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Liu Y, Liu X, Shu Y, Yu Y. Progress of the Impact of Terahertz Radiation on Ion Channel Kinetics in Neuronal Cells. Neurosci Bull 2024:10.1007/s12264-024-01277-0. [PMID: 39231899 DOI: 10.1007/s12264-024-01277-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 04/12/2024] [Indexed: 09/06/2024] Open
Abstract
In neurons and myocytes, selective ion channels in the plasma membrane play a pivotal role in transducing chemical or sensory stimuli into electrical signals, underpinning neural and cardiac functionality. Recent advancements in biomedical research have increasingly spotlighted the interaction between ion channels and electromagnetic fields, especially terahertz (THz) radiation. This review synthesizes current findings on the impact of THz radiation, known for its deep penetration and non-ionizing properties, on ion channel kinetics and membrane fluid dynamics. It is organized into three parts: the biophysical effects of THz exposure on cells, the specific modulation of ion channels by THz radiation, and the potential pathophysiological consequences of THz exposure. Understanding the biophysical mechanisms underlying these effects could lead to new therapeutic strategies for diseases.
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Affiliation(s)
- Yanjiang Liu
- Research Institute of Intelligent and Complex Systems, Fudan University, Shanghai, 200433, China
| | - Xi Liu
- Research Institute of Intelligent and Complex Systems, Fudan University, Shanghai, 200433, China
- MOE Frontiers Center for Brain Science and State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, 200433, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, 20043, China
- Institute for Translational Brain Research, Fudan University, Shanghai, 200433, China
- Department of Neurosurgery, Jinshan Hospital of Fudan University, Shanghai, 201508, China
| | - Yousheng Shu
- Research Institute of Intelligent and Complex Systems, Fudan University, Shanghai, 200433, China.
- MOE Frontiers Center for Brain Science and State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, 200433, China.
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, 20043, China.
- Institute for Translational Brain Research, Fudan University, Shanghai, 200433, China.
| | - Yuguo Yu
- Research Institute of Intelligent and Complex Systems, Fudan University, Shanghai, 200433, China.
- MOE Frontiers Center for Brain Science and State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, 200433, China.
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, China.
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2
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Ge M, Wang Y, Mu N, Yang C, Li H, Chen T, Xu D, Yao J. Study of the relationship among biomarkers, cell and tissue of glioma through Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 325:125063. [PMID: 39232314 DOI: 10.1016/j.saa.2024.125063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 07/21/2024] [Accepted: 08/25/2024] [Indexed: 09/06/2024]
Abstract
Glioma is the most common brain tumors with high mortality and recurrence rates. Currently, the diagnosis methods for glioma are mainly based on tissue level, cellular level and biomarker level. In this paper, the characteristics of biomarkers (γ-aminobutyric acid and matrix mtalloproteinses-2), U87MG glioma cell and tissue were studied based on Raman spectroscopy, respectively. The results showed that the γ-aminobutyric acid concentration exhibited a linear relation with the intensity of characteristic peaks in 800-1600 cm-1 region, whereas the spectral baseline increased with the increasing of sample concentration in 200-700 cm-1 region. The Raman characteristics of matrix mtalloproteinses-2 in 20-1800 cm-1 region was investigated. Especially, it is demonstrated that the matrix mtalloproteinses-2 showed sixteen low-wavenumber Raman peaks in the range of 20-300 cm-1. Moreover, the U87MG glioma cell showed seven different Raman characteristic peaks in 600-1800 cm-1 region. Compared with the normal tissue, the Raman intensity of tumor tissue showed apparent intensity differences in 300-1800 cm-1, where the intensity changes of these Raman peaks were related to the reducing of the lipid metabolic pathways, and increase of the RNA in tumor tissue region. Furthermore, it is found that the Raman spectra of U87MG glioma cell and tumor tissue had corresponding peaks in the Raman spectra of the liquid γ-aminobutyric acid and matrix mtalloproteinses-2. It is suggested that the γ-aminobutyric acid and matrix mtalloproteinses-2 contributed to the formation and growth of glioma cell and tissue. Thus, Raman spectroscopy not only can diagnose glioma at the biomarkers, cellular and tissue level, but also analyze the relationship among the three. Furthermore, the results provided a physical marker for the detection of glioma in clinically.
