Article
Biochemical Research Methods
Pramila Thapa, Veena Singh, Sunil Bhatt, Shilpa Tayal, Priyanka Mann, Kiran Maurya, Deepika Mishra, Dalip Singh Mehta
Summary: This article demonstrates a multimodal optical system that combines fluorescence micro-endoscopy and spectroscopy with oblique illumination. The system utilizes a graded index rod-lens for compactness and portability, and overcomes the issue of undesired reflections. Experimental results show that the system has high spatial and spectral resolution.
JOURNAL OF BIOPHOTONICS
(2022)
Article
Biochemical Research Methods
Harry Alexander Charles Wood, Katjana Ehrlich, Stephanos Yerolatsitis, Andras Kufcsak, Tom Michael Quinn, Susan Fernandes, Dominic Norberg, Nia Caitlin Jenkins, Vikki Young, Irene Young, Katie Hamilton, Sohan Seth, Ahsan Akram, Robert Rodrick Thomson, Keith Finlayson, Kevin Dhaliwal, James Morgan Stone
Summary: We have developed an endoscopic probe that integrates three optical fibre technologies to enable real-time optical biopsies in the distal lung. The probe combines high-resolution imaging fibre, multimode fibre for fluorescence spectroscopy, and hollow-core fibre for Raman spectroscopy. It has been demonstrated to be flexible enough to navigate in small loops and can be used in human airways with the help of a bronchoscope.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Chemistry, Analytical
Yunhe Zhang, Yixin Lu, Zhanqin Zhang, Zhuowen Liang, Qianqian Xiao, Kaijian Shao, Yu Wang, Jiawei Zhang, Shuang Wang
Summary: Accurate assessment of blood content in biological tissues is crucial for diagnosing and monitoring various diseases. A multispectral endoscopic imaging system was developed to capture tissue reflection optical images and evaluate blood content and tissue composition using spectral analysis algorithm.
ANALYTICAL METHODS
(2023)
Article
Chemistry, Analytical
Tatevik Chalyan, Indy Magnus, Maria Konstantaki, Stavros Pissadakis, Zacharias Diamantakis, Hugo Thienpont, Heidi Ottevaere
Summary: This study examines noninvasive optical biosensing techniques for characterizing oak barrels used in wine aging, with the goal of developing a model to predict their lifespan without causing structural damage. Spectroscopic diagnostic techniques are used to assess chemical composition changes in the oakwood barrel and their relationship to repeated refills. Reflectance spectroscopy is found to be a valuable tool for characterizing oak barrels, with the most accurate classification performance achieved using a Partial Least Squares Discriminant Analysis model. These preliminary results show the potential for cost-effective and non-invasive biosensing techniques based on reflectance spectroscopy in assessing oak barrel quality.
Review
Medicine, General & Internal
Siddra Maryam, Marcelo Saito Nogueira, Rekha Gautam, Shree Krishnamoorthy, Sanathana Konugolu Venkata Sekar, Kiang Wei Kho, Huihui Lu, Richeal Ni Riordain, Linda Feeley, Patrick Sheahan, Ray Burke, Stefan Andersson-Engels
Summary: Oral cancer is the 16th most common cancer worldwide, and early diagnosis is challenging. Optical spectroscopy could be a non-invasive and cost-effective diagnostic technique with advantages such as cost, speed, objectivity, sensitivity, painlessness, and ease-of-use. This review provides a comprehensive overview and recent developments in optical spectroscopy for oral cancer diagnosis, emphasizing the importance of saliva-based potential biomarkers for early-stage diagnosis.
Article
Chemistry, Analytical
Cecilia Rossi, Alfonso Zoleo, Renzo Bertoncello, Moreno Meneghetti, Rita Deiana
Summary: Illuminated manuscripts are the result of a complex interaction of different skills, reflecting historical and geographical traditions in their uses and techniques. Defining the characteristics and materials of these artifacts is essential for reconstructing their history and facilitating comparison with other works. Non-invasive methods, particularly using portable instruments such as multispectral imaging and spectroscopic measurements, offer valuable support for in-depth understanding of the techniques and practices behind the creation of illuminated manuscripts.
Article
Optics
Mahmoud Al-Salihi, Rongxing Yi, Shiqi Wang, Qiang Wu, Fangrui Lin, Junle Qu, Liwei Liu
Summary: This paper introduces a method to distinguish neoplastic tissues from non-neoplastic tissues using calibration-free laser-induced breakdown spectroscopy (CF-LIBS). By analyzing the plasma emission lines of different elements, the study identified higher concentrations of major and trace elements in neoplastic tissues, especially in the early temporal observation windows. The results obtained from the CF-LIBS method were in good agreement with that of Inductive coupled plasma-optical emission spectroscopy (ICP-OES).
