scholarly journals To Predict the Lightfastness of Prints on Foil Applying Artificial Neural Network

2020 ◽  
Vol 2020 (1) ◽  
pp. 27-32
Author(s):  
Mahasweta Mandal ◽  
Swati Bandyopadhyay

Archives, libraries, and commercial firms are utilizing new advanced imaging methods for research into cultural heritage objects. New technical systems, including the latest multispectral (MSI) and x-ray fluorescence (XRF) imaging systems and higher resolution cameras raise major challenges for not only the integration of new technologies, but also the ability to store, manage and access large amounts of data in archives and libraries. Recent advanced imaging of ancient Syriac palimpsests (parchment manuscripts with hidden texts embedded within them) demonstrated an approach that utilized multiple imaging techniques and integration and analysis of data from multiple sources. Three palimpsest imaging projects (Archimedes Palimpsest, Syriac Galen Palimpsest, HMML Palimpsest) supported research with a range of advanced imaging techniques with MSI and XRF, requiring implementation and standardization of new digitization and data management practices for the integration, preservation and sharing of advanced image data.

2021 ◽  
Vol 2021 (1) ◽  
pp. 107-112
Author(s):  
Andrea J. Loewenwarter ◽  
Margaret L. Misch ◽  
Kristin Jacobsen ◽  
Mills Kelly ◽  
Michael B. Toth

Historic properties face challenges preserving and maintaining their physical heritage, as well as digitally sharing and accessing their history in a virtual environment. They are now utilizing new advanced imaging methods to research their cultural heritage artifacts. Recent advanced imaging in historic Civil War-era houses demonstrated the integration of imaging techniques and data to support conservation of these structures and research into their history and contents. New technical systems, including the latest narrowband multispectral imaging systems and higher resolution cameras, raise major challenges in not only the integration of new technologies, but also the ability to store, manage and access large amounts of data. Integration, preservation, access and collaboration with the image data from this program requires implementation of standardized digitization and data archiving practices.


Author(s):  
Xiao Zhang

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.


Author(s):  
Dipayan Das ◽  
KC Santosh ◽  
Umapada Pal

Abstract Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in less than a couple of months, and the infection, caused by SARS-CoV-2, is spreading at an unprecedented rate. AI-driven tools are used to identify Coronavirus outbreaks as well as forecast their nature of spread, where imaging techniques are widely used, such as CT scans and chest X-rays (CXRs). In this paper, motivated by the fact that X-ray imaging systems are more prevalent and cheaper than CT scan systems, a deep learning-based Convolutional Neural Network (CNN) model, which we call Truncated Inception Net, is proposed to screen COVID-19 positive CXRs from other non-COVID and/or healthy cases. To validate our proposal, six different types of datasets were employed by taking the following CXRs: COVID-19 positive, Pneumonia positive, Tuberculosis positive, and healthy cases into account. The proposed model achieved an accuracy of 99.96% (AUC of 1.0) in classifying COVID- 19 positive cases from combined Pneumonia and healthy cases. Similarly, it achieved an accuracy of 99.92% (AUC of 0.99) in classifying COVID-19 positive cases from combined Pneumonia, Tuberculosis and healthy CXRs. To the best of our knowledge, as of now, the achieved results outperform the existing AI-driven tools for screening COVID-19 using CXRs.


2014 ◽  
Vol 898 ◽  
pp. 614-617
Author(s):  
Rui Hong Li ◽  
Yue Ping Han

The present paper reviews the X-ray grating imaging systems at home and abroad from the aspects of technological characterizations and the newest researching focus. First, not only the imaging principles and the frameworks of the typical X-ray grating imaging system based on Talbot-Lau interferometry method, but also the algorithms of retrieving the signals of attenuation, refraction and small-angle scattering are introduced. Second, the system optimizing methods are discussed, which involves mainly the relaxing the requirement of high positioning resolution and strict circumstances for gratings and designing large field of view with high resolution. Third, two and four-dimensional grating-based X-ray imaging techniques are introduced.


2013 ◽  
Author(s):  
Jae-woo Kim ◽  
Jin-Woo Jeong ◽  
Jun-Tae Kang ◽  
Sungyoul Choi ◽  
Jeongyong Choi ◽  
...  

2016 ◽  
Vol 87 (1) ◽  
pp. 110-132 ◽  
Author(s):  
M Parada ◽  
D Derome ◽  
RM Rossi ◽  
J Carmeliet

This review covers imaging techniques of wicking in textiles ranging from visible light to synchrotron x-ray. First, the wicking phenomenon and its relevance are exposed. Then, the main wicking experimental setups, namely the strip test and the spot test, are described. Next, the imaging techniques are described together with the relevant studies applied to wicking. Finally, the analysis of wicking measurements is presented. The conclusion presents imaging techniques applied to wicking in a historical perspective and highlights areas where further development is desirable.


2016 ◽  
Author(s):  
Alessandra Gianoncelli ◽  
George Kourousias ◽  
Matteo Altissimo ◽  
Diana E. Bedolla ◽  
Lucia Merolle ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Sarah Sutter ◽  
Atanas Todorov ◽  
Tarek Ismail ◽  
Alexander Haumer ◽  
Ilario Fulco ◽  
...  

Objectives. Bone ischemia and necrosis are challenging to treat, requiring investigation of native and engineered bone revascularisation processes through advanced imaging techniques. This study demonstrates an experimental two-step method for precise bone and vessel analysis in native bones or vascularised bone grafts using X-ray microtomography (μCT), without interfering with further histological processing. Methods. Distally ligated epigastric arteries or veins of 6 nude rats were inserted in central channels of porous hydroxyapatite cylinders and these pedicled grafts were implanted subcutaneously. One week later, the rats were perfused with ink-gelatin and euthanised and the femurs, tibias, and grafts were explanted. Samples were scanned using μCT, decalcified, incubated with phosphotungstic acid (PTA) for contrast enhancement, rescanned, and processed histologically. Results. Contrast-enhanced μCT displayed the course and branching of native bone vessels. Histologically, both central (−17%) and epiphyseal vessels (−58%) appeared smaller than in μCT scans. Hydroxyapatite cylinders were thoroughly vascularised but did not display bone formation. Grafts with a central artery had more (+58%) and smaller (−52%) vessel branches compared to grafts with a vein. Conclusions. We present a relatively inexpensive and easy-to-perform two-step method to analyse bone and vessels by μCT, suitable to assess a variety of bone-regenerative strategies.


Coatings ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 244
Author(s):  
Jakub Sandak ◽  
Anna Sandak ◽  
Lea Legan ◽  
Klara Retko ◽  
Maša Kavčič ◽  
...  

Advanced imaging techniques can noninvasively characterise, monitor, and evaluate how conservation treatments affect cultural heritage objects. In this specific field, hyperspectral imaging allows nondestructive characterisation of materials by identifying and characterising colouring agents, binders, and protective coatings as components of an object’s original construction or later historic additions. Furthermore, hyperspectral imaging can be used to monitor deterioration or changes caused by environmental conditions. This paper examines the potential of hyperspectral imaging (HSI) for the evaluation of heritage objects. Four cameras operating in different spectral ranges were used to nondestructively scan a beehive panel painting that originated from the Slovene Ethnographic Museum collection. The specific objective of this research was to identify pigments and binders present in the samples and to spatially map the presence of these across the surface of the art piece. Merging the results with databases created in parallel using other reference methods allows for the identification of materials originally used by the artist on the panel. Later interventions to the original paintings can also be traced as part of past conservation campaigns.


Sign in / Sign up

Export Citation Format

Share Document