Article
Chemistry, Analytical
Xiaojun Zhang, Lina Zhao, Xiaomeng Jin, Zijun Zhang, Yuxin Li
Summary: The development of highly efficient sensing systems for trace organic contaminants requires the understanding and application of excited-state inter-ligand proton transfer (ESILPT) processes. Utilizing strategically synthesized lanthanide complexes with excellent photophysical properties, a feasible pathway to construct efficient chemo-sensors for ultra-sensitive detection of nitrofuran antibiotics has been demonstrated. This advancement is expected to broaden and deepen research in complex-based luminophores, potentially useful in trace detection and biological imaging.
ANALYTICA CHIMICA ACTA
(2021)
Article
Multidisciplinary Sciences
Rui Pu, Qiuqiang Zhan, Xingyun Peng, Siying Liu, Xin Guo, Liangliang Liang, Xian Qin, Ziqing Winston Zhao, Xiaogang Liu
Summary: This study demonstrates high-efficiency emission depletion through surface migration using the effects of surface quenching and energy migration in nanocrystals. The researchers achieved super-resolution microscopy with low saturation intensities and sub-20 nm lateral resolution by utilizing this mechanism. The approach overcomes the limitations of high-intensity STED microscopy and offers autofluorescence-free, re-excitation-background-free imaging at significantly lower saturation intensities than conventional fluorophores.
NATURE COMMUNICATIONS
(2022)
Article
Optics
Zhang Wenqian, Feng Jinchao, Li Zhe, Sun Zhonghua, Jia Kebin
Summary: A new tomographic reconstruction algorithm for CELSI is proposed based on a trained Unet neural network, which shows improved image quality and quantitative accuracy compared to traditional Tikhonov, sparse, and total variation regularizations. The algorithm can reconstruct luminescent sources effectively even at depths of < 50 mm, recovering size and fluorescence yield accurately. Numerical simulations demonstrate good generalizability of the algorithm when trained on single source datasets, and it also shows high computational efficiency compared to traditional algorithms.
CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG
(2021)
Proceedings Paper
Engineering, Biomedical
Wenqian Zhang, Zhe Li, Zhonghua Sun, Kebin Jia, Jinchao Feng
Summary: This paper introduces Cherenkov-excited luminescence scanned tomography (CELST) as a novel tomographic optical imaging modality, and proposes an improved reconstruction algorithm DA-Unet, which combines dilated convolution and attention mechanism based on Unet for end-to-end reconstruction. Numerical simulations validate the superior reconstruction performance and high spatial resolution of DA-Unet, achieving image quality with PSNR of more than 35 dB and SSIM of larger than 0.95. Furthermore, DA-Unet can reconstruct luminescent source even with less boundary measurements.
MOLECULAR-GUIDED SURGERY: MOLECULES, DEVICES, AND APPLICATIONS VIII
(2022)
Article
Computer Science, Interdisciplinary Applications
Yudu Li, Yibo Zhao, Rong Guo, Tao Wang, Yi Zhang, Matthew Chrostek, Walter C. Low, Xiao-Hong Zhu, Zhi-Pei Liang, Wei Chen
Summary: A novel machine learning-based method was proposed to enhance the sensitivity of DMRSI by effectively denoising, enabling high-resolution dynamic imaging. The method was validated through theoretical analysis, computer simulations, and in vivo experiments, demonstrating its potential in tumor imaging. The integration of physics-based subspace modeling and data-driven deep learning provides a framework for denoising other spatiospectral data.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Proceedings Paper
Engineering, Biomedical
Hu Zhang, Zhe Li, Zhonghua Sun, Mengfan Geng, Kebin Jia, Jinchao Feng
Summary: Cherenkov-excited luminescence scanned imaging (CELSI) is a new emerging imaging modality that utilizes LINAC to induce Cherenkov radiation and generate luminescence through secondary excitation of molecular probes. The distribution of the molecular probes can be reconstructed using a reconstruction algorithm. However, reconstruction images often suffer from artifacts. To improve image quality, we propose a reconstruction method based on learned KSVD. Numerical simulation experiments demonstrate that the proposed algorithm can reduce artifacts in reconstructed images and improve structured similarity (SSIM) by more than 8.8% compared to existing algorithms. Additionally, our results show that the proposed algorithm performs best under different noise levels (0.5%, 1%, 2%, and 4%).
