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4th International Conference on Photonics, Optics and Laser Technology, PHOTOPTICS 2016

作者： Jo, Songhyun Park, Kyoungsoo Choi, Sung Wook Lee, Seul Lee Jeong, Jun Hyeog Kim, Jihoon Lee, Yong Wook School of Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University 45 Yongso-ro Nam-gu Busan608-737 Korea Republic of School of Electrical Engineering Pukyong National University 45 Yongso-ro Nam-gu Busan608-737 Korea Republic of

ISBN: (纸本)9789897581748

The output states of polarization (SOP's) were investigated within the bandwidth of a filter channel (0.8 nm) for a variety of optical fiber comb filters based on polarization-diversity loop structure including a zerothorder comb filter, first-order Lyot-type and Solc-type comb filters, and a second-order Solc-type comb filter. The output SOP's (SOPout's) of the filters were calculated at a flat-top band operation mode of each filter for four different input SOP's (SOPin's) except for the zeroth-order filter. It was found that the SOPout of each filter had unique dependence on wavelength. Specifically, the SOPout's of first-order and second-order comb filters vary periodically with spectral periods of a channel bandwidth (0.8 nm) and its half (0.4 nm), respectively. If an output linear polarizer is located at the output port of each filter, the specific portion of transmission spectra can be passed or rejected, and the rejected band can be continuously tuned in a limited wavelength range by controlling the SOPin. Moreover, the SOPin can be figured out by analyzing the location of the spectral dip at the output transmission spectra obtained above by using the output polarizer. © Copyright 2016 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.

关键词： Polarization-maintaining fiber

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Simulated CT scanner for educational purpose

Simulated CT scanner for educational purpose

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biomedical engineering International Conference (BMEiCON)

作者： Aniwat Juhong Chuchart Pintavirooj Biomedical Engineering Program Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781509039418

Computed Tomography is a technique to reconstruct an image of trans-axial slab of the object from a series of x-ray radiographs taken at a prior-known angle. Sequences of x-ray radiographs are served as two-dimensional projection data for a 3D tomography. The most popular Feldkamp Algorithm which is based on Filtered Backprojection (FBP) approaches has shown to perform well for 3D reconstruction. Conventional x-ray computed tomography was implemented on a c-arm x-ray apparatus where the x-ray tube and detector is capable of rotating to capture radiograph at any specific angle. In this paper, we designed the simulated computed tomography that can be used for educational purpose. A number of digital cameras are attached on the rotating gantry to capture a series of image around the object. This mimics a conebeam projection for computed tomography. In order to design the embedded system, Raspberry Pi is used as the main microcontroller which acts as data acquisition system. All projection data are sent to cloud server which is later download to PC for further processing.

关键词： Three-dimensional displays Image reconstruction Computed tomography Cameras Shape X-ray imaging

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The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia program

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Schizophrenia 2025年第1期11卷 1-14页

