The illuminated manuscript Corale 43 and its attribution to Beato Angelico: Non-invasive analysis by FORS, XRF and hyperspectral imaging techniques

2018 ◽  
Vol 138 ◽  
pp. 45-57 ◽  
Author(s):  
Costanza Cucci ◽  
Susanna Bracci ◽  
Andrea Casini ◽  
Silvia Innocenti ◽  
Marcello Picollo ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Imaging Techniques ◽  
Non Invasive ◽  
Illuminated Manuscript

scholarly journals Innovative data reduction and visualization strategy for hyperspectral imaging datasets using t-SNE approach

2018 ◽  
Vol 90 (3) ◽  
pp. 493-506 ◽  
Author(s):  
Emeline Pouyet ◽  
Neda Rohani ◽  
Aggelos K. Katsaggelos ◽  
Oliver Cossairt ◽  
Marc Walton
Keyword(s):  
Hyperspectral Imaging ◽  
Data Reduction ◽  
Linear Representation ◽  
Current Data ◽  
Hyperspectral Data ◽  
Data Cube ◽  
Imaging Method ◽  
Non Invasive ◽  
Illuminated Manuscript ◽  
Visualization Strategy

AbstractVisible hyperspectral imaging (HSI) is a fast and non-invasive imaging method that has been adapted by the field of conservation science to study painted surfaces. By collecting reflectance spectra from a 2D surface, the resulting 3D hyperspectral data cube contains millions of recorded spectra. While processing such large amounts of spectra poses an analytical and computational challenge, it also opens new opportunities to apply powerful methods of multivariate analysis for data evaluation. With the intent of expanding current data treatment of hyperspectral datasets, an innovative approach for data reduction and visualization is presented in this article. It uses a statistical embedding method known as t-distributed stochastic neighbor embedding (t-SNE) to provide a non-linear representation of spectral features in a lower 2D space. The efficiency of the proposed method for painted surfaces from cultural heritage is established through the study of laboratory prepared paint mock-ups, and medieval French illuminated manuscript.

scholarly journals Comparison of the Non-Invasive Monitoring of Fresh-Cut Lettuce Condition with Imaging Reflectance Hyperspectrometer and Imaging PAM-Fluorimeter

Photonics ◽  
2021 ◽  
Vol 8 (10) ◽  
pp. 425
Author(s):  
Boris Shurygin ◽  
Olga Chivkunova ◽  
Olga Solovchenko ◽  
Alexei Solovchenko ◽  
Alexey Dorokhov ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Imaging Techniques ◽  
Pulse Amplitude ◽  
Hyperspectral Data ◽  
Invasive Monitoring ◽  
Leaf Quality ◽  
Non Invasive ◽  
Quality Degradation ◽  
Advanced Stages ◽  
Fresh Cut

We compared two approaches to non-invasive proximal sensing of the early changes in fresh-cut lettuce leaf quality: hyperspectral imaging and imaging of variable chlorophyll fluorescence contained in the leaves. The estimations made by the imaging techniques were confronted with the quality assessments made by traditional biochemical assays (i.e., relative water content and foliar pigment (chlorophyll and carotenoid) composition. The hyperspectral imaging-based approach provided the highest sensitivity to the decline of fresh-cut lettuce leaf quality taking place within 24 h from cutting. Using of the imaging pulse-amplitude modulated PAM chlorophyll fluorometer was complicated by (i) weak correlation of the spatial distribution pattern of the Qy parameter with the actual physiological condition of the plant object and (ii) its high degree of heterogeneity. Accordingly, the imaging PAM-based approach was sensitive only to the manifestations of leaf quality degradation at advanced stages of the process. Sealing the leaves in polyethylene bags slowed down the leaf quality degradation at the initial stages (<three days) but promoted its rate at more advanced stages, likely due to build-up of ethylene in the bags. An approach was developed to the processing of hyperspectral data for non-invasive monitoring of the lettuce leaves with a potential for implementation in greenhouses and packing lines.

scholarly journals Non-Invasive Methods for Predicting the Quality of Processed Horticultural Food Products, with Emphasis on Dried Powders, Juices and Oils: A Review

Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3061
Author(s):  
Emmanuel Ekene Okere ◽  
Ebrahiema Arendse ◽  
Helene Nieuwoudt ◽  
Olaniyi Amos Fawole ◽  
Willem Jacobus Perold ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Hyperspectral Imaging ◽  
Imaging Techniques ◽  
Quality Attributes ◽  
Commercial Application ◽  
Spectroscopic Techniques ◽  
Non Invasive ◽  
On Line ◽  
Horticultural Products ◽  
Invasive Techniques

