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Tsai YT, Majewska N, Kamiński M, Lin BH, Mahlik S, Fang MH. Hidden Hexavalent Chromium Ions with Subtle Structural Evolution in Near-Infrared Phosphors. ACS APPLIED MATERIALS & INTERFACES 2023; 15:49379-49389. [PMID: 37842834 DOI: 10.1021/acsami.3c11866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Cr-doped inorganic materials are pivotal in developing near-infrared optical materials; however, multivalent Cr ions and their respective distribution in the materials remain ambiguous. Herein, a series of Li(Sc1-xInx)O2:Cr phosphors containing both Cr3+/Cr6+ ions are prepared. High-resolution synchrotron X-ray diffraction (XRD) reveals two similar phases in Li(Sc1-xInx)O2. Raman spectra further confirm distinct scattering patterns for the two end-member compositions, corroborating the findings from the synchrotron XRD analysis. Cr K-edge X-ray absorption near-edge structure and extended X-ray absorption fine structure demonstrate that most Cr ions in the as-prepared samples are Cr6+, while Cr3+ becomes dominant after washing with water. Moreover, the source and distribution of Cr3+ and Cr6+ ions in the as-prepared and washed samples are revealed through X-ray fluorescence and X-ray excited optical luminescence techniques, which indicate that Cr6+ ions aggregate within the sample, while Cr3+ ions are evenly distributed. Photoluminescence, decay curves, and line shape analyses are implemented to resolve the electron-lattice interactions, and the corresponding mechanisms are provided to explain the asymmetry between photoluminescence and photoluminescence excitation spectra. Overall, this study provides valuable insights into the distribution of low-concentration multivalence ions in solid-state materials and offers a deeper understanding of the approaches to precisely resolve the subtle changes in the crystal structure.
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Affiliation(s)
- Yi-Ting Tsai
- Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan
| | - Natalia Majewska
- Institute of Experimental Physics, Faculty of Mathematics, Physics and Informatics, University of Gdansk, Wita Stwosza 57, 80-308 Gdansk, Poland
| | - Mikołaj Kamiński
- Institute of Experimental Physics, Faculty of Mathematics, Physics and Informatics, University of Gdansk, Wita Stwosza 57, 80-308 Gdansk, Poland
| | - Bi-Hsuan Lin
- National Synchrotron Radiation Research Center, Hsinchu 300, Taiwan
| | - Sebastian Mahlik
- Institute of Experimental Physics, Faculty of Mathematics, Physics and Informatics, University of Gdansk, Wita Stwosza 57, 80-308 Gdansk, Poland
- International Centre for Theory of Quantum Technologies (ICTQT), University of Gdansk, 80-308 Gdansk, Poland
| | - Mu-Huai Fang
- Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan
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Saknite I, Kwun S, Zhang K, Hood A, Chen F, Kangas L, Kortteisto P, Kukkonen A, Spigulis J, Tkaczyk ER. Hyperspectral imaging to accurately segment skin erythema and hyperpigmentation in cutaneous chronic graft-versus-host disease. JOURNAL OF BIOPHOTONICS 2023; 16:e202300009. [PMID: 36942511 DOI: 10.1002/jbio.202300009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/15/2023] [Accepted: 03/17/2023] [Indexed: 06/18/2023]
Abstract
In 51 lesions from 15 patients with the inflammatory skin condition chronic graft-versus-host-disease, hyperspectral imaging accurately delineated active erythema and post-inflammatory hyperpigmentation. The method was validated by dermatologist-approved confident delineations of only definitely affected and definitely unaffected areas in photographs. A prototype hyperspectral imaging system acquired a 2.5 × 3.5 cm2 area of skin at 120 wavelengths in the 450-850 nm range. Unsupervised extraction of unknown absorbers by endmember analysis achieved a comparable accuracy to that of supervised extraction of known absorbers (melanin, hemoglobin) by chromophore mapping: 0.78 (IQR: 0.39-0.85) vs. 0.83 (0.53-0.91) to delineate erythema and 0.74 (0.57-0.87) vs. 0.73 (0.52-0.84) to delineate hyperpigmentation. Both algorithms achieved higher specificity than sensitivity. Whereas a trained human confidently marked a median of 7% of image pixels, unsupervised and supervised algorithms delineated a median of 14% and 27% pixels. Hyperspectral imaging could overcome a fundamental practice gap of distinguishing active from inactive manifestations of inflammatory skin disease.