作者： Harms, Michael P. Cho, Kang-Ik K. Anticevic, Alan Bolo, Nicolas R. Bouix, Sylvain Campbell, Dylan Cannon, Tyrone D. Cecchi, Guillermo Goncalves, Mathias Haidar, Anastasia Hughes, Dylan E. Izyurov, Igor John, Omar Kapur, Tina Kim, Nicholas Kotler, Elana Kubicki, Marek Kuperman, Joshua M. Laulette, Kristen Lindberg, Ulrich Markiewicz, Christopher Ning, Lipeng Poldrack, Russell A. Rathi, Yogesh Romo, Paul A. Tamayo, Zailyn Wannan, Cassandra Wickham, Alana Yassin, Walid Zhou, Juan Helen Addington, Jean Alameda, Luis Arango, Celso Breitborde, Nicholas J. K. Broome, Matthew R. Cadenhead, Kristin S. Calkins, Monica E. Chen, Eric Yu Hai Choi, Jimmy Conus, Philippe Corcoran, Cheryl M. Cornblatt, Barbara A. Diaz-Caneja, Covadonga M. Ellman, Lauren M. Fusar-Poli, Paolo Gaspar, Pablo A. Gerber, Carla Glenthøj, Louise Birkedal Horton, Leslie E. Hui, Christy Lai Ming Kambeitz, Joseph Kambeitz-Ilankovic, Lana Keshavan, Matcheri S. Kim, Sung-Wan Koutsouleris, Nikolaos Kwon, Jun Soo Langbein, Kerstin Mamah, Daniel Mathalon, Daniel H. Mittal, Vijay A. Nordentoft, Merete Pearlson, Godfrey D. Perez, Jesus Perkins, Diana O. Powers, Albert R. Rogers, Jack Sabb, Fred W. Schiffman, Jason Shah, Jai L. Silverstein, Steven M. Smesny, Stefan Stone, William S. Strauss, Gregory P. Thompson, Judy L. Upthegrove, Rachel Verma, Swapna K. Wang, Jijun Wolf, Daniel H. Kahn, Rene S. Kane, John M. McGorry, Patrick D. Nelson, Barnaby Woods, Scott W. Shenton, Martha E. Wood, Stephen J. Bearden, Carrie E. Pasternak, Ofer Department of Psychiatry Washington University School of Medicine St. Louis MO United States Department of Psychiatry Brigham and Women’s Hospital Harvard Medical School Boston MA United States Department of Psychiatry Yale University School of Medicine New Haven CT United States Department of Psychiatry Beth Israel Deaconess Medical Center Harvard Medical School Boston MA United States Department of Software Engineering and Information Technology École de technologie supérieure Montréal QC Canada Department of Psychology Yale University New Haven CT United States T.J. Watson Research Laboratory IBM Research Yorktown Heights NY United States Department of Psychology Stanford University Stanford CA United States Department of Psychology University of California Los Angeles CA United States Department of Psychiatry and Psychotherapy Jena University Hospital Jena Germany Massachusetts General Hospital Harvard Medical School Boston MA United States Department of Radiology Brigham and Women’s Hospital Harvard Medical School Boston MA United States Department of Radiology University of California San Diego CA United States Department of Clinical Physiology and Nuclear Medicine Copenhagen University Hospital - Rigshospitalet Glostrup Denmark Seaman Family MR Research Centre Calgary AB Canada Orygen Parkville VIC Australia Centre for Sleep and Cognition and Centre for Translational MR Research Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore Department of Psychiatry Hotchkiss Brain Institute University of Calgary Calgary AB Canada General Psychiatry Service Treatment and Early Intervention in Psychosis Program Lausanne University Hospital and University of Lausanne Lausanne Switzerland Department of Child and Adolescent Psychiatry Institute of Psychiatry and Mental Health Hospital General Universitario Gregorio Marañón Instituto de Salud Carlos III School of Medicine Universidad Complutense Madrid Spain

Neuroimaging with MRI has been a frequent component of studies of individuals at clinical high risk (CHR) for developing psychosis, with goals of understanding potential brain regions and systems impacted in the CHR state and identifying prognostic or predictive biomarkers that can enhance our ability to forecast clinical outcomes. To date, most studies involving MRI in CHR are likely not sufficiently powered to generate robust and generalizable neuroimaging results. Here, we describe the prospective, advanced, and modern neuroimaging protocol that was implemented in a complex multi-site, multi-vendor environment, as part of the large-scale Accelerating Medicines Partnership® Schizophrenia program (AMP® SCZ), including the rationale for various choices. This protocol includes T1- and T2-weighted structural scans, resting-state fMRI, and diffusion-weighted imaging collected at two time points, approximately 2 months apart. We also present preliminary variance component analyses of several measures, such as signal- and contrast-to-noise ratio (SNR/CNR) and spatial smoothness, to provide quantitative data on the relative percentages of participant, site, and platform (i.e., scanner model) variance. Site-related variance is generally small (typically <10%). For the SNR/CNR measures from the structural and fMRI scans, participant variance is the largest component (as desired;40–76%). However, for SNR/CNR in the diffusion scans, there is substantial platform-related variance (>55%) due to differences in the diffusion imaging hardware capabilities of the different scanners. Also, spatial smoothness generally has a large platform-related variance due to inherent, difficult to control, differences between vendors in their acquisitions and reconstructions. These results illustrate some of the factors that will need to be considered in analyses of the AMP SCZ neuroimaging data, which will be the largest CHR cohort to date. Watch Dr. Harms discuss this article at https://vimeo.