This review covers recent developments in the field of non-invasive techniques for the quality assessment of processed horticultural products over the past decade. The concept of quality and various quality characteristics related to evaluating processed horticultural products are detailed. A brief overview of non-invasive methods, including spectroscopic techniques, nuclear magnetic resonance, and hyperspectral imaging techniques, is presented. This review highlights their application to predict quality attributes of different processed horticultural products (e.g., powders, juices, and oils). A concise summary of their potential commercial application for quality assessment, control, and monitoring of processed agricultural products is provided. Finally, we discuss their limitations and highlight other emerging non-invasive techniques applicable for monitoring and evaluating the quality attributes of processed horticultural products. Our findings suggest that infrared spectroscopy (both near and mid) has been the preferred choice for the non-invasive assessment of processed horticultural products, such as juices, oils, and powders, and can be adapted for on-line quality control. Raman spectroscopy has shown potential in the analysis of powdered products. However, imaging techniques, such as hyperspectral imaging and X-ray computed tomography, require improvement on data acquisition, processing times, and reduction in the cost and size of the devices so that they can be adopted for on-line measurements at processing facilities. Overall, this review suggests that non-invasive techniques have the potential for industrial application and can be used for quality assessment.

scholarly journals Comparison of the Non-Invasive Monitoring of Fresh-Cut Lettuce Condition with Imaging Reflectance Hyperspectrometer and Imaging PAM-Fluorimeter

2021 ◽  
Author(s):  
Boris Shurygin ◽  
Olga Chivkunova ◽  
Olga Solovchenko ◽  
Alexei Solovchenko ◽  
Alexey Dorokhov ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Imaging Techniques ◽  
Hyperspectral Data ◽  
Invasive Monitoring ◽  
Proximal Sensing ◽  
Leaf Quality ◽  
Non Invasive ◽  
Quality Degradation ◽  
Advanced Stages ◽  
Fresh Cut

We compared two approaches to non-invasive proximal sensing of the early changes in fresh-cut lettuce leaf quality: hyperspectral imaging and imaging PAM-fluorometry of chlorophyll contained in the leaves. The assessments made by the imaging techniques were confronted with the quality assessments made by traditional biochemical assays: relative water content and foliar pigment (chlorophyll and carotenoid) composition. The hyperspectral imaging-based approach provided the highest sensitivity to the decline of fresh-cut lettuce leaf quality taking place within 24 h from cutting. Using of the imaging PAM was complicated by (i) weak correlation of the spatial distribution pattern of the Qy parameter with the actual physiological condition of the plant object and (ii) its high degree of heterogeneity. Accordingly, the imaging PAM-based approach was sensitive only to the manifestations of leaf quality degradation only at advanced stages of the process. Sealing the leaves in the polyethylene bags slowed down the leaf quality degradation at the initial stages (&amp;lt; 3 days) but promoted its rate at more advanced stages, likely due to build-up of ethylene in the bags. An approach was developed to the processing of hyperspectral data for non-invasive monitoring of the lettuce leaves with a potential for implementation in greenhouses and packinghouses.

Integration Between Computed Tomography and Nuclear Medicine for Non-invasive Assessment of Coronary Anatomy and Myocardial Perfusion

2009 ◽  
Vol 5 (2) ◽  
pp. 15
Author(s):  
Wanda Acampa ◽  
Mario Petretta ◽  
Carmela Nappi ◽  
Alberto Cuocolo ◽  
◽  
...  
Keyword(s):  
Computed Tomography ◽  
Coronary Heart Disease ◽  
Blood Flow ◽  
Heart Disease ◽  
Myocardial Perfusion ◽  
Myocardial Blood Flow ◽  
Imaging Techniques ◽  
Emission Computed Tomography ◽  
Coronary Anatomy ◽  
Non Invasive

Many non-invasive imaging techniques are available for the evaluation of patients with known or suspected coronary heart disease. Among these, computed-tomography-based techniques allow the quantification of coronary atherosclerotic calcium and non-invasive imaging of coronary arteries, whereas nuclear cardiology is the most widely used non-invasive approach for the assessment of myocardial perfusion. The available single-photon-emission computed tomography flow agents are characterised by a cardiac uptake proportional to myocardial blood flow. In addition, different positron emission tomography tracers may be used for the quantitative measurement of myocardial blood flow and coronary flow reserve. Extensive research is being performed in the development of non-invasive coronary angiography and myocardial perfusion imaging using cardiac magnetic resonance. Finally, new multimodality imaging systems have recently been developed bringing together anatomical and functional information. This article provides a description of the available non-invasive imaging techniques in the assessment of coronary anatomy and myocardial perfusion in patients with known or suspected coronary heart disease.