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Affiliation(s)
- Meilan Ge
- School of Precision Instruments and Optoelectronics Engineering Tianjin University, Tianjin 300073, China; Key Laboratory of Optoelectronics Information Technology (Ministry of Education), Tianjin University, Tianjin 300073, China
| | - Yuye Wang
- School of Precision Instruments and Optoelectronics Engineering Tianjin University, Tianjin 300073, China; Key Laboratory of Optoelectronics Information Technology (Ministry of Education), Tianjin University, Tianjin 300073, China.
| | - Ning Mu
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Chuanyan Yang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Haibin Li
- School of Precision Instruments and Optoelectronics Engineering Tianjin University, Tianjin 300073, China; Key Laboratory of Optoelectronics Information Technology (Ministry of Education), Tianjin University, Tianjin 300073, China
| | - Tunan Chen
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Degang Xu
- School of Precision Instruments and Optoelectronics Engineering Tianjin University, Tianjin 300073, China; Key Laboratory of Optoelectronics Information Technology (Ministry of Education), Tianjin University, Tianjin 300073, China
| | - Jianquan Yao
- School of Precision Instruments and Optoelectronics Engineering Tianjin University, Tianjin 300073, China; Key Laboratory of Optoelectronics Information Technology (Ministry of Education), Tianjin University, Tianjin 300073, China
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Teymoori M, Yalcinkaya AD. Fano resonances induced by strong conductive coupling in cross-shaped metasurfaces for tunable EIT-like phenomena. Sci Rep 2024; 14:18556. [PMID: 39122912 PMCID: PMC11316014 DOI: 10.1038/s41598-024-69112-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 07/31/2024] [Indexed: 08/12/2024] Open
Abstract
Highly efficient Metamaterials are necessary for applications in sensing, communication, etc. Fano resonance and electromagnetically induced transparency-like phenomena are essential for obtaining high Q-factor and sensitive Metamaterials. Employing both numerical simulations and experimental analysis, we investigate the emergence of Fano resonance in cross-resonator Metamaterials facilitated by the conductive coupling between dark and bright resonators. We analyze the gradual shift of the fano resonance by tuning the dark resonator and finally form an electromagnetically induced transparency-like transmission peak. The strong coupling of the resonator is observed in the form of an anti-crossing and discussed through analytical models. We demonstrate that the coupling strength of the dark and bright resonance in our metamaterial is proportional to the asymmetry parameter, albeit at the cost of the Fano resonance's Q-factor. The findings and methods introduced in this study can be used to develop highly efficient THz Metamaterials for various applications operable in room conditions.
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Affiliation(s)
- Morteza Teymoori
- Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey.
- Department of Microsystems Engineering (IMTEK), University of Freiburg, 79110, Freiburg im Breisgau, Germany.
| | - Arda Deniz Yalcinkaya
- Department of Electrical and Electronics Engineering, Boğaziçi University, Istanbul, Turkey
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Wu X, Tao R, Sun Z, Zhang T, Li X, Yuan Y, Zheng S, Cao C, Zhang Z, Zhao X, Yang P. Ensemble learning prediction framework for EGFR amplification status of glioma based on terahertz spectral features. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 316:124351. [PMID: 38692109 DOI: 10.1016/j.saa.2024.124351] [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: 12/05/2023] [Revised: 03/24/2024] [Accepted: 04/24/2024] [Indexed: 05/03/2024]
Abstract
Epidermal growth factor receptor (EGFR) plays a pivotal role in the initiation and progression of gliomas. In particular, in glioblastoma, EGFR amplification emerges as a catalyst for invasion, proliferation, and resistance to radiotherapy and chemotherapy. Current approaches are not capable of providing rapid diagnostic results of molecular pathology. In this study, we propose a terahertz spectroscopic approach for predicting the EGFR amplification status of gliomas for the first time. A machine learning model was constructed using the terahertz response of the measured glioma tissues, including the absorption coefficient, refractive index, and dielectric loss tangent. The novelty of our model is the integration of three classical base classifiers, i.e., support vector machine, random forest, and extreme gradient boosting. The ensemble learning method combines the advantages of various base classifiers, this model has more generalization ability. The effectiveness of the proposed method was validated by applying an individual test set. The optimal performance of the integrated algorithm was verified with an area under the curve (AUC) maximum of 85.8 %. This signifies a significant stride toward more effective and rapid diagnostic tools for guiding postoperative therapy in gliomas.