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Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

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Scientific data 2021年第1期8卷 242页

作者： Julien Cohen-Adad Eva Alonso-Ortiz Mihael Abramovic Carina Arneitz Nicole Atcheson Laura Barlow Robert L Barry Markus Barth Marco Battiston Christian Büchel Matthew Budde Virginie Callot Anna J E Combes Benjamin De Leener Maxime Descoteaux Paulo Loureiro de Sousa Marek Dostál Julien Doyon Adam Dvorak Falk Eippert Karla R Epperson Kevin S Epperson Patrick Freund Jürgen Finsterbusch Alexandru Foias Michela Fratini Issei Fukunaga Claudia A M Gandini Wheeler-Kingshott Giancarlo Germani Guillaume Gilbert Federico Giove Charley Gros Francesco Grussu Akifumi Hagiwara Pierre-Gilles Henry Tomáš Horák Masaaki Hori James Joers Kouhei Kamiya Haleh Karbasforoushan Miloš Keřkovský Ali Khatibi Joo-Won Kim Nawal Kinany Hagen H Kitzler Shannon Kolind Yazhuo Kong Petr Kudlička Paul Kuntke Nyoman D Kurniawan Slawomir Kusmia René Labounek Maria Marcella Laganà Cornelia Laule Christine S Law Christophe Lenglet Tobias Leutritz Yaou Liu Sara Llufriu Sean Mackey Eloy Martinez-Heras Loan Mattera Igor Nestrasil Kristin P O'Grady Nico Papinutto Daniel Papp Deborah Pareto Todd B Parrish Anna Pichiecchio Ferran Prados Àlex Rovira Marc J Ruitenberg Rebecca S Samson Giovanni Savini Maryam Seif Alan C Seifert Alex K Smith Seth A Smith Zachary A Smith Elisabeth Solana Y Suzuki George Tackley Alexandra Tinnermann Jan Valošek Dimitri Van De Ville Marios C Yiannakas Kenneth A Weber Ii Nikolaus Weiskopf Richard G Wise Patrik O Wyss Junqian Xu NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. jcohen@polymtl.ca. Functional Neuroimaging Unit CRIUGM Université de Montréal Montreal QC Canada. jcohen@polymtl.ca. Mila - Quebec AI Institute Montreal QC Canada. jcohen@polymtl.ca. NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. Department of Radiology Swiss Paraplegic Centre Nottwil Switzerland. Centre for Advanced Imaging The University of Queensland Brisbane Australia. Department of Radiology University of British Columbia Vancouver BC Canada. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown MA USA. Department of Radiology Harvard Medical School Boston MA USA. Harvard-Massachusetts Institute of Technology Health Sciences & Technology Cambridge MA USA. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia. NMR Research Unit Queen Square MS Centre UCL Queen Square Institute of Neurology Faculty of Brain Sciences University College London London UK. Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany. Department of Neurosurgery Medical College of Wisconsin Milwaukee WI USA. Aix-Marseille Univ CNRS CRMBM Marseille France. APHM Hopital Universitaire Timone CEMEREM Marseille France. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville TN USA. Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada. CHU Sainte-Justine Research Centre Montreal QC Canada. Centre de Recherche CHUS CIMS Sherbrooke Canada. Sherbrooke Connectivity Imaging Lab (SCIL) Computer Science department Université de Sherbrooke Sherbrooke Canada. Université de Strasbourg CNRS ICube Strasbourg France. UHB - University Hospital Brno and Masaryk University Department of Radiology and Nuclear

