Article
Neurosciences
Wei Wu, Luwei Kang, Yueqin Liu, Xiao Ma, Xinxin Zhang, Yupeng Yang
Summary: Long-term monocular deprivation is necessary for significant ocular dominance plasticity in the adult visual cortex. Short-term deprivation can cause a shift in ocular dominance, detected only by near-infrared illumination. Early-stage changes primarily occur in deep cortical layers and can be abolished by blocking NMDA receptors. These findings provide insights into the dynamics of adult ocular dominance plasticity.
Article
Engineering, Electrical & Electronic
Fawen Xie, Shuangyuan Huang, Tianchao Miao, Shiman He, Zeyu Lin, Longhan Xie
Summary: Near-infrared spectroscopy (NIRS) technology is a noninvasive tool that detects changes in hemoglobin concentration in human tissues through optical signals, allowing for the determination of muscle activation states. A multichannel NIRS system is essential for motion recognition, and the wireless communication and equipped upper computer system improve real-time monitoring and accuracy. The analysis of NIRS signals using common mode and difference mode shows superior performance.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Physical
Fei Wang, Shuming Yang, Shaobo Li, Shuhao Zhao, Biyao Cheng, Chengsheng Xia
Summary: This study successfully obtained high-order near-field optical signals using a platinum-coated optical probe (Pt-Si probe), leading to improved imaging results.
Article
Chemistry, Multidisciplinary
Takeshi Fukuda, Shinya Yokomizo, Stefanie Casa, Hailey Monaco, Sophia Manganiello, Haoran Wang, Xiangmin Lv, Amy Daniel Ulumben, Chengeng Yang, Min-Woong Kang, Kazumasa Inoue, Masahiro Fukushi, Toshiyuki Sumi, Cheng Wang, Homan Kang, Kai Bao, Maged Henary, Satoshi Kashiwagi, Hak Soo Choi
Summary: The residual tumor after surgery is the most important prognostic factor for patients with epithelial ovarian cancer. Currently available contrast-enhancing agents have limitations for clinical use due to their low on-target binding, unfavorable pharmacokinetics, and toxicity. The study introduces a novel ultrabright and stable squaraine fluorophore called OCTL14, which demonstrates optimal pharmacokinetics and rapid cellular uptake. The charged squaraine fluorophores also provide durable intraoperative imaging by being retained in lysosomes in a preclinical murine model of ovarian cancer.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Engineering, Electrical & Electronic
Naser Hakimi, Jorn M. M. Horschig, Thomas Alderliesten, Mathijs Bronkhorst, Marianne J. J. Floor-Westerdijk, Frank van Bel, Willy N. J. M. Colier, Jeroen Dudink
Summary: This study proposes a novel algorithm, NIRS HR (NHR), for extracting heart rate from NIRS signals in neonates. The results show that the NHR algorithm has a higher correlation and lower error rate compared to existing algorithms.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Biotechnology & Applied Microbiology
Giorgia Zambito, Gunja Mishra, Christopher Schliehe, Laura Mezzanotte
Summary: Melanoma is an aggressive type of skin cancer with a poor prognosis. Early detection is crucial for effective therapy. Recent research has shown that the interaction between melanoma cells and the immune system can aid in the development of efficient treatment strategies. This study used engineered macrophages as cell-based sensors to detect metastatic melanoma, demonstrating the potential of using optical imaging technologies to track circulating macrophages for non-invasive detection of the disease.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Review
Chemistry, Multidisciplinary
Pengye Du, Yi Wei, Yuan Liang, Ran An, Shuyu Liu, Pengpeng Lei, Hongjie Zhang
Summary: Rare earth nanoparticles (RENPs) have shown great potential in optical imaging and wireless phototherapy for the treatment of malignant diseases due to their excellent optical properties. This review discusses the mechanisms underlying the response of RENPs to near-infrared (NIR) light and summarizes recent advancements in their applications in various therapeutic modalities. The challenges and opportunities for the use of NIR-responsive RENPs in optical imaging and wireless phototherapy are also analyzed.