Article
Chemistry, Multidisciplinary
Qiaozhi Yu, Zhengjian Yao, Haolin Zhang, Zhibin Li, Zhixing Chen, Hanqing Xiong
Summary: Researchers have developed a new ultrafast time-domain spectroscopy technique called transient stimulated Raman excited fluorescence (T-SREF), which enables background-free Raman spectra of electronic-coupled vibrational modes. By exciting the sample with two successive broadband femtosecond pulse pairs and performing Fourier transform on the resulting time-domain fluorescence trace, T-SREF achieves high sensitivity at the level of a few molecules, paving the way for supermultiplexed fluorescence detection and molecular dynamics sensing.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Chemistry, Analytical
Marco Gargano, Margherita Longoni, Valeria Pesce, Maria Chiara Palandri, Aurora Canepari, Nicola Ludwig, Silvia Bruni
Summary: In this study, a comprehensive non-invasive investigation was conducted on six woodblock prints by Utagawa Kunisada, using various techniques to analyze the printing materials and support. The results provide valuable information for historians, conservators, and curators, shedding light on these previously unstudied works of art.
Article
Optics
Dmitry N. Artemyev, Anastasia A. Shatskaya
Summary: In this study, we investigated the spurious signal effects in a typical fiber-optic setup used for Raman scattering registration. By analyzing the data obtained for each system component, we found that the mode of the laser with a volume Bragg grating is one of the major causes of the spurious signals.
OPTICS AND LASER TECHNOLOGY
(2022)
Review
Gastroenterology & Hepatology
Jouke J. H. Van der Laan, Anne M. Van der Waaij, Ruben Y. Gabriels, Eleonora A. M. Festen, Gerard Dijkstra, Wouter B. Nagengast
Summary: Advancements in enhanced and magnified endoscopy have improved assessment of ileocolonic mucosa in IBD. Implementing molecular imaging in endoscopy could help overcome clinical challenges by providing real-time in vivo view of targeted biomarkers. Label-free modalities may optimize mucosal healing and dysplasia detection in IBD patients.
EXPERT REVIEW OF GASTROENTEROLOGY & HEPATOLOGY
(2021)
Article
Biochemical Research Methods
Gargi Sharma, Oana-Maria Thoma, Katharina Blessing, Robert Gal, Maximilian Waldner, Kanwarpal Singh
Summary: The study presents the development of a low-cost, reusable tethered capsule endoscopic platform for multi-mode imaging of the esophagus, with tests conducted on swine esophagus to demonstrate imaging capabilities and cost effectiveness. This device has the potential to provide esophagus imaging in underprivileged areas.
JOURNAL OF BIOPHOTONICS
(2021)
Article
Biochemical Research Methods
Gleb S. Budylin, Denis A. Davydov, Nadezhda Zlobina, Alexey Baev, Vyacheslav G. Artyushenko, Boris P. Yakimov, Evgeny A. Shirshin
Summary: Quantitative assessment of water content in tissues is vital for biomedicine. Different optical spectroscopy methods were compared for characterizing cutaneous edema, showing promising results for introducing quantitative optical water measurement technology to clinical settings.
JOURNAL OF BIOPHOTONICS
(2022)
Article
Multidisciplinary Sciences
Mihkel Pajusalu, Iaroslav Iakubivskyi, Gabriel Jorg Schwarzkopf, Olli Knuuttila, Timo Vaisanen, Maximilian Buhrer, Mario F. Palos, Hans Teras, Guillaume Le Bonhomme, Jaan Praks, Andris Slavinskis
Summary: This paper introduces a newly developed physically-based imaging simulator called SISPO, which is designed for simulating small solar system body fly-by and terrestrial planet surface missions. The simulator utilizes the Blender 3D visualization system and its Cycles rendering engine, supporting physically based rendering and texture generation. It focuses on realistic surface rendering and also includes tools for simulating common image aberrations. Its primary objective is to support small-body space mission design and computer-vision algorithm development.
Article
Chemistry, Applied
Anna Galli, Marco Gargano, Letizia Bonizzoni, Silvia Bruni, Matteo Interlenghi, Margherita Longoni, Arianna Passaretti, Michele Caccia, Christian Salvatore, Isabella Castiglioni, Marco Martini
Summary: The project Leonardesque Artists beyond the Visible was planned on the 500th anniversary of Leonardo da Vinci's death, showcasing over twenty works made by Leonardesque masters. The use of portable non-invasive imaging and spectroscopy techniques revealed detailed information about the composition and techniques used in the paintings, providing scholars and the wider public with valuable insights.