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Affiliation(s)
- Xianhao Wu
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Rui Tao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070 China
| | - Zhiyan Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070 China
| | - Tianyao Zhang
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Xingyue Li
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Yuan Yuan
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Shaowen Zheng
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Can Cao
- Laser Engineering Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
| | - Zhaohui Zhang
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Xiaoyan Zhao
- School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China; Shunde Innovation School, University of Science and Technology Beijing, Foshan 528399, China.
| | - Pei Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Department of Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070 China.
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5
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Teng G, Wang Q, Hao Q, Fan A, Yang H, Xu X, Chen G, Wei K, Zhao Z, Khan MN, Idrees BS, Bao M, Luo T, Zheng Y, Lu B. Full-Stokes polarization laser-induced breakdown spectroscopy detection of infiltrative glioma boundary tissue. BIOMEDICAL OPTICS EXPRESS 2023; 14:3469-3490. [PMID: 37497487 PMCID: PMC10368052 DOI: 10.1364/boe.492983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/30/2023] [Accepted: 06/05/2023] [Indexed: 07/28/2023]
Abstract
The glioma boundary is difficult to identify during surgery due to the infiltrative characteristics of tumor cells. In order to ensure a full resection rate and increase the postoperative survival of patients, it is often necessary to make an expansion range resection, which may have harmful effects on the quality of the patient's survival. A full-Stokes laser-induced breakdown spectroscopy (FSLIBS) theory with a corresponding system is proposed to combine the elemental composition information and polarization information for glioma boundary detection. To verify the elemental content of brain tissues and provide an analytical basis, inductively coupled plasma mass spectrometry (ICP-MS) and LIBS are also applied to analyze the healthy, boundary, and glioma tissues. Totally, 42 fresh tissue samples are analyzed, and the Ca, Na, K elemental lines and CN, C2 molecular fragmental bands are proved to take an important role in the different tissue identification. The FSLIBS provides complete polarization information and elemental information than conventional LIBS elemental analysis. The Stokes parameter spectra can significantly reduce the under-fitting phenomenon of artificial intelligence identification models. Meanwhile, the FSLIBS spectral features within glioma samples are relatively more stable than boundary and healthy tissues. Other tissues may be affected obviously by individual differences in lesion positions and patients. In the future, the FSLIBS may be used for the precise identification of glioma boundaries based on polarization and elemental characterizing ability.
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Affiliation(s)
- Geer Teng
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7LD, United Kingdom
| | - Qianqian Wang
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
- Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314033, China
| | - Qun Hao
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314033, China
| | - Axin Fan
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
| | - Haifeng Yang
- Department of Neuro-Oncology, Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Xiangjun Xu
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
- Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314033, China
| | - Guoyan Chen
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Kai Wei
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Zhifang Zhao
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - M Nouman Khan
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Bushra Sana Idrees
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Mengyu Bao
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Tianzhong Luo
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
- Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314033, China
| | - Yongyue Zheng
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Bingheng Lu
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, China
- Key Laboratory of Photonic Information Technology, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, 100081, China
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Wang H, Shi W, Hou L, Li C, Wang Z, Yang L, Cao J. Quantitative analysis of aqueous biomolecular mixtures by THz spectroscopy based on high-power LiNbO 3 radiation source. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 287:122075. [PMID: 36356399 DOI: 10.1016/j.saa.2022.122075] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/26/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
The rapid and accurate identification of the types and contents of early pathological markers by THz technology are of particular importance for the prevention and treatment of major diseases. Nevertheless, these markers usually contain interference from water and other non-target molecules, resulting in low signal-to-noise ratio (SNR) and making identification and quantitative analysis difficult. Here, based on THz spectroscopy from a high-power THz source radiated by LiNbO3, we perform quantitative and real-time THz detection of mixtures (α-lactose monohydrate and 4-aminobenzoic acid) in liquids. The results demonstrate that the absorption spectra of the aqueous biomolecular mixtures exhibit an accumulation of THz features of each pure product, i.e., the amplitude of the absorption peaks is proportional to the mixing ratio, while the corresponding absorption baseline increases with decreasing concentration. Furthermore, the content of the target substance can be calculated from the linear relationship between the absorption spectra of pure and mixed samples. This technology will support the future application of THz-TDS in early disease diagnosis under complex states and environments.
