scholarly journals Real-Time High Resolution THz Imaging with a Fiber-Coupled Photo Conductive Antenna and an Uncooled Microbolometer Camera

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3757
Author(s):  
Peter Zolliker ◽  
Mostafa Shalaby ◽  
Elisa Söllinger ◽  
Elena Mavrona ◽  
Erwin Hack
Keyword(s):  
Real Time ◽  
High Sensitivity ◽  
Industrial Applications ◽  
New Combination ◽  
Imaging Method ◽  
Thz Imaging ◽  
Beam Shape ◽  
Real Time Imaging ◽  
Practical Applications ◽  
Uncooled Microbolometer

We present a real-time THz imaging method using a commercial fiber-coupled photo conductive antenna as the THz source and an uncooled microbolometer camera for detection. This new combination of state-of-the-art components is very adaptable due to its compact and uncooled radiation source, whose fiber coupling allows for a flexible placement. Using a camera with high sensitivity renders real-time imaging possible. As a proof-of-concept, the beam shape of a THz Time Domain Spectrometer was measured. We demonstrate real time imaging at nine frames per second and show its potential for practical applications in transmission geometry covering both material science and security tasks. The results suggest that hidden items, complex structures and the moisture content of (biological) materials can be resolved. We discuss the limits of the current setup, possible improvements and potential (industrial) applications, and we outline the feasibility of imaging in reflection geometry or extending it to multi-spectral imaging using band pass filters.

Guided Wave Imaging Based on Fully Connected Neural Network for Quantitative Corrosion Assessment

2021 ◽  
Author(s):  
Xiaocen Wang ◽  
Min Lin ◽  
Junkai Tong ◽  
Lin Liang ◽  
Jian Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Guided Wave ◽  
Scientific Management ◽  
Imaging Method ◽  
Online Testing ◽  
Real Time Imaging ◽  
Detection Technology ◽  
Fully Connected ◽  
Mean Square Errors

Abstract Corrosion can affect the reliability of materials, which has attracted the attention of the industry. Corrosion detection and quantitative analysis are particularly important for scientific management and decision-making. In this paper, the imaging method based ultrasonic guided wave (UGW) detection technology and fully connected neural network (FCNN) is proposed to realize real-time imaging of corrosion damages. The imaging method contains offline training and online testing. Offline training aims to establish the relationship between detection signals and velocity maps and it is accelerated by adaptive moment estimation (Adam) algorithm. In the process of online testing, the trained model can be called directly to realize real-time imaging, that is, the detection signals are fed into the model and the network will predict the velocity maps. Finally, the velocity maps are converted to thickness maps according to the dispersion curves. Numerical experimental results show that the mean square errors (mses) are respectively 9.08 × 10−4, 2.47 × 10−3 and 2.59 × 10−3 in training, validation and testing. Compared with irregular corrosion damages, the imaging method has better imaging quality for circular corrosion damages.

A Real Time Imaging Method for Internal Targets of Strongly Scattering Media with High Resolution

2015 ◽  
Vol 35 (2) ◽  
pp. 0211006
Author(s):  
文政博 Wen Zhengbo ◽  
吴雨霖 Wu Yulin ◽  
张秀达 Zhang Xiuda ◽  
严惠民 Yan Huimin ◽  
魏少鹏 Wei Shaopeng
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Imaging Method ◽  
Scattering Media ◽  
Real Time Imaging

scholarly journals High-Sensitivity Real-Time Imaging of Dual Protein-Protein Interactions in Living Subjects Using Multicolor Luciferases

PLoS ONE ◽  
2009 ◽  
Vol 4 (6) ◽  
pp. e5868 ◽  
Author(s):  
Naoki Hida ◽  
Muhammad Awais ◽  
Masaki Takeuchi ◽  
Naoto Ueno ◽  
Mayuri Tashiro ◽  
...  
Keyword(s):  
Real Time ◽  
Protein Interactions ◽  
High Sensitivity ◽  
Protein Protein Interactions ◽  
Real Time Imaging

scholarly journals Simultaneous self-optimisation of yield and purity through successive combination of inline FT-IR spectroscopy and online mass spectrometry in flow reactions

2021 ◽  
Author(s):  
Verena Fath ◽  
Philipp Lau ◽  
Christoph Greve ◽  
Philipp Weller ◽  
Norbert Kockmann ◽  
...  
Keyword(s):  
Real Time ◽  
Process Development ◽  
Early Stage ◽  
High Sensitivity ◽  
Product Formation ◽  
Industrial Applications ◽  
Process Conditions ◽  
Model Free ◽  
Ft Ir ◽  
By Products