Article
Multidisciplinary Sciences
Zhuoran Ma, Feifei Wang, Weizhi Wang, Yeteng Zhong, Hongjie Dai
Summary: This study utilized artificial neural networks to transform fluorescence images in the shorter-wavelength NIR window to images resembling NIR-IIb window, achieving high signal-to-background ratio in vivo lymph node imaging with human-approved molecular probes. Translation of PD-L1 or EGFR imaging greatly enhanced tumor-to-normal tissue ratio and improved tumor margin localization, showcasing the potential of deep learning in enhancing noninvasive NIR imaging and microscopy. Deep learning equipped NIR imaging could facilitate basic biomedical research and clinical diagnostics and imaging-guided surgery.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Biophysics
Chloe N. Thomas, Nada Alfahad, Nicholas Capewell, Jamie Cowley, Eleanor Hickman, Antonio Fernandez, Neale Harrison, Omar S. Qureshi, Naomi Bennett, Nicholas M. Barnes, Andrew D. Dick, Colin J. Chu, Xiaoxuan Liu, Alastair K. Denniston, Marc Vendrell, Lisa J. Hill
Summary: This study investigates the potential use of photostable novel triazole NIR cyanine (TNC) dyes for detecting and characterising activated T-cell activity within the eye. The results demonstrate that TNC-1 and TNC-2 dyes exhibit greater fluorescence intensity than ICG and do not cause ocular cell toxicity at working concentrations of 10μM. The study suggests that TNC dyes have potential as a diagnostic marker for ocular inflammatory diseases.
BIOSENSORS & BIOELECTRONICS
(2022)
Review
Pharmacology & Pharmacy
Fei Ding, Jing Feng, Xueli Zhang, Jielin Sun, Chunhai Fan, Zhilei Ge
Summary: Optical imaging is crucial in biomedicine and theragnostic, but faces limitations in deep-tissue visualization due to light scattering and tissue autofluorescence. Responsive optical probes are designed for precise diagnosis and surgery excision by specific reactions with biological analytes or disease biomarkers.
ADVANCED DRUG DELIVERY REVIEWS
(2021)
Review
Chemistry, Multidisciplinary
Zi'an Wang, Xuan Wang, Jian-Bo Wan, Fujian Xu, Nana Zhao, Meiwan Chen
Summary: This review summarizes the latest progress of NIR-II optical imaging for angiography, including fluorescence imaging, photoacoustic imaging, and optical coherence tomography. It highlights the optimization and application of probes in vascular imaging.
Article
Neurosciences
Giles Blaney, Cristianne Fernandez, Angelo Sassaroli, Sergio Fantini
Summary: This study focuses on the contamination of optical signals in non-invasive optical measurements of the human brain caused by superficial hemodynamics. The authors identified optimal source-detector distances for dual-slope measurements in frequency-domain near-infrared spectroscopy (NIRS) and demonstrated the preferential sensitivity of dual-slope imaging to deeper tissue (brain) compared to superficial tissue (scalp). The results showed that the mean distance between the two source-detector distances is the key factor for depth sensitivity. Dual-slope imaging with frequency-domain NIRS may suppress confounding contributions from superficial hemodynamics and has significant implications for non-invasive optical measurements of the human brain.
Article
Chemistry, Analytical
Naser Hakimi, Mohammad Shahbakhti, Joern M. Horschig, Thomas Alderliesten, Frank Van Bel, Willy N. J. M. Colier, Jeroen Dudink
Summary: This study aimed to extract respiratory rate from neonatal NIRS signals to monitor the impact of breathing on cerebral hemodynamics. A novel algorithm called NRR was developed and showed high agreement with the reference respiratory rate (84.5%). The NRR algorithm outperformed existing methods in terms of accuracy and correlation.