MOLECULAR-GUIDED SURGERY: MOLECULES, DEVICES, AND APPLICATIONS VIII
(2022)
Article
Optics
Yantang Huang, Senlin Peng, Jinping Liu, Zhuohong Feng, Wenqi Huang, Tingdi Liao
Summary: Remote and accurate temperature measurements in severe environments are crucial. In this study, a 1525-nm wavelength in the C band of optical fiber communication was utilized as a pumping light source for NaYF4:Er3+ phosphor with high upconversion efficiency. The temperature measurement principle of fluorescence intensity ratio was analyzed based on the thermal coupling energy level theory. The experimental results showed that the proposed optical fiber temperature sensor exhibited good hysteresis and repeatability, making it suitable for resisting electromagnetic interference and remote temperature sensing.
Article
Biology
Arthur F. Petusseau, Petr Bruza, Brian W. Pogue
Summary: X-ray induced molecular luminescence (XML) can be utilized for clinical deep-tissue functional imaging, with Cherenkov radiation as the main excitation mechanism. Among the probes studied, aluminum phthalocyanine offers the best XML yield for deep tissue use.
JOURNAL OF RADIATION RESEARCH
(2021)
Article
Chemistry, Physical
Jianmin Yang, Maxim F. Gelin, Lipeng Chen, Frantisek Sanda, Erling Thyrhaug, Juergen Hauer
Summary: We propose a novel UV/Vis femtosecond spectroscopic technique called two-dimensional fluorescence-excitation (2D-FLEX) spectroscopy, which combines spectral resolution during the excitation process with exclusive monitoring of the excited-state system dynamics at high time and frequency resolution. We discuss the experimental feasibility and realizability of 2D-FLEX, develop the necessary theoretical framework, and demonstrate the high information content of this technique through simulations. We show that 2D-FLEX is a highly efficient instrument for real-time monitoring of photophysical processes in polyatomic molecules and molecular aggregates.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Review
Clinical Neurology
David J. Gladstone, M. Patrice Lindsay, James Douketis, Eric E. Smith, Dar Dowlatshahi, Theodore Wein, Aline Bourgoin, Jafna Cox, John B. Falconer, Brett R. Graham, Marilyn Labrie, Lena McDonald, Jennifer Mandzia, Daniel Ngui, Paul Pageau, Amanda Rodgerson, William Semchuk, Tammy Tebbutt, Carmen Tuchak, Stephen van Gaal, Karina Villaluna, Norine Foley, Shelagh Coutts, Anita Mountain, Gord Gubitz, Jacob A. Udell, Rebecca McGuff, Alexandre Y. Poppe
Summary: The 2020 update of the Canadian Stroke Best Practice Recommendations (CSBPR) for the Secondary Prevention of Stroke includes evidence-based recommendations and expert opinions to guide clinicians in preventing ischemic stroke recurrence through the management of modifiable risk factors. The updated guidelines address various aspects of stroke prevention, including triage, diagnostic testing, lifestyle behaviors, medication therapies, and recommendations for different conditions such as atrial fibrillation and hyperlipidemia. The addition of new recommendations and revised treatment guidelines reflect the evolving evidence in stroke management.
CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES
(2022)
Article
Oncology
Mahbubur Rahman, M. Ramish Ashraf, David J. Gladstone, Petr Bruza, Lesley A. Jarvis, Philip E. Schaner, Xu Cao, Brian W. Pogue, P. Jack Hoopes, Rongxiao Zhang
Summary: This study presents a Monte Carlo beam model and its implementation in a clinical treatment planning system for a modified ultrahigh dose-rate electron FLASH radiation therapy linear accelerator. The accuracy of the beam model was validated, and dose delivery was demonstrated through forward calculation. The results showed that the modified radiation therapy plan had comparable plan quality to conventional therapy.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Rachael L. Hachadorian, Petr Bruza, Michael Jermyn, David J. Gladstone, Rongxiao Zhang, Lesley A. Jarvis, Brian W. Pogue
Summary: This study investigates the correction of spatial variations in Cherenkov images using CT maps. The results show that this approach can effectively reduce inter- and intra-patient differences, providing a more accurate near surface dose image.
Article
Engineering, Biomedical
M. Ramish Ashraf, Mahbubur Rahman, Xu Cao, Kayla Duval, Benjamin B. Williams, P. Jack Hoopes, David J. Gladstone, Brian W. Pogue, Rongxiao Zhang, Petr Bruza
Summary: This study aims to develop a custom single-pulse dose monitoring and real-time dose-based control system for a FLASH-enabled clinical linear accelerator. The results show that the system is effective for dose monitoring and control, but the plastic scintillator used needs frequent calibration and is susceptible to radiation damage.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Savannah M. Decker, Daniel A. Alexander, Petr Bruza, Rongxiao Zhang, Erli Chen, Lesley A. Jarvis, David J. Gladstone, Brian W. Pogue
Summary: This study examines the responses of various image similarity metrics in detecting patient positioning errors in radiotherapy using Cherenkov imaging. The results show that different incidents can be detected by comparing Cherenkov images with image similarity metrics, providing a basis for the development of an automated flagging system.