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Affiliation(s)
- Inga Saknite
- Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia
| | - Shinwho Kwun
- Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Kathy Zhang
- Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alexis Hood
- Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Fuyao Chen
- Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | | | | | - Janis Spigulis
- Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia
| | - Eric R Tkaczyk
- Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA
- Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, USA
- Dermatology Service and Research Service, Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA
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Sheen YJ, Sheu WHH, Wang HC, Chen JP, Sun YH, Chen HM. Assessment of diabetic small-fiber neuropathy by using short-wave infrared hyperspectral imaging. JOURNAL OF BIOPHOTONICS 2022; 15:e202100220. [PMID: 34766729 DOI: 10.1002/jbio.202100220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Revised: 09/02/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
Abstract
Among patients with type 2 diabetes mellitus (T2DM), the association between hyperspectral imaging (HSI) examination and diabetic neuropathy (DN) is ascertained using HSI of the feet using four types of spectral difference measurements. DN was evaluated by traditional Michigan Neuropathy Screening Instrument (MNSI), evaluation of painful neuropathy (ID-Pain, DN4) and sudomotor function by measuring electrochemical skin conductance (ESC). Of the 120 T2DM patients and 20 healthy adults enrolled, T2DM patients are categorized into normal sudomotor (ESC >60 μS) and sudomotor dysfunction (ESC ≤ 60 μS) groups. Spectral difference analyses reveal significant intergroup differences, whereas traditional examinations cannot distinguish between the two groups. HSI waveform reflectance gradually increases with disease severity, at 1400 to 1600 nm. The area under the curve (AUC) of receiver operating characteristic (ROC) analysis for abnormal ESC is ≥0.8 for all four HSI methods. HSI could be an objective, sensitive, rapid, noninvasive and remote approach to identify early small-fiber DN.
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Affiliation(s)
- Yi-Jing Sheen
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Medicine, School of Medicine, National Yang-Ming Chiao Tung University, Taipei, Taiwan
- Institute of Medical Technology, College of Life Science, National Chung-Hsing University, Taichung, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Hsin-Che Wang
- Research and Development Department, ISUZU Optics, Hsinchu, Taiwan
- Center for Quantitative Imaging in Medicine (CQUIM), Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Jun-Peng Chen
- Biostatistics Task Force, Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yi-Hsuan Sun
- Center for Quantitative Imaging in Medicine (CQUIM), Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Hsian-Min Chen
- Center for Quantitative Imaging in Medicine (CQUIM), Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Biomedical Engineering, Hung Kuang University, Taichung, Taiwan
- Department of Computer Science & Information Engineering, National United University, Miaoli, Taiwan
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Lukina M, Yashin K, Kiseleva EE, Alekseeva A, Dudenkova V, Zagaynova EV, Bederina E, Medyanic I, Becker W, Mishra D, Berezin M, Shcheslavskiy VI, Shirmanova M. Label-Free Macroscopic Fluorescence Lifetime Imaging of Brain Tumors. Front Oncol 2021; 11:666059. [PMID: 34109119 PMCID: PMC8181388 DOI: 10.3389/fonc.2021.666059] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 04/27/2021] [Indexed: 01/20/2023] Open
Abstract
Advanced stage glioma is the most aggressive form of malignant brain tumors with a short survival time. Real-time pathology assisted, or image guided surgical procedures that eliminate tumors promise to improve the clinical outcome and prolong the lives of patients. Our work is focused on the development of a rapid and sensitive assay for intraoperative diagnostics of glioma and identification of optical markers essential for differentiation between tumors and healthy brain tissues. We utilized fluorescence lifetime imaging (FLIM) of endogenous fluorophores related to metabolism of the glioma from freshly excised brains tissues. Macroscopic time-resolved fluorescence images of three intracranial animal glioma models and surgical samples of patients' glioblastoma together with the white matter have been collected. Several established and new algorithms were applied to identify the imaging markers of the tumors. We found that fluorescence lifetime parameters characteristic of the glioma provided background for differentiation between the tumors and intact brain tissues. All three rat tumor models demonstrated substantial differences between the malignant and normal tissue. Similarly, tumors from patients demonstrated statistically significant differences from the peritumoral white matter without infiltration. While the data and the analysis presented in this paper are preliminary and further investigation with a larger number of samples is required, the proposed approach based on the macroscopic FLIM has a high potential for diagnostics of glioma and evaluation of the surgical margins of gliomas.
