scholarly journals Ultrasonic Time-of-Flight Computed Tomography for Investigation of Batch Crystallisation Processes

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 639
Author(s):  
Panagiotis Koulountzios ◽  
Tomasz Rymarczyk ◽  
Manuchehr Soleimani
Keyword(s):  
Spatial Information ◽  
Injection Rate ◽  
Ultrasound Tomography ◽  
Measurement Systems ◽  
Process Dynamics ◽  
Tomography System ◽  
Ultrasonic Time ◽  
Crystallisation Process ◽  
Liquid Suspensions

Crystallisation is a crucial step in many industrial processes. Many sensors are being investigated for monitoring such processes to enhance the efficiency of them. Ultrasound techniques have been used for particle sizing characterization of liquid suspensions, in crystallisation process. An ultrasound tomography system with an array of ultrasound sensors can provide spatial information inside the process when compared to single-measurement systems. In this study, the batch crystallisation experiments have been conducted in a lab-scale reactor in calcium carbonate crystallisation. Real-time ultrasound tomographic imaging is done via a contactless ultrasound tomography sensor array. The effect of the injection rate and the stirring speed was considered as two control parameters in these crystallisation functions. Transmission mode ultrasound tomography comprises 32 piezoelectric transducers with central frequency of 40 kHz has been used. The process-based experimental investigation shows the capability of the proposed ultrasound tomography system for crystallisation process monitoring. Information on process dynamics, as well as process malfunction, can be obtained via the ultrasound tomography system.

scholarly journals Development and characterization of a neutron tomography system for a Research Reactor

2016 ◽  
Vol 10 (2) ◽  
pp. 195-204 ◽  
Author(s):  
Waleed Abd el Bar ◽  
Imbaby I. Mahmoud ◽  
Hussein A. Konber
Keyword(s):  
Research Reactor ◽  
Neutron Tomography ◽  
Tomography System

Abstract 23: Characterization of MitoTimer, a Novel Tool for Monitoring Mitochondrial Turnover

2012 ◽  
Vol 111 (suppl_1) ◽  
Author(s):  
Christine A Thornton ◽  
Allen M Andres ◽  
Genaro Hernandez ◽  
Jon Sin ◽  
Roberta Gottlieb
Keyword(s):  
Protein Import ◽  
Spatial Information ◽  
Fluorescent Protein ◽  
Mitochondrial Dynamics ◽  
Inducible Promoter ◽  
Subcellular Fractionation ◽  
Fluorescent Reporter ◽  
Hek 293 ◽  
Mitochondrial Turnover

Fluorescent Timer, or DsRed1-E5, is a mutant of the red fluorescent protein, dsRed, developed by Terskikh and colleagues. Its fluorescence shifts over time from green to red as the protein matures. This molecular clock gives temporal and spatial information on protein turnover. To visualize mitochondrial turnover, we targeted Timer to the mitochondrial matrix with a mitochondrial targeting sequence (coined “MitoTimer”) and cloned it into a tetracycline-inducible promoter construct to regulate its expression. Here we report characterization of this novel fluorescent reporter for mitochondrial dynamics. Tet-On HEK 293 cells were transfected with pTRE-tight-MitoTimer and induced production with doxycycline. Mitochondrial distribution was demonstrated by fluorescence microscopy and verified by subcellular fractionation and western blot analysis. Doxycycline addition for as little as 1hr was sufficient to label mitochondria. MitoTimer was detected as early as 4hr following doxycycline addition, and persisted in mitochondria for at least 72hr. The color-specific conformation of MitoTimer was stable after fixation with 4% paraformaldehyde. MitoTimer matured to red fluorescence within 48hr, at which time a second pulse of doxycycline induced expression of green (immature) MitoTimer which was selectively incorporated into a subset of mitochondria actively engaged in protein import. The extent of new protein incorporation during a second pulse was increased under conditions of mito-biogenesis and reduced if mitochondrial membrane potential was dissipated. We conclude that MitoTimer can be used to monitor mitophagy and biogenesis.

scholarly journals A Quantitative Ultrasonic Travel-Time Tomography to Investigate Liquid Elaborations in Industrial Processes

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5117 ◽  
Author(s):  
Panagiotis Koulountzios ◽  
Tomasz Rymarczyk ◽  
Manuchehr Soleimani
Keyword(s):  
Sound Velocity ◽  
Travel Time ◽  
Spatial Information ◽  
Industrial Applications ◽  
Industrial Processes ◽  
Liquid Density ◽  
Ultrasound Tomography ◽  
Imaging Device ◽  
Fluid Mass ◽  
Travel Time Tomography