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Affiliation(s)
- Haiqing Wang
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi'an University of Technology, Xi'an 710048, China
| | - Wei Shi
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi'an University of Technology, Xi'an 710048, China.
| | - Lei Hou
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi'an University of Technology, Xi'an 710048, China
| | - Chunhui Li
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi'an University of Technology, Xi'an 710048, China
| | - Zhiquan Wang
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi'an University of Technology, Xi'an 710048, China
| | - Lei Yang
- Key Laboratory of Ultrafast Photoelectric Technology and Terahertz Science in Shaanxi, Xi'an University of Technology, Xi'an 710048, China
| | - Juncheng Cao
- The Key Laboratory of Terahertz Solid-State Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
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Discovering Glioma Tissue through Its Biomarkers' Detection in Blood by Raman Spectroscopy and Machine Learning. Pharmaceutics 2023; 15:pharmaceutics15010203. [PMID: 36678833 PMCID: PMC9862809 DOI: 10.3390/pharmaceutics15010203] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 12/27/2022] [Accepted: 12/29/2022] [Indexed: 01/11/2023] Open
Abstract
The most commonly occurring malignant brain tumors are gliomas, and among them is glioblastoma multiforme. The main idea of the paper is to estimate dependency between glioma tissue and blood serum biomarkers using Raman spectroscopy. We used the most common model of human glioma when continuous cell lines, such as U87, derived from primary human tumor cells, are transplanted intracranially into the mouse brain. We studied the separability of the experimental and control groups by machine learning methods and discovered the most informative Raman spectral bands. During the glioblastoma development, an increase in the contribution of lactate, tryptophan, fatty acids, and lipids in dried blood serum Raman spectra were observed. This overlaps with analogous results of glioma tissues from direct Raman spectroscopy studies. A non-linear relationship between specific Raman spectral lines and tumor size was discovered. Therefore, the analysis of blood serum can track the change in the state of brain tissues during the glioma development.
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Sitnikov DS, Revkova VA, Ilina IV, Gurova SA, Komarov PS, Struleva EV, Konoplyannikov MA, Kalsin VA, Baklaushev VP. Studying the genotoxic effects of high intensity terahertz radiation on fibroblasts and CNS tumor cells. JOURNAL OF BIOPHOTONICS 2023; 16:e202200212. [PMID: 36250985 DOI: 10.1002/jbio.202200212] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/29/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
The data is obtained on the effect of high-intensity pulses of terahertz (THz) radiation with a broad spectrum (0.2-3 THz) on cell cultures. We have evaluated the threshold exposure parameters of THz radiation causing genotoxic effects in fibroblasts. Phosphorylation of histone H2AX at Ser 139 (γH2AX) was chosen as a marker for genotoxicity and a quantitative estimation of γH2AX foci number in fibroblasts was performed after cell irradiation with THz pulses for 30 min. No genotoxic effects of THz radiation were observed in fibroblasts unless peak intensity and electric field strength exceeded 21 GW cm-2 and 2.8 MV cm-1 , respectively. In tumor cell lines (neuroblastoma (SK-N-BE (2)) and glioblastoma (U87)), exposure to THz pulses with peak intensity of 21 GW cm-2 for 30 min caused no morphological changes as well as no statistically significant increase in histone phosphorylation foci number.