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Nucleic Acid Amplification: Mie Scatter and Interfacial Tension Based Real-Time Quantification of Colloidal Emulsion Nucleic Acid Amplification (Adv. Biosys. 10/2017)

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Advanced Biosystems 2017年第10期1卷

作者： Ariana M. Nicolini Tyler D. Toth Samuel Y. Kim M. Alejandra Mandel David W. Galbraith Jeong-Yeol Yoon Biomedical Engineering Graduate Interdisciplinary Program and Department of Biomedical Engineering The University of Arizona Tucson AZ 85721 USA School of Plant Sciences The University of Arizona Tucson AZ 85721 USA

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Robot-arm control system using LEAP motion controller

Robot-arm control system using LEAP motion controller

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International Conference on biomedical engineering (BME-HUST)

作者： Y. Pititeeraphab P. Choitkunnan N. Thongpance K. Kullathum Ch. Pintavirooj Faculty of Biomedical Engineering Rangsit University Pathumthani Thailand Biomedical Engineering Program King Mongkut's Institute of Technology Ladkrabang Thailand

ISBN: (纸本)9781509011001

The objective of this research was to design and construction of the system for control robot arm using LEAP Motion Controller. This research has adapted the principle of LEAP Motion Controller and servo motor control. The designed and constructed the project was composed of 3 main parts: 1) detector part, 2) signal control and processing part using microcontroller ATMEL 328 on board (Arduino UNO R3) and 3) display part consists of a robotic arm with a handle two inches. The results of functional testing shown that the system can handle and control the movement of the robot arm to the objectives of the project.

关键词： High definition video Manipulators Reactive power Servomotors Motor drives

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2D Transition Metal Dichalcogenide: Unraveling High-Yield Phase-Transition Dynamics in Transition Metal Dichalcogenides on Metallic Substrates (Adv. Sci. 7/2019)

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Advanced Science 2019年第7期6卷 1970042-1970042页

作者： Xinmao Yin Chi Sin Tang Di Wu Weilong Kong Changjian Li Qixing Wang Liang Cao Ming Yang Yung-Huang Chang Dianyu Qi Fangping Ouyang Stephen J. Pennycook Yuan Ping Feng Mark B. H. Breese Shi Jie Wang Wenjing Zhang Andrivo Rusydi Andrew T. S. Wee Department of Physics Faculty of Science National University of Singapore Singapore 117542 Singapore Singapore Synchrotron Light Source (SSLS) National University of Singapore Singapore 117603 Singapore NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 117456 Singapore International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology Shenzhen University Shenzhen 518060 China Hunan Key Laboratory of Super-microstructure and Ultrafast Process School of Physics and Electronics Central South University No. 932 South Lushan Road Changsha Hunan Province 410083 China Department of Materials Science and Engineering National University of Singapore 9 Engineering Drive 1 Singapore 117575 Singapore Anhui Province Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field Laboratory of the Chinese Academy of Sciences Hefei 230031 China Institute of Materials Research and Engineering A∗STAR (Agency for Science Technology and Research) 2 Fusionopolis Way Singapore 138634 Singapore Bachelor Program in Interdisciplinary Studies National Yunlin University of Science and Technology Yunlin 640 Taiwan

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PO-438 Hyperthermia as neoadjuvant treatment for pancreatic tumours in murine models

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ESMO Open 2018年 3卷 A403-A403页

作者： Krzykawska-Serda, M. Ware, M.J. Lapin, N. Agha, M. Ho, J. Law, J. Newton, J. Nguyen, L. Curley, S. Corr, S. Faculty of Biochemistry- Biophysics and Biotechnology- Jagiellonian University Biophysics Krakow Poland Baylor Collage of Medicine Surgery Houston USA Baylor College of Medicine Interdepartmental program in Translational Biology and Molecular Medicine Houston USA Swansea University School of Medicine Swansea UK University of Houston Biomedical Engineering Houston USA Rice University Mechanical Engineering and Materials Science Houston USA

ABSTRACTIntroductionPancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer. The hallmarks of this malignancy, such as it’s deprived vasculature, dense tumour stroma and hypoxic tumour microenvironment are some of the reasons for very poor chemotherapy and radiotherapy treatment efficacy. In these regards, a new combinatory treatment regimen was proposed: 1 non-invasive radiofrequency (RF) hyperthermia treatment to increase tumour perfusion, enhance cancer cell death and immune system stimulus; 2 chemotherapy regiment with Gemzar and Abraxane. Material and methodsOrthotropic and subcutaneous models of PDAC were induce by injection of PANC-1, AsPc-1 and Pan_O2 cancer cells into Balb/c nude or C57BL/6J mice. Tumour growth was monitored via ultrasound VEVO2100. Tumour perfusion after hyperthermia was monitored via intravital confocal microscopy and ultrasound microbubble contrast imaging. The tumour active vasculature was investigated using Doppler imaging. The chemotherapy with Gemzar and Abraxane was administered in combination with RF hyperthermia. A portable-RF system was used to produce local hyperthermia in the tumour tissue. The device is powered by 200 W and emits 13.56 MHz electric fields. The entire treatment scheme was repeated a total of 6 times at 72 hour time intervals (Q3D × 6 protocol) resulting in 16 days of treatment. The variety of histochemistry staining was performed post mortem to show the influence of treatment on the tumour vasculature and the degree of perfusion and necrosis. Results and discussionsWe showed that RF hyperthermia treatment as a neoadjuvant therapy can be promising for PDAC treatment. However, the effect is still unpredictable and depends on pre-existing tumour physiology before therapy. We established the most effective RF hyperthermia procedure to increase drug perfusion into tumour tissue (41°C for 20–30 min). We studied a variety of chemotherapy dosages to adjust clinical protocols into mouse mode

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National identity predicts public health support during a global pandemic (vol 13, 517, 2022)

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NATURE COMMUNICATIONS 2022年第1期13卷 517-517页