Article
Optics
Jian Xiong, Xusheng Cai, Kaiyu Cui, Yidong Huang, Jiawei Yang, Hongbo Zhu, Wenzheng Li, Bo Hong, Shijie Rao, Zekun Zheng, Sheng Xu, Yuhan He, Fang Liu, Xue Feng, Wei Zhang
Summary: Spectral imaging plays an important role in various fields, especially in biomedical research. However, current spectral imaging techniques cannot achieve high temporal, spatial, and spectral resolution simultaneously. In this study, a silicon real-time ultraspectral imaging chip based on reconfigurable metasurfaces was developed, which offers high accuracy and resolution. Imaging of brain hemodynamics and the absorption properties of hemoglobin in a rat barrel cortex were successfully obtained, providing insights for in vivo spectroscopy studies and real-time applications.
Article
Engineering, Environmental
Takato Uema, Toshiya Ohata, Yutaka Washizuka, Ryo Nakanishi, Daisuke Kawashima, Naoto Kakuta
Summary: This paper presents a near-infrared imaging method for measuring concentrations of acid, base, and produced salt simultaneously in a microfluidic channel. Linear correlation models are used to convert absorbance to concentrations, and the images show clear concentration changes and salt production at the interface between acid and base solutions. This method has potential for analyzing reactions, mixing, and separation between aqueous components.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Multidisciplinary Sciences
Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, Martina d'Annibale, Pierpaolo Croce, Consuelo Rosa, Domenico Mastrodicasa, Stefano Trebeschi, Doenja Marina Johanna Lambregts, Daniele Caposiena, Francesco Lorenzo Serafini, Raffaella Basilico, Giulio Cocco, Pierluigi Di Sebastiano, Sebastiano Cinalli, Antonio Ferretti, Richard Geoffrey Wise, Domenico Genovesi, Regina G. H. Beets-Tan, Massimo Caulo
Summary: A machine learning model combining pre-treatment MRI-based clinical and radiomic features showed promising results in predicting treatment response in LARC patients. By incorporating both clinical and radiomic features extracted from MRI scans, the model improved prediction accuracy, highlighting the potential of radiomics in precision medicine for rectal cancer.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Wei Lu, Wubin Bai, Hao Zhang, Chenkai Xu, Antonio M. Chiarelli, Abraham Vazquez-Guardado, Zhaoqian Xie, Haixu Shen, Khizar Nandoliya, Hangbo Zhao, KunHyuck Lee, Yixin Wu, Daniel Franklin, Raudel Avila, Shuai Xu, Alina Rwei, Mengdi Han, Kyeongha Kwon, Yujun Deng, Xinge Yu, Edward B. Thorp, Xue Feng, Yonggang Huang, Joseph Forbess, Zhi-Dong Ge, John A. Rogers
Summary: The wireless, miniaturized, implantable optoelectronic catheter system introduced in this report offers high performance and patient-friendly monitoring of cardiopulmonary health, avoiding the risks and limitations associated with traditional technologies. In vitro and in vivo testing shows equivalent measurement accuracy and precision to existing clinical standards.
Article
Neurosciences
Antonio M. Chiarelli, Carlo Sestieri, Riccardo Navarra, Richard G. Wise, Massimo Caulo
Summary: Premature birth has bidirectional effects on functional connectivity and regional volume, and to a lesser extent on fALFF. The effects of prematurity on functional connectivity are spatially diffuse, mainly within cortical regions, while effects on regional volume and fALFF are more focal, involving subcortical structures. Multivariate analysis is more sensitive in capturing the complex pattern of prematurity effects.
HUMAN BRAIN MAPPING
(2021)
Article
Chemistry, Multidisciplinary
Chiara Filippini, Daniela Cardone, David Perpetuini, Antonio Maria Chiarelli, Giulio Gualdi, Paolo Amerio, Arcangelo Merla
Summary: Raynaud's phenomenon is a microvascular disorder causing transient ischemia, which can be associated with connective tissue diseases. Differential diagnosis between primary RP and RP secondary to systemic sclerosis is essential for proper therapeutic management. The use of thermal infrared imaging, along with a deep convolutional neural network, shows promising results in differentiating between these conditions.