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Affiliation(s)
- Dmitry S Sitnikov
- Joint Institute for High Temperatures of the Russian Academy of Sciences, Moscow, Russia
| | - Veronika A Revkova
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies FMBA of Russia, Moscow, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Inna V Ilina
- Joint Institute for High Temperatures of the Russian Academy of Sciences, Moscow, Russia
| | - Svetlana A Gurova
- Obninsk Institute for Nuclear Power Engineering, National Research Nuclear University MEPhI, Obninsk, Russia
| | - Pavel S Komarov
- Joint Institute for High Temperatures of the Russian Academy of Sciences, Moscow, Russia
| | - Evgenia V Struleva
- Joint Institute for High Temperatures of the Russian Academy of Sciences, Moscow, Russia
| | - Mikhail A Konoplyannikov
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies FMBA of Russia, Moscow, Russia
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Vladimir A Kalsin
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies FMBA of Russia, Moscow, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Vladimir P Baklaushev
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies FMBA of Russia, Moscow, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
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Lv R, Wang Z, Ma Y, Li W, Tian J. Machine Learning Enhanced Optical Spectroscopy for Disease Detection. J Phys Chem Lett 2022; 13:9238-9249. [PMID: 36173116 DOI: 10.1021/acs.jpclett.2c02193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Optical spectroscopy plays an important role in disease detection. Improving the sensitivity and specificity of spectral detection has great importance in the development of accurate diagnosis. The development of artificial intelligence technology provides a great opportunity to improve the detection accuracy through machine learning methods. In this Perspective, we focus on the combination of machine learning methods with the optical spectroscopy methods widely used for disease detection, including absorbance, fluorescence, scattering, FTIR, terahertz, etc. By comparing the spectral analysis with different machine learning methods, we illustrate that the support vector machine and convolutional neural network are most effective, which have potential to further improve the classification accuracy to distinguish disease subtypes if these machine learning methods are used. This Perspective broadens the scope of optical spectroscopy enhanced by machine learning and will be useful for the development of disease detection.
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Affiliation(s)
- Ruichan Lv
- Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Zhan Wang
- Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yaqun Ma
- Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Wenjing Li
- Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Jie Tian
- Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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Tarabichi S, Al-Raeei M, Solieva O. Improving the accuracy of tumor surgery by THz imaging and making the results of pathological anatomy faster by THz spectroscopy. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2022. [DOI: 10.1186/s43088-022-00201-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The terahertz radiation is a specific part of the electromagnetic radiation spectrum and has multiple significant applications in multiple scientific researches such as the applications in the medicine. An important application of the terahertz is its use in tumor imaging which is very important in the tumor surgery; however, lots of physicians and workers in the medical field have little information or having no information at all, dealing with this significant part of the electromagnetic spectrum.
Results
In this work, we interviewed a number of local surgeons in Syrian Arab Republic, who reported that they visually delineate the contour of tumors to be removed, and in order to reduce the number of future possible interventions, a large margin of healthy tissue is often excised. Furthermore, a number of pathologists who reported that preparing samples of excised tissues for examination takes a long period of time which may extend to several days, and that the results of histopathology indicate in some cases the integrity of removed tissues.
Conclusion
We have found that a significant number of participants in the survey demonstrated that the importance of dealing with terahertz imaging and terahertz spectroscopy, encouraging to implement the technique in the Syrian Arab Republic.
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Cherkasova OP, Serdyukov DS, Nemova EF, Ratushnyak AS, Kucheryavenko AS, Dolganova IN, Xu G, Skorobogatiy M, Reshetov IV, Timashev PS, Spektor IE, Zaytsev KI, Tuchin VV. Cellular effects of terahertz waves. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210179VR. [PMID: 34595886 PMCID: PMC8483303 DOI: 10.1117/1.jbo.26.9.090902] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/08/2021] [Indexed: 05/15/2023]
Abstract
SIGNIFICANCE An increasing interest in the area of biological effects at exposure of tissues and cells to the terahertz (THz) radiation is driven by a rapid progress in THz biophotonics, observed during the past decades. Despite the attractiveness of THz technology for medical diagnosis and therapy, there is still quite limited knowledge about safe limits of THz exposure. Different modes of THz exposure of tissues and cells, including continuous-wave versus pulsed radiation, various powers, and number and duration of exposure cycles, ought to be systematically studied. AIM We provide an overview of recent research results in the area of biological effects at exposure of tissues and cells to THz waves. APPROACH We start with a brief overview of general features of the THz-wave-tissue interactions, as well as modern THz emitters, with an emphasis on those that are reliable for studying the biological effects of THz waves. Then, we consider three levels of biological system organization, at which the exposure effects are considered: (i) solutions of biological molecules; (ii) cultures of cells, individual cells, and cell structures; and (iii) entire organs or organisms; special attention is devoted to the cellular level. We distinguish thermal and nonthermal mechanisms of THz-wave-cell interactions and discuss a problem of adequate estimation of the THz biological effects' specificity. The problem of experimental data reproducibility, caused by rareness of the THz experimental setups and an absence of unitary protocols, is also considered. RESULTS The summarized data demonstrate the current stage of the research activity and knowledge about the THz exposure on living objects. CONCLUSIONS This review helps the biomedical optics community to summarize up-to-date knowledge in the area of cell exposure to THz radiation, and paves the ways for the development of THz safety standards and THz therapeutic applications.