作者： Van Bavel, Jay J. Cichocka, Aleksandra Capraro, Valerio Sjastad, Hallgeir Nezlek, John B. Pavlovic, Tomislav Alfano, Mark Gelfand, Michele J. Azevedo, Flavio Birtel, Michele D. Cislak, Aleksandra Lockwood, Patricia L. Ross, Robert Malcolm Abts, Koen Agadullina, Elena Aruta, John Jamir Benzon Besharati, Sahba Nomvula Bor, Alexander Choma, Becky L. Crabtree, Charles David Cunningham, William A. De, Koustav Ejaz, Waqas Elbaek, Christian T. Findor, Andrej Flichtentrei, Daniel Franc, Renata Gjoneska, Biljana Gruber, June Gualda, Estrella Horiuchi, Yusaku Huynh, Toan Luu Duc Ibanez, Agustin Imran, Mostak Ahamed Israelashvili, Jacob Jasko, Katarzyna Kantorowicz, Jaroslaw Kantorowicz-Reznichenko, Elena Krouwel, Andre Laakasuo, Michael Lamm, Claus Leygue, Caroline Lin, Ming-Jen Mansoor, Mohammad Sabbir Marie, Antoine Mayiwar, Lewend Mazepus, Honorata McHugh, Cillian Minda, John Paul Mitkidis, Panagiotis Olsson, Andreas Otterbring, Tobias Packer, Dominic J. Perry, Anat Petersen, Michael Bang Puthillam, Arathy Riano-Moreno, Julian C. Rothmund, Tobias Santamaria-Garcia, Hernando Schmid, Petra C. Stoyanov, Drozdstoy Tewari, Shruti Todosijevic, Bojan Tsakiris, Manos Tung, Hans H. Umbres, Radu G. Vanags, Edmunds Vlasceanu, Madalina Vonasch, Andrew Yucel, Meltem Zhang, Yucheng Abad, Mohcine Adler, Eli Akrawi, Narin Mdarhri, Hamza Alaoui Amara, Hanane Amodio, David M. Antazo, Benedict G. Apps, Matthew Ay, F. Ceren Ba, Mouhamadou Hady Barbosa, Sergio Bastian, Brock Berg, Anton Bernal-Zarate, Maria P. Bernstein, Michael Bialek, Michal Bilancini, Ennio Bogatyreva, Natalia Boncinelli, Leonardo Booth, Jonathan E. Borau, Sylvie Buchel, Ondrej Cameron, C. Daryl Carvalho, Chrissie F. Celadin, Tatiana Cerami, Chiara Chalise, Hom Nath Cheng, Xiaojun Cian, Luca Cockcroft, Kate Conway, Jane Cordoba-Delgado, Mateo Andres Crespi, Chiara Crouzevialle, Marie Cutler, Jo Cypryanska, Marzena Dabrowska, Justyna Daniels, Michael A. Davis, Victoria H. Dayley, Pamala N. Delouvee, Sylvain Denkovski, Ognjan Dezecache, Guillaume Dhaliwal, Nathan A. Diato, Department of Psychology and Neural Science New York University New York NY USA School of Psychology University of Kent Canterbury England Department of Economics Middlesex University London London England Department of Strategy and Management Norwegian School of Economics Bergen Norway SWPS University of Social Sciences and Humanities Poznań Poland Department of Psychological Sciences College of William and Mary Williamsburg VA USA Institute of Social Sciences Ivo Pilar Zagreb Croatia Department of Philosophy Macquarie University Sydney NSW Australia Stanford Graduate School of Business Stanford University Stanford CA USA Institute of Communication Science Friedrich-Schiller University Jena Jena Germany School of Human Sciences Institute for Lifecourse Development University of Greenwich London England Department of Experimental Psychology University of Oxford Oxford England Center for Human Brain Health School of Psychology University of Birmingham Birmingham England Department of Psychology Macquarie University Sydney NSW Australia KU Leuven Leuven Belgium National Research University Higher School of Economics (HSE) Moscow Russia De La Salle University Manila Philippines Department of Psychology University of the Witwatersrand Johannesburg South Africa Department of Political Science Aarhus University Aarhus Denmark X University Toronto Canada Department of Government Dartmouth College Hanover NH USA Department of Psychology University of Toronto Toronto ON Canada Gatton College of Business and Economics University of Kentucky Lexington KY USA Department of Mass Communication National University of Science and Technology (NUST) Islamabad Pakistan Department of Management Aarhus University Aarhus Denmark Faculty of Social and Economic Sciences Comenius University Bratislava Slovakia IntraMed Buenos Aires Argentina Macedonian Academy of Sciences and Arts North Macedonia Republic of North Macedonia University of Colorado Boulder Bould

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = −0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics. Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.

关键词： Viral infection Human behaviour

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Correction: Synthesis, structure and optical performance of red-emitting phosphor Ba5AlF13:Mn4+

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RSC Advances 2017年第86期7卷 54554-54554页

作者： Lin Qin Peiqing Cai Cuili Chen Jing Wang Hyo Jin Seo Department of Physics and Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 608-737 Republic of Korea

Correction for ‘Synthesis, structure and optical performance of red-emitting phosphor Ba5AlF13:Mn4+’ by Lin Qin et al., RSC Adv., 2017, 7, 49473–49479.

Correction for ‘Synthesis, structure and optical performance of red-emitting phosphor Ba₅AlF₁₃:Mn⁴⁺’ by Lin Qin et al., RSC Adv., 2017, 7, 49473–49479.

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