This work presents an ultrasound tomography imaging system and method for quantitative mapping of the sound speed in liquid masses. It is highly desirable to be able to inspect vessel fluid mass distribution, notably in the chemical and food industrial operations. Optimization of industrial reactors has been crucial to the improvement of industrial processes. There is a great need to investigate how and if tomographic imaging sensors could aid the automatic control of these process tanks. Single-measurement ultrasound techniques and especially spectrometric methods have been a subject of study of industrial applications. Tomographic systems provide key multi-dimensional and spatial information when compared to the well-established single-channel measurement system. Recently, ultrasound tomography has attracted a great deal of interest in a wide spectrum of industrial applications. The system has been designed as 32 piezoelectric ring-array positioned in a 30 cm tank, with an excitation frequency of 40 kHz. Two-dimensional transmission travel-time tomography was developed to reconstruct the fluid mass distributions. Prior experiments are mainly based on inclusions of a few centimetres and on a liquid solution of different concentrations. They have been conducted to test the spatial and quantitative resolution of the ultrasound imaging device. Analysing the reconstructed images, it is possible to provide accurate spatial resolution with low position errors. The system also demonstrated inclusion movement with a temporal resolution of 4 frames per second (fps) in dynamical imaging sense. Sound velocity quantitative imaging was developed for the investigation of ultrasonic propagation in different liquids. This work, for the first time, shows how quantitative sound velocity imaging using transmission mode time of flight data could be used to characterize liquid density distribution of industrial reactors. The results suggest that ultrasound tomography can be used to quantitatively monitor important process parameters.

scholarly journals FIB-SEM Three-Dimensional Tomography for Characterization of Carbon-Based Materials

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Nan Nan ◽  
Jingxin Wang
Keyword(s):  
Focused Ion Beam ◽  
Ion Beam ◽  
Three Dimensional ◽  
3D Tomography ◽  
Tomography System ◽  
Internal Structures ◽  
Potential Applications ◽  
Scanning Electron ◽  
Carbon Based

A review on the recent advances of the three-dimensional (3D) characterization of carbon-based materials was conducted by focused ion beam-scanning electron microscope (FIB-SEM) tomography. Current studies and further potential applications of the FIB-SEM 3D tomography technique for carbon-based materials were discussed. The goal of this paper is to highlight the advances of FIB-SEM 3D reconstruction to reveal the high and accurate resolution of internal structures of carbon-based materials and provide suggestions for the adoption and improvement of the FIB-SEM tomography system for a broad carbon-based research to achieve the best examination performances and enhance the development of innovative carbon-based materials.

scholarly journals Energy-based binary segmentation of snow microtomographic images

2013 ◽  
Vol 59 (217) ◽  
pp. 859-873 ◽  
Author(s):  
Pascal Hagenmuller ◽  
Guillaume Chambon ◽  
Bernard Lesaffre ◽  
Frédéric Flin ◽  
Mohamed Naaim
Keyword(s):  
Spatial Information ◽  
A Priori ◽  
Synthetic Image ◽  
X Ray ◽  
Require Time ◽  
Segmentation Methods ◽  
Binary Segmentation ◽  
Data Fidelity ◽  
Local Spatial Information

AbstractX-ray microtomography has become an essential tool for investigating the mechanical and physical properties of snow, which are tied to its microstructure. To allow a quantitative characterization of the microstructure, the grayscale X-ray attenuation coefficient image has to be segmented into a binary ice/pore image. This step, called binary segmentation, is crucial and affects all subsequent analysis and modeling. Common segmentation methods are based on thresholding. In practice, these methods present some drawbacks and often require time-consuming manual post-processing. Here we present a binary segmentation algorithm based on the minimization of a segmentation energy. This energy is composed of a data fidelity term and a regularization term penalizing large interface area, which is of particular interest for snow where sintering naturally tends to reduce the surface energy. The accuracy of the method is demonstrated on a synthetic image. The method is then successfully applied on microtomographic images of snow and compared to the threshold-based segmentation. The main advantage of the presented approach is that it benefits from local spatial information. Moreover, the effective resolution of the segmented image is clearly defined and can be chosen a priori.

A Multimarket Analysis of Inter-dependent Consumer Response Sensitivities

2015 ◽  
Vol 13 (1) ◽  
Author(s):  
Sudhir Voleti
Keyword(s):  
Spatial Information ◽  
Consumer Response ◽  
Model Fit ◽  
Improve Model ◽  
Macroeconomic Indicators ◽  
Distribution Free Approach ◽  
Explained Variance ◽  
Market Areas ◽  
The Relationship

AbstractWe investigate variation in aggregate consumer response sensitivities to the price, promotion and distribution elements of the marketing mix across US metropolitan markets. Primarily, three questions of research interest are examined – (i) the nature of the relationship between different aggregate response sensitivities and the implications therein, (ii) the usefulness of aggregate area-wide macroeconomic indicators such as inflation, unemployment and poverty in the context of a marketing problem, and (iii) the usefulness of geo-spatial information under a distribution-free approach. Beer category sales data across 49 major US metropolitan markets are analyzed. We find a pattern of strong inter-dependence among aggregate response sensitivities that indicates the existence of distinct, non-overlapping consumer segments. This enables a characterization of metropolitan market areas at an aggregate level. Ignoring inter-dependence mis-characterizes response sensitivity in two-thirds of the markets sampled. Further, on a standalone basis, neither area-wide economic indicators nor geo-spatial information help the analysis, but in conjunction, they vastly improve model fit (by almost 40%), explained variance (by over twice), parameter significance and consequently, insight.

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