Article
Engineering, Biomedical
Li Liu, Jiasong Wu, Dengwang Li, Lotfi Senhadji, Huazhong Shu
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2019)
Article
Computer Science, Artificial Intelligence
Jiasong Wu, Shijie Qiu, Youyong Kong, Longyu Jiang, Yang Chen, Wankou Yang, Lotfi Senhadji, Huazhong Shu
Article
Multidisciplinary Sciences
Alfredo I. Hernandez, Diego Perez, Delphine Feuerstein, Corinne Loiodice, Laurence Graindorge, Gustavo Guerrero, Nadege Limousin, Frederic Gagnadoux, Yves Dauvilliers, Renaud Tamisier, Arnaud Prigent, Philippe Mabo, Amel Amblard, Lotfi Senhadji, Jean-Louis Pepin
SCIENTIFIC REPORTS
(2018)
Article
Computer Science, Information Systems
Jiasong Wu, Fuzhi Wu, Zhifang Dong, Kaiwen Song, Youyong Kong, Lotfi Senhadji, Huazhong Shu
Article
Computer Science, Artificial Intelligence
Jiasong Wu, Ling Xu, Fuzhi Wu, Youyong Kong, Lotfi Senhadji, Huazhong Shu
Article
Physiology
Henry Areiza-Laverde, Cindy Dopierala, Lotfi Senhadji, Francois Boucher, Pierre Y. Gumery, Alfredo Hernandez
Summary: The study evaluates the feasibility of acquiring ECG and ACC data from an implant in the gastric fundus and finds a high correlation with gold standard data. Results show the potential for chronic cardiovascular monitoring from an implantable cardiac device at the gastric location, with the main challenge being the optimization of the signal-to-noise ratio, especially for handling specific noise sources.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Jiasong Wu, Xiang Qiu, Jing Zhang, Fuzhi Wu, Youyong Kong, Guanyu Yang, Lotfi Senhadji, Huazhong Shu
Summary: The proposed Generative Fractional Scattering Networks (GFRSNs) use more expressive fractional wavelet scattering networks as the encoder and can generate better images on testing datasets compared to the original Generative Scattering Networks (GSNs).
FRONTIERS IN NEUROROBOTICS
(2021)
Article
Computer Science, Hardware & Architecture
Ismail Hadj Ahmed, Abdelghani Djebbari, Amar Kachenoura, Lotfi Senhadji
Summary: Heart rate variability signal is a valuable tool for cardiovascular system diagnostics, used to detect arrhythmia and abnormalities in the autonomic nervous system. Quadratic time-frequency analysis of the signal can help detect various cardiovascular pathologies. A client-server telemedical platform was developed for real-time remote monitoring of cardiovascular function in arrhythmia patients, allowing immediate interaction in case of alarms.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
Fuzhi Wu, Jiasong Wu, Youyong Kong, Chunfeng Yang, Guanyu Yang, Huazhong Shu, Guy Carrault, Lotfi Senhadji
Summary: This paper establishes the connection between CNNs and signal modulation, explains the forward and back-propagation processes of CNNs, and verifies that modulating the signal to the appropriate energy spectrum distribution can improve classification and segmentation accuracy.
Article
Engineering, Multidisciplinary
Jiasong Wu, Fuzhi Wu, Qihan Yang, Yan Zhang, Xilin Liu, Youyong Kong, Lotfi Senhadji, Huazhong Shu
MATHEMATICAL PROBLEMS IN ENGINEERING
(2020)
Proceedings Paper
Engineering, Biomedical
Diego Perez, Gabriel Dieuset, Maxime Yochum, Lotfi Senhadji, Benoit Martin, Virginie Le Rolle, Alfredo Hernandez
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2019)
Proceedings Paper
Computer Science, Information Systems
Jinpeng Xia, Jiasong Wu, Fuzhi Wu, Youyong Kong, Pinzheng Zhang, Lotfi Senhadji, Huazhong Shu
2019 SEVENTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD)
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Nada Chendeb Taher, Imane Mallat, Nazim Agoulmine, Nour El-Mawass
2019 3RD INTERNATIONAL CONFERENCE ON BIO-ENGINEERING FOR SMART TECHNOLOGIES (BIOSMART)
(2019)
Proceedings Paper
Computer Science, Information Systems
Nasrin Taheri, Xu Han, Ahmad Karfoul, Karim Ansari-Asl, Isabelle Merlet, Lotfi Senhadji, Laurent Albera, Amar Kachenoura
2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS
(2018)
Proceedings Paper
Computer Science, Information Systems
M. Saleh, A. Karfoul, A. Kachenoura, L. Albera, L. Senhadji
2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS
(2018)