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Affiliation(s)
- Maria Lukina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Konstantin Yashin
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Elena E. Kiseleva
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Anna Alekseeva
- Department of Neuromorphology, Research Institute of Human Morphology, Moscow, Russia
| | - Varvara Dudenkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Elena V. Zagaynova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
| | - Evgenia Bederina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | - Igor Medyanic
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
| | | | - Deependra Mishra
- Department of Radiology, Washington University School of Medicine, St Louis, MO, United States
| | - Mikhail Berezin
- Department of Radiology, Washington University School of Medicine, St Louis, MO, United States
| | - Vladislav I. Shcheslavskiy
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
- Becker&Hickl GmbH, Berlin, Germany
| | - Marina Shirmanova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Nizhny Novgorod, Russia
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Mishra D, Hurbon H, Wang J, Wang ST, Du T, Wu Q, Kim D, Basir S, Cao Q, Zhang H, Xu K, Yu A, Zhang Y, Huang Y, Garnett R, Gerasimchuk-Djordjevic M, Berezin MY. IDCube Lite: Free Interactive Discovery Cube software for multi- and hyperspectral applications. JOURNAL OF SPECTRAL IMAGING 2021; 10:a1. [PMID: 34484655 PMCID: PMC8409277 DOI: 10.1255/jsi.2021.a1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Multi- and hyperspectral imaging modalities encompass a growing number of spectral techniques that find many applications in geospatial, biomedical, machine vision and other fields. The rapidly increasing number of applications requires convenient easy-to-navigate software that can be used by new and experienced users to analyse data, and develop, apply and deploy novel algorithms. Herein, we present our platform, IDCube Lite, an Interactive Discovery Cube that performs essential operations in hyperspectral data analysis to realise the full potential of spectral imaging. The strength of the software lies in its interactive features that enable the users to optimise parameters and obtain visual input for the user in a way not previously accessible with other software packages. The entire software can be operated without any prior programming skills allowing interactive sessions of raw and processed data. IDCube Lite, a free version of the software described in the paper, has many benefits compared to existing packages and offers structural flexibility to discover new, hidden features that allow users to integrate novel computational methods.
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Affiliation(s)
- Deependra Mishra
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Helena Hurbon
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
- HSpeQ LLC, 4340 Duncan Ave, St Louis, MO 63110, USA
| | - John Wang
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
- HSpeQ LLC, 4340 Duncan Ave, St Louis, MO 63110, USA
| | - Steven T Wang
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
- HSpeQ LLC, 4340 Duncan Ave, St Louis, MO 63110, USA
| | - Tommy Du
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Qian Wu
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - David Kim
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Shiva Basir
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Qian Cao
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Hairong Zhang
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Kathleen Xu
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Andy Yu
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Yifan Zhang
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Yunshen Huang
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
| | - Roman Garnett
- Department of Computer Science and Engineering, Washington University, 1 Brookings Hall, St Louis, MO 63110, USA
| | | | - Mikhail Y Berezin
- Department of Radiology, Washington University School of Medicine, 4515 McKinley Ave, St Louis, MO 63110, USA
- HSpeQ LLC, 4340 Duncan Ave, St Louis, MO 63110, USA
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