APPLIED SCIENCES-BASEL
(2021)
Article
Endocrinology & Metabolism
Antonio M. Chiarelli, Michael Germuska, Hannah Chandler, Rachael Stickland, Eleonora Patitucci, Emma Biondetti, Daniele Mascali, Neeraj Saxena, Sharmila Khot, Jessica Steventon, Catherine Foster, Ana E. Rodriguez-Soto, Erin Englund, Kevin Murphy, Valentina Tomassini, Felix W. Wehrli, Richard G. Wise
Summary: This study presents a single gas calibrated fMRI method for mapping CMRO2 by linking blood volume and CBF to OEF. The method was demonstrated to be feasible within physiological ranges and showed high correlation with the traditional dc-fMRI method. The simplified calibrated fMRI using hypercapnia holds promise for clinical application.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2022)
Article
Instruments & Instrumentation
C. Filippini, D. Cardone, D. Perpetuini, A. M. Chiarelli, L. A. Petitto, A. Merla
Summary: This study investigates infants' psychophysiological responses during interactions with a robot and a virtual human/avatar. The results reveal differences in infants' physiological response to different agents, shedding light on the impact of artificial-intelligent-agents on infants' emotional, social, and language learning during the crucial first year of life.
QUANTITATIVE INFRARED THERMOGRAPHY JOURNAL
(2023)
Article
Biology
David Perpetuini, Damiano Formenti, Pierpaolo Iodice, Daniela Cardone, Chiara Filippini, Antonio Maria Chiarelli, Giovanni Michielon, Athos Trecroci, Giampietro Alberti, Arcangelo Merla
Summary: This study examined the capability of infrared thermography (IRT) to assess the physiological effects of fatigue during exercise by measuring facial skin and muscle temperature changes. The results showed that IRT can detect both central and peripheral responses to physical exercise, providing the possibility of monitoring the psychophysiological state of athletes during training.
Article
Anatomy & Morphology
Valeria Onofrj, Antonio Maria Chiarelli, Richard Wise, Cesare Colosimo, Massimo Caulo
Summary: The salience network (SN), ventral attention network (VAN), dorsal attention network (DAN), and default mode network (DMN) have significant interactions and can infer the gestational age at birth and the connectivity of other networks. The VAN plays a prominent role in bottom-up salience detection in early infancy and may overlap with the SN in bottom-up control of attention.
BRAIN STRUCTURE & FUNCTION
(2022)
Article
Endocrinology & Metabolism
Hannah L. Chandler, Rachael C. Stickland, Eleonora Patitucci, Michael Germuska, Antonio M. Chiarelli, Catherine Foster, Shona Bhome-Dhaliwal, Thomas M. Lancaster, Neeraj Saxena, Sharmila Khot, Valentina Tomassini, Richard G. Wise
Summary: By using dual-calibrated functional magnetic resonance imaging (dc-fMRI), we found that cerebral blood flow, oxygen consumption, and oxygen diffusivity were significantly reduced in patients with multiple sclerosis (MS), while mitochondrial oxygen pressure was increased. These findings may indicate reduced oxygen demand or utilization in the MS brain and mitochondrial dysfunction.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2023)
Article
Multidisciplinary Sciences
Antonio Maria Chiarelli, Alessandro Villani, Daniele Mascali, Nikolaos Petsas, Emma Biondetti, Alessandra Caporale, Anna Digiovanni, Eleonora Agata Grasso, Paola Ajdinaj, Maria D'Apolito, Marianna Gabriella Rispoli, Stefano Sensi, Kevin Murphy, Carlo Pozzilli, Richard G. Wise, Valentina Tomassini
Summary: This study investigated the relationship between cerebrovascular reactivity (CVR) and neuroinflammation in patients with multiple sclerosis (MS). The findings showed lower CVR in patients before treatment compared to healthy controls and a negative correlation between pre-treatment CVR and grey matter volume. During treatment, CVR increased and was negatively correlated with pre-treatment CVR. Reduction in enhancing lesions was associated with increased CVR. The resolution of inflammation may restore altered cerebrovascular function in MS.