BRITISH JOURNAL OF RADIOLOGY
(2022)
Article
Biochemical Research Methods
Pranav Lanka, Lin Yang, David Orive-Miguel, Joshua Deepak Veesa, Susanna Tagliabue, Aleh Sudakou, Saeed Samaei, Mario Forcione, Zuzana Kovacsova, Anurag Behera, Thomas Gladytz, Dirk Grosenick, Lionel Herve, Turgut Durduran, Karolina Bejm, Magdalena Morawiec, Michal Kacprzak, Piotr Sawosz, Anna Gerega, Adam Liebert, Antonio Belli, Ilias Tachtsidis, Frederic Lange, Gemma Bale, Luca Baratelli, Sylvain Gioux, Kalyanov Alexander, Martin Wolf, Sanathana Konugolu Venkata Sekar, Marta Zanoletti, Ileana Pirovano, Michele Lacerenza, Lina Qiu, Edoardo Ferocino, Giulia Maffeis, Caterina Amendola, Lorenzo Colombo, Lorenzo Frabasile, Pietro Levoni, Mauro Buttafava, Marco Renna, Laura Di Sieno, Rebecca Re, Andrea Farina, Lorenzo Spinelli, Alberto Dalla Mora, Davide Contini, Paola Taroni, Alberto Tosi, Alessandro Torricelli, Hamid Dehghani, Heidrun Wabnitz, Antonio Pifferi
Summary: This study presents the largest multi-laboratory comparison of performance assessment in near-infrared diffuse optics, providing a detailed assessment of the instruments and establishing a basis for reference grading. The results highlight substantial differences in hardware performances and quantify the performance of each instrument.
JOURNAL OF BIOMEDICAL OPTICS
(2022)
Article
Biochemical Research Methods
Z. I. J. I. A. N. Deng, X. I. A. N. G. K. U. N. Xu, I. U. L. I. A. N. Iordachita, H. A. M. I. D. Dehghani, Bin Zhang, John W. Wong, Ken Kang-Hsin Wang, Kang-Hsin Wang
Summary: This study presents a novel mobile bioluminescence tomography (BLT) system for a small animal irradiator to accurately localize soft tissue targets for radiation guidance. The system demonstrates high accuracy in target localization, providing a distinctive opportunity for investigators to perform conformal biology-guided irradiation to malignancy.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Oncology
Brady Hunt, Gobind S. Gill, Daniel A. Alexander, Samuel S. Streeter, David J. Gladstone, Gregory A. Russo, Bassem I. Zaki, Brian W. Pogue, Rongxiao Zhang
Summary: We developed a deep learning model for fast deformable image registration using 2-dimensional sagittal cine MRI acquired during radiation therapy, and compared it with conventional image registration methods. Through various evaluation metrics, we demonstrated the potential of our model for real-time target tracking.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ethan P. M. LaRochelle, Samuel S. Streeter, Eammon A. Littler, Alberto J. Ruiz
Summary: Interventional fluorescence imaging is being used to quantify cancer biomarkers, but absolute quantification is complicated. Optical phantoms have been suggested for quantitative performance assessment of fluorescence imaging systems. This study develops 3D-printed fluorescence phantoms based on solid tumor models and demonstrates their usefulness in assessing system performance and variability in sensitivity metrics.
MOLECULAR IMAGING AND BIOLOGY
(2023)
Article
Biochemical Research Methods
Guy A. Perkins, Adam T. Eggebrecht, Hamid Dehghani
Summary: Frequency domain high density diffuse optical tomography (HD-DOT) using varying or combined modulation frequencies (mFD) has been shown to improve imaging accuracy compared to conventional continuous wave (CW) measurements. In this study, the performance of mFD was evaluated using intensity and phase data from a solid inhomogeneous phantom with contrast anomalies. The results demonstrate that mFD outperforms both FD and CW in terms of absolute and temporal tomographic imaging. The utilization of mFD data minimizes the impact of noisy FD phase data and maximizes the strengths of FD through improved contrast.