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Affiliation(s)
- Olga P. Cherkasova
- Institute of Laser Physics of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
- Novosibirsk State Technical University, Russian Federation
| | - Danil S. Serdyukov
- Institute of Laser Physics of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
- Federal Research Center Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
| | - Eugenia F. Nemova
- Institute of Laser Physics of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
| | - Alexander S. Ratushnyak
- Institute of Computational Technologies of the Siberian Branch of the Russian Academy of Sciences, Russian Federation
| | - Anna S. Kucheryavenko
- Institute of Solid State Physics of the Russian Academy of Sciences, Russian Federation
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Russian Federation
| | - Irina N. Dolganova
- Institute of Solid State Physics of the Russian Academy of Sciences, Russian Federation
- Sechenov University, Institute for Regenerative Medicine, Russian Federation
- Sechenov University, World-Class Research Center “Digital Biodesign and Personalized Healthcare,” Russian Federation
| | - Guofu Xu
- Polytechnique Montreal, Department of Engineering Physics, Canada
| | | | - Igor V. Reshetov
- Sechenov University, Institute for Cluster Oncology, Russian Federation
- Academy of Postgraduate Education FSCC FMBA, Russian Federation
| | - Peter S. Timashev
- Sechenov University, Institute for Regenerative Medicine, Russian Federation
- Sechenov University, World-Class Research Center “Digital Biodesign and Personalized Healthcare,” Russian Federation
- N.N. Semenov Institute of Chemical Physics, Department of Polymers and Composites, Russian Federation
- Lomonosov Moscow State University, Department of Chemistry, Russian Federation
| | - Igor E. Spektor
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Russian Federation
| | - Kirill I. Zaytsev
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Russian Federation
- Sechenov University, Institute for Regenerative Medicine, Russian Federation
- Bauman Moscow State Technical University, Russian Federation
| | - Valery V. Tuchin
- Saratov State University, Russian Federation
- Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Russian Federation
- National Research Tomsk State University, Russian Federation
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Ke L, Wu QYS, Zhang N, Liu HW, Teo EPW, Mehta JS, Liu YC. Ex vivo sensing and imaging of corneal scar tissues using terahertz time domain spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 255:119667. [PMID: 33773432 DOI: 10.1016/j.saa.2021.119667] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 02/21/2021] [Accepted: 02/28/2021] [Indexed: 06/12/2023]
Abstract
Pulsed terahertz (THz) broadband spectroscopy and imaging were applied to investigate ex vivo rabbit corneal scar tissues. Scars with different depths and densities were created by laser ablation on four corneal samples while two corneal samples untouched were used as control. The THz time-domain spectroscopy and reconstructed images illustrated the scar tissue density and gave out depth variation distribution profiles. Calculated absorption coefficient spectra displayed extra absorption peaks compared with control corneas and refractive index spectra showed the optical properties changed at the corneal scar locations. THz spectroscopy and imaging demonstrated adequate contrast in reviewing the scar densities and locations and showed potential applications in depicting spatial distribution and composition changes of corneal scars.
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Affiliation(s)
- Lin Ke
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research, Singapore.
| | - Qing Yang Steve Wu
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research, Singapore
| | - Nan Zhang
- Institute of Materials Research and Engineering, Agency for Science, Technology and Research, Singapore
| | - Hong Wei Liu
- Jiangsu Key Lab on Opto-Electronic Technology, School of Physics and Technology, Nanjing Normal University, 1 Wenyuan Road, Nanjing 210023, China
| | | | - Jodhbir S Mehta
- Singapore Eye Research Institute, Singapore; Singapore National Eye Centre, Singapore; Ophthalmology and Visual Science Academic Clinical Research Program, Duke-NUS Medical School, Singapore
| | - Yu-Chi Liu
- Singapore Eye Research Institute, Singapore; Singapore National Eye Centre, Singapore; Ophthalmology and Visual Science Academic Clinical Research Program, Duke-NUS Medical School, Singapore.
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