AbstractSelf-optimisation constitutes a very helpful tool for chemical process development, both in lab and in industrial applications. However, research on the application of model-free autonomous optimisation strategies (based on experimental investigation) for complex reactions of high industrial significance, which involve considerable intermediate and by-product formation, is still in an early stage. This article describes the development of an enhanced autonomous microfluidic reactor platform for organolithium and epoxide reactions that incorporates a successive combination of inline FT-IR spectrometer and online mass spectrometer. Experimental data is collected in real-time and used as feedback for the optimisation algorithms (modified Simplex algorithm and Design of Experiments) without time delay. An efficient approach to handle intricate optimisation problems is presented, where the inline FT-IR measurements are used to monitor the reaction’s main components, whereas the mass spectrometer’s high sensitivity permits insights into the formation of by-products. To demonstrate the platform’s flexibility, optimal reaction conditions of two organic syntheses are identified. Both pose several challenges, as complex reaction mechanisms are involved, leading to a large number of variable parameters, and a considerable amount of by-products is generated under non-ideal process conditions. Through multidimensional real-time optimisation, the platform supersedes labor- and cost-intensive work-up procedures, while diminishing waste generation, too. Thus, it renders production processes more efficient and contributes to their overall sustainability. Graphical abstract

Optical Micro-Scanning X-Ray Real-Time Imaging Method

2016 ◽  
Vol 53 (5) ◽  
pp. 051102
Author(s):  
高美静 Gao Meijing ◽  
许伟 Xu Wei ◽  
吴伟龙 Wu Weilong ◽  
王静媛 Wang Jingyuan
Keyword(s):  
Real Time ◽  
Imaging Method ◽  
X Ray ◽  
Real Time Imaging

scholarly journals An investigation of the use of transmission ultrasound to guide minimally invasive thermal therapy

2021 ◽  
Author(s):  
Elham Soleimankhani
Keyword(s):  
Minimally Invasive ◽  
Real Time ◽  
Structural Changes ◽  
Imaging Modality ◽  
Thermal Therapy ◽  
Tissue Temperature ◽  
Imaging Method ◽  
Target Tissue ◽  
Acoustic Attenuation ◽  
Real Time Imaging

Minimally Invasive Thermal Therapy (MITT) is an effective way for the treatment of localized cancer and could replace surgery, chemotherapy or radiation. During MITT, high temperatures in the range of 55-95 °C are produced locally in the target tissue or tumour, resulting in localized protein coagulation. A real-time imaging method is required to guide the procedure of thermal therapy. Ideally, this imaging modality should be noninvasive, inexpensive and easily used and interpreted. It is known that acoustic attenuation is sensitive to both the tissue temperature and the structural changes due to protein coagulation (the endpoint of any thermal therapy treatment) during thermal therapy. Transmission ultrasound imaging is a real-time imaging modality which measures the attenuation property of ultrasound. The goal of this work is to demonstrate the potential of ultrasound attenuation imaging during MITT to quantitatively monitor lesion formation dynamics. An important finding of the present study is that the temporal changes in acoustic attenuation during MITT follow a reproducible pattern in albumen phantoms and bovine liver tissue within the range of thermal therapy temperatures. After heating, the measured attenuation remains higher than the initial amount, suggesting that this irreversible increase is a result of the structural change due to protein coagulation.

Towards industrial applications of terahertz real-time imaging

2018 ◽  
Author(s):  
François Simoens ◽  
Laurent Dussopt ◽  
Jérôme Meilhan ◽  
Jean-Alain Nicolas ◽  
Nicolas Monnier ◽  
...  
Keyword(s):  
Real Time ◽  
Industrial Applications ◽  
Real Time Imaging

Enhancement of Real-Time THz Imaging System Based on 320 × 240 Uncooled Microbolometer Detector

2016 ◽  
Vol 37 (10) ◽  
pp. 965-976 ◽  
Author(s):  
Xing Zheng ◽  
Zhiming Wu ◽  
Jun Gou ◽  
Ziji Liu ◽  
Jun Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Imaging System ◽  
Thz Imaging ◽  
Uncooled Microbolometer

scholarly journals Carbon Dioxide Sensing with Langmuir–Blodgett Graphene Films

Chemosensors ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 342
Author(s):  
Stevan Andrić ◽  
Milija Sarajlić ◽  
Miloš Frantlović ◽  
Ivana Jokić ◽  
Dana Vasiljević-Radović ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Gas Sensors ◽  
Dynamic Range ◽  
Response Times ◽  
Carbon Dioxide Concentration ◽  
High Sensitivity ◽  
Industrial Applications ◽  
Ease Of Use ◽  
Practical Applications ◽  
Langmuir Blodgett

Graphene has become a material of choice for an increasing number of scientific and industrial applications. It has been used for gas sensing due to its favorable properties, such as a large specific surface area, as well as the sensitivity of its electrical parameters to adsorption processes occurring on its surface. Efforts are ongoing to produce graphene gas sensors by using methods that are compatible with scaling, simple deposition techniques on arbitrary substrates, and ease of use. In this paper, we demonstrate the fabrication of carbon dioxide gas sensors from Langmuir–Blodgett thin films of sulfonated polyaniline-functionalized graphene that was obtained by using electrochemical exfoliation. The sensor was tested within the highly relevant concentration range of 150 to 10,000 ppm and 0% to 100% at room temperature (15 to 35 °C). The results show that the sensor has both high sensitivity to low analyte concentrations and high dynamic range. The sensor response times are approximately 15 s. The fabrication method is simple, scalable, and compatible with arbitrary substrates, which makes it potentially interesting for many practical applications. The sensor is used for real-time carbon dioxide concentration monitoring based on a theoretical model matched to our experimental data. The sensor performance was unchanged over a period of several months.

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