a more complete picture of native speaker intuition and competencies.

scholarly journals Virtual Disks Performance Analysis Using Flexible I/O and Powerstat

2021 ◽  
Vol 9 (10) ◽  
pp. 267-296
Author(s):  
Pritam Patange
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Disk File ◽  
Virtual Machine Monitor ◽  
Image File ◽  
File Formats ◽  
Physical Infrastructure ◽  
Disk Image ◽  
The Impact

Abstract: Cloud computing has experienced significant growth in the recent years owing to the various advantages it provides such as 24/7 availability, quick provisioning of resources, easy scalability to name a few. Virtualization is the backbone of cloud computing. Virtual Machines (VMs) are created and executed by a software called Virtual Machine Monitor (VMM) or the hypervisor. It separates compute environments from the actual physical infrastructure. A disk image file representing a single virtual machine is created on the hypervisor’s file system. In this paper, we analysed the runtime performance of multiple different disk image file formats. The analysis comprises of four different parameters of performance namely- bandwidth, latency, input-output operations performed per second (IOPS) and power consumption. The impact of the hypervisor’s block and file sizes is also analysed for the different file formats. The paper aims to act as a reference for the reader in choosing the most appropriate disk file image format for their use case based on the performance comparisons made between different disk image file formats on two different hypervisors – KVM and VirtualBox. Keywords: Virtualization, Virtual disk formats, Cloud computing, fio, KVM, virt-manager, powerstat, VirtualBox.

scholarly journals VISUAL ANALYSIS OF INCONSISTENCIES IN HYDRAULIC SIMULATION DATA

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 795-801
Author(s):  
O. Perrin ◽  
S. Christophe ◽  
F. Jacquinod ◽  
O. Payrastre
Keyword(s):  
Visual Analysis ◽  
Research Work ◽  
Simulated Data ◽  
Data Simulation ◽  
Simulation Data ◽  
Hydraulic Simulation ◽  
Multi Scale ◽  
Visualization Tools ◽  
Geographic Information Sciences ◽  
Simulation Parameters

Abstract. We present our contribution to the geovisualization and visual analysis of hydraulic simulation data, based on an interdisciplinary research work undertaken by researchers in geographic information sciences and in hydraulics. The positive feedback loop between researchers favored the proposal of visualization tools enabling visual reasoning on hydraulic simulated data so as to infer knowledge on the simulation model. We interactively explore and design 2D multi-scale styles to render hydraulic simulated data, in order to support the identification over large simulation domains of possible local inconsistencies related to input simulation data, simulation parameters or simulation workflow. Models have been implemented into QGIS and are reusable for other input data and territories.

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