BIOMEDICAL OPTICS EXPRESS
(2022)
Article
Neurosciences
Hasan Ayaz, Wesley B. Baker, Giles Blaney, David A. Boas, Heather Bortfeld, Kenneth Brady, Joshua Brake, Sabrina Brigadoi, Erin M. Buckley, Stefan A. Carp, Robert J. Cooper, Kyle R. Cowdrick, Joseph P. Culver, Ippeita Dan, Hamid Dehghani, Anna Devor, Turgut Durduran, Adam T. Eggebrecht, Lauren L. Emberson, Qianqian Fang, Sergio Fantini, Maria Angela Franceschini, Jonas B. Fischer, Judit Gervain, Joy Hirsch, Keum-Shik Hong, Roarke Horstmeyer, Jana M. Kainerstorfer, Tiffany S. Ko, Daniel J. Licht, Adam Liebert, Robert Luke, Jennifer M. Lynch, Jaume Mesquida, Rickson C. Mesquita, Noman Naseer, Sergio L. Novi, Felipe Orihuela-Espina, Thomas D. O'Sullivan, Darcy S. Peterka, Antonio Pifferi, Luca Pollonini, Angelo Sassaroli, Joao Ricardo Sato, Felix Scholkmann, Lorenzo Spinelli, Vivek J. Srinivasan, Keith St Lawrence, Ilias Tachtsidis, Yunjie Tong, Alessandro Torricelli, Tara Urner, Heidrun Wabnitz, Martin Wolf, Ursula Wolf, Shiqi Xu, Changhuei Yang, Arjun G. Yodh, Meryem A. Yucel, Wenjun Zhou
Summary: This report is the second part of a comprehensive series, focusing on novel methods to explore brain health and function. It specifically highlights optical spectroscopy and imaging methods relevant to noninvasive human brain studies, outlines current state-of-the-art technologies and software advances, explores their impact on neuroscience and clinical applications, identifies areas for innovation, and provides an outlook for future directions.
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiangkun Xu, Zijian Deng, Daniel Sforza, Zhishen Tong, Yu-Pei Tseng, Ciara Newman, Merle Reinhart, Paul Tsouchlos, Tim Devling, Hamid Dehghani, Iulian Iordachita, John W. Wong, Ken Kang-Hsin Wang
Summary: This study systematically characterizes and evaluates a commercial BLT-guided system, providing methods and guidance for utilizing the imaging system in image-guided radiation research. It is of great importance for researchers in this field.
Article
Engineering, Biomedical
Robin Dale, Thomas D. O'Sullivan, Scott Howard, Felipe Orihuela-Espina, Hamid Dehghani
Summary: An intuitive and generalizable approach for spatial-temporal feature extraction in high-density functional Near-Infrared Spectroscopy (fNIRS) brain-computer interface (BCI) is proposed and demonstrated using Frequency-Domain (FD) fNIRS for motor-task classification. A 3D convolutional neural network (CNN) is trained with layered topographical maps of Oxy/deOxy Haemoglobin changes enabled by the HD probe design, allowing for simultaneous extraction of spatial and temporal features. The spatial-temporal CNN is shown to effectively capture the spatial relationships in HD fNIRS measurements, improving the classification of the functional haemodynamic response.
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY
(2023)
Proceedings Paper
Medicine, Research & Experimental
Harold M. Swartz, P. Jack Hoopes, David J. Gladstone, Valentin Demidov, Peter Vaupel, Ann Barry Flood, Benjamin B. Williams, Rongxiao Zhang, Brian W. Pogue
Summary: The delivery of radiation at an ultra-high dose rate, known as FLASH, has shown promise in improving the therapeutic ratio by reducing damage to normal tissues. The role of molecular oxygen (O-2) in the mechanisms of FLASH radiation therapy is still uncertain, but it is believed to play a significant part. Understanding the effects of oxygen on cellular response to radiation is crucial in determining the potential benefits of FLASH treatment.
OXYGEN TRANSPORT TO TISSUE XLIII
(2022)
Proceedings Paper
Engineering, Biomedical
Ethan Philip M. LaRochelle, Alberto J. Ruiz
Summary: The field of florescence guided surgery (FGS) has been growing rapidly since 2015, with new near-infrared (NIR) contrast agents preparing to enter the market. However, without standardized approaches for system characterization, the increasing number of imaging systems and fluorophores can become burdensome for regulatory reviewers.
MOLECULAR-GUIDED SURGERY: MOLECULES, DEVICES, AND APPLICATIONS VIII
(2022)