SCIENTIFIC REPORTS
(2022)
Article
Neurosciences
Eleonora Piccirilli, Antonio M. Chiarelli, Carlo Sestieri, Daniele Mascali, Darien Calvo Garcia, Adele Primavera, Rita Salomone, Richard G. Wise, Antonio Ferretti, Massimo Caulo
Summary: In preterm infants, disturbances in regional cerebral blood flow (CBF) can affect brain maturation and may not be associated with brain injury. This study aimed to investigate the spatial distribution of grey matter CBF in preterm and full-term newborns, as well as the relationship between CBF patterns, prematurity, and prematurity-related brain lesions. Using pCASL MRI, CBF measurements were obtained in 66 preterm and 38 full-term newborns. The findings showed that GM perfusion was associated with gestational age at birth and the presence of brain injury. The study also identified specific clusters of brain regions based on CBF patterns. These findings suggest that ASL MRI can be a valuable tool in assessing individuals at risk of domain-specific impairment.
HUMAN BRAIN MAPPING
(2023)
Article
Biotechnology & Applied Microbiology
David Perpetuini, Mehmet Gunal, Nicole Chiou, Sanmi Koyejo, Kyle Mathewson, Kathy A. Low, Monica Fabiani, Gabriele Gratton, Antonio Maria Chiarelli
Summary: A brain-computer interface (BCI) allows users to control external devices through brain activity. Portable neuroimaging techniques, such as near-infrared (NIR) imaging, are suitable for this goal. Researchers used a frequency-domain optical system to acquire fast optical signals (FOS) from the visual cortex and successfully classified visual stimulation quadrants using machine learning, paving the way for real-time BCI applications using FOS.
BIOENGINEERING-BASEL
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Piero Chiacchiaretta, Domenico Mastrodicasa, Antonio Maria Chiarelli, Riccardo Luberti, Pierpaolo Croce, Mario Sguera, Concetta Torrione, Camilla Marinelli, Chiara Marchetti, Angelucci Domenico, Giulio Cocco, Angela Di Credico, Alessandro Russo, Claudia D'Eramo, Antonio Corvino, Marco Colasurdo, Stefano L. Sensi, Marzia Muzi, Massimo Caulo, Andrea Delli Pizzi
Summary: Radiomics features extracted from MRI images of the tumor and peritumoral tissues can predict the risk of breast cancer recurrence. A radiomics-based machine learning approach shows potential for accurately predicting recurrence risk in early ER+/HER2- breast cancer patients.
JOURNAL OF DIGITAL IMAGING
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
David Perpetuini, Chiara Filippini, Antonio Maria Chiarelli, Daniela Cardone, Sergio Rinella, Simona Massimino, Francesco Bianco, Valentina Bucciarelli, Vincenzo Vinciguerra, Piero Fallica, Vincenzo Perciavalle, Sabina Gallina, Arcangelo Merla
Summary: Through the study, a novel method using Deep Convolutional Neural Network (DCNN) model was presented to accurately predict the cardiovascular disease marker AIx and perform cardiovascular risk classification. This suggests that photoplethysmography (PPG) and DCNN approaches could potentially be used for wearable device-based screenings of cardiovascular risk.
INFRARED SENSORS, DEVICES, AND APPLICATIONS XI
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Chiara Filippini, Antonio Maria Chiarelli, Daniela Cardone, David Perpetuini, Lorenza Brescia, Luca Agnifili, Leonardo Mastropasqua, Arcangelo Merla
Summary: The study introduced a novel, fast, and automatic method for assessing age-related ocular surface modifications (AR-OSM) by combining thermal infrared imaging with artificial intelligence techniques. Accurate detection of AR-OSM in healthy individuals can help establish normal ranges for age-matched individuals, aiding in the early identification of age-related diseases. The deep convolutional neural network (DCNN) model accurately predicted participants' age based on their eye IR-image, showing a correlation between real and predicted age of r=0.82 and RMSE=9.9 years.
INFRARED SENSORS, DEVICES, AND APPLICATIONS XI
(2021)