Semi-Quantitative Ultrasonographic Evaluation of NAFLD

2020 ◽  
Vol 26 (32) ◽  
pp. 3915-3927 ◽  
Author(s):  
Stefano Ballestri ◽  
Claudio Tana ◽  
Maria Di Girolamo ◽  
Maria Cristina Fontana ◽  
Mariano Capitelli ◽  
...  
Keyword(s):  
Liver Disease ◽  
Fatty Liver ◽  
Imaging Techniques ◽  
Metabolic Complications ◽  
Nonalcoholic Fatty Liver ◽  
Non Invasive ◽  
Increased Risk ◽  
Risk Of Progression ◽  
Progressive Liver Disease

: Nonalcoholic fatty liver disease (NAFLD) embraces histopathological entities ranging from the relatively benign simple steatosis to the progressive form nonalcoholic steatohepatitis (NASH), which is associated with fibrosis and an increased risk of progression to cirrhosis and hepatocellular carcinoma. NAFLD is the most common liver disease and is associated with extrahepatic comorbidities including a major cardiovascular disease burden. : The non-invasive diagnosis of NAFLD and the identification of subjects at risk of progressive liver disease and cardio-metabolic complications are key in implementing personalized treatment schedules and follow-up strategies. : In this review, we highlight the potential role of ultrasound semiquantitative scores for detecting and assessing steatosis severity, progression of NAFLD, and cardio-metabolic risk. : Ultrasonographic scores of fatty liver severity act as sensors of cardio-metabolic health and may assist in selecting patients to submit to second-line non-invasive imaging techniques and/or liver biopsy.

scholarly journals Current Trends in Non-Invasive Imaging of Interactions in the Liver Tumor Microenvironment Mediated by Tumor Metabolism

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3645
Author(s):  
Isabel Theresa Schobert ◽  
Lynn Jeanette Savic
Keyword(s):  
Tumor Microenvironment ◽  
Liver Cancer ◽  
Cancer Cells ◽  
Imaging Techniques ◽  
Treatment Strategies ◽  
Tumor Metabolism ◽  
Resistance Mechanisms ◽  
Metabolic Reprogramming ◽  
Non Invasive

With the increasing understanding of resistance mechanisms mediated by the metabolic reprogramming in cancer cells, there is a growing clinical interest in imaging technologies that allow for the non-invasive characterization of tumor metabolism and the interactions of cancer cells with the tumor microenvironment (TME) mediated through tumor metabolism. Specifically, tumor glycolysis and subsequent tissue acidosis in the realms of the Warburg effect may promote an immunosuppressive TME, causing a substantial barrier to the clinical efficacy of numerous immuno-oncologic treatments. Thus, imaging the varying individual compositions of the TME may provide a more accurate characterization of the individual tumor. This approach can help to identify the most suitable therapy for each individual patient and design new targeted treatment strategies that disable resistance mechanisms in liver cancer. This review article focuses on non-invasive positron-emission tomography (PET)- and MR-based imaging techniques that aim to visualize the crosstalk between tumor cells and their microenvironment in liver cancer mediated by tumor metabolism.

scholarly journals Forensic analysis of beverage stains using hyperspectral imaging

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Binu Melit Devassy ◽  
Sony George
Keyword(s):  
Hyperspectral Imaging ◽  
Crime Scene ◽  
Forensic Analysis ◽  
Classification Model ◽  
Support Vector ◽  
Additional Information ◽  
Non Invasive ◽  
Spectral Bands ◽  
Data Dimensionality Reduction ◽  
Gradient Based

AbstractDocumentation and analysis of crime scene evidences are of great importance in any forensic investigation. In this paper, we present the potential of hyperspectral imaging (HSI) to detect and analyze the beverage stains on a paper towel. To detect the presence and predict the age of the commonly used drinks in a crime scene, we leveraged the additional information present in the HSI data. We used 12 different beverages and four types of paper hand towel to create the sample stains in the current study. A support vector machine (SVM) is used to achieve the classification, and a convolutional auto-encoder is used to achieve HSI data dimensionality reduction, which helps in easy perception, process, and visualization of the data. The SVM classification model was re-established for a lighter and quicker classification model on the basis of the reduced dimension. We employed volume-gradient-based band selection for the identification of relevant spectral bands in the HSI data. Spectral data recorded at different time intervals up to 72 h is analyzed to trace the spectral changes. The results show the efficacy of the HSI techniques for rapid, non-contact, and non-invasive analysis of beverage stains.

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