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Navaeipour F, Hepburn MS, Li J, Metzner KL, Amos SE, Vahala D, Maher S, Choi YS, Kennedy BF. In situ stress estimation in quantitative micro-elastography. BIOMEDICAL OPTICS EXPRESS 2024; 15:3609-3626. [PMID: 38867802 PMCID: PMC11166433 DOI: 10.1364/boe.522002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/20/2024] [Accepted: 04/22/2024] [Indexed: 06/14/2024]
Abstract
In quantitative micro-elastography (QME), a pre-characterized compliant layer with a known stress-strain curve is utilized to map stress at the sample surface. However, differences in the boundary conditions of the compliant layer when it is mechanically characterized and when it is used in QME experiments lead to inconsistent stress estimation and consequently, inaccurate elasticity measurements. Here, we propose a novel in situ stress estimation method using an optical coherence tomography (OCT)-based uniaxial compression testing system integrated with the QME experimental setup. By combining OCT-measured axial strain with axial stress determined using a load cell in the QME experiments, we can estimate in situ stress for the compliant layer, more accurately considering its boundary conditions. Our proposed method shows improved accuracy, with an error below 10%, compared to 85% using the existing QME technique with no lubrication. Furthermore, demonstrations on hydrogels and cells indicate the potential of this approach for improving the characterization of the micro-scale mechanical properties of cells and their interactions with the surrounding biomaterial, which has potential for application in cell mechanobiology.
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Affiliation(s)
- Farzaneh Navaeipour
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia 6009, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, 35, Stirling Highway, Perth, Western Australia 6009, Australia
| | - Matt S. Hepburn
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia 6009, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, 35, Stirling Highway, Perth, Western Australia 6009, Australia
- Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Torun, Poland
| | - Jiayue Li
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia 6009, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, 35, Stirling Highway, Perth, Western Australia 6009, Australia
- Australian Research Council Centre for Personalised Therapeutics Technologies, Australia
| | - Kai L. Metzner
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia 6009, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, 35, Stirling Highway, Perth, Western Australia 6009, Australia
| | - Sebastian E. Amos
- School of Human Sciences, The University of Western Australia, 35 Stirling Highway, Perth, Western Australia 6009, Australia
| | - Danielle Vahala
- School of Human Sciences, The University of Western Australia, 35 Stirling Highway, Perth, Western Australia 6009, Australia
| | - Samuel Maher
- School of Human Sciences, The University of Western Australia, 35 Stirling Highway, Perth, Western Australia 6009, Australia
| | - Yu Suk Choi
- School of Human Sciences, The University of Western Australia, 35 Stirling Highway, Perth, Western Australia 6009, Australia
| | - Brendan F. Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth, Western Australia 6009, Australia
- Department of Electrical, Electronic and Computer Engineering, School of Engineering, The University of Western Australia, 35, Stirling Highway, Perth, Western Australia 6009, Australia
- Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, Grudziadzka 5, 87-100 Torun, Poland
- Australian Research Council Centre for Personalised Therapeutics Technologies, Australia
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Plekhanov AA, Kozlov DS, Shepeleva AA, Kiseleva EB, Shimolina LE, Druzhkova IN, Plekhanova MA, Karabut MM, Gubarkova EV, Gavrina AI, Krylov DP, Sovetsky AA, Gamayunov SV, Kuznetsova DS, Zaitsev VY, Sirotkina MA, Gladkova ND. Tissue Elasticity as a Diagnostic Marker of Molecular Mutations in Morphologically Heterogeneous Colorectal Cancer. Int J Mol Sci 2024; 25:5337. [PMID: 38791375 PMCID: PMC11120711 DOI: 10.3390/ijms25105337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/25/2024] [Accepted: 05/04/2024] [Indexed: 05/26/2024] Open
Abstract
The presence of molecular mutations in colorectal cancer (CRC) is a decisive factor in selecting the most effective first-line therapy. However, molecular analysis is routinely performed only in a limited number of patients with remote metastases. We propose to use tissue stiffness as a marker of the presence of molecular mutations in CRC samples. For this purpose, we applied compression optical coherence elastography (C-OCE) to calculate stiffness values in regions corresponding to specific CRC morphological patterns (n = 54). In parallel to estimating stiffness, molecular analysis from the same zones was performed to establish their relationships. As a result, a high correlation between the presence of KRAS/NRAS/BRAF driver mutations and high stiffness values was revealed regardless of CRC morphological pattern type. Further, we proposed threshold stiffness values for label-free targeted detection of molecular alterations in CRC tissues: for KRAS, NRAS, or BRAF driver mutation-above 803 kPa (sensitivity-91%; specificity-80%; diagnostic accuracy-85%), and only for KRAS driver mutation-above 850 kPa (sensitivity-90%; specificity-88%; diagnostic accuracy-89%). To conclude, C-OCE estimation of tissue stiffness can be used as a clinical diagnostic tool for preliminary screening of genetic burden in CRC tissues.
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Affiliation(s)
- Anton A. Plekhanov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Dmitry S. Kozlov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Anastasia A. Shepeleva
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
| | - Elena B. Kiseleva
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Liubov E. Shimolina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Irina N. Druzhkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Maria A. Plekhanova
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
- Nizhny Novgorod City Polyclinic #1, 5 Marshala Zhukova Sq., 603107 Nizhny Novgorod, Russia
| | - Maria M. Karabut
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Ekaterina V. Gubarkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Alena I. Gavrina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Dmitry P. Krylov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Alexander A. Sovetsky
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia
| | - Sergey V. Gamayunov
- Nizhny Novgorod Regional Oncologic Hospital, 11/1 Delovaya St., 603126 Nizhny Novgorod, Russia
| | - Daria S. Kuznetsova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Vladimir Y. Zaitsev
- Institute of Applied Physics of the Russian Academy of Sciences, 46 Ulyanova St., 603950 Nizhny Novgorod, Russia
| | - Marina A. Sirotkina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
| | - Natalia D. Gladkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Sq., 603950 Nizhny Novgorod, Russia
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Fan Y, Xu L, Liu S, Li J, Xia J, Qin X, Li Y, Gao T, Tang X. The State-of-the-Art and Perspectives of Laser Ablation for Tumor Treatment. CYBORG AND BIONIC SYSTEMS 2024; 5:0062. [PMID: 38188984 PMCID: PMC10769065 DOI: 10.34133/cbsystems.0062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 09/21/2023] [Indexed: 01/09/2024] Open
Abstract
Tumors significantly impact individuals' physical well-being and quality of life. With the ongoing advancements in optical technology, information technology, robotic technology, etc., laser technology is being increasingly utilized in the field of tumor treatment, and laser ablation (LA) of tumors remains a prominent area of research interest. This paper presents an overview of the recent progress in tumor LA therapy, with a focus on the mechanisms and biological effects of LA, commonly used ablation lasers, image-guided LA, and robotic-assisted LA. Further insights and future prospects are discussed in relation to these aspects, and the paper proposed potential future directions for the development of tumor LA techniques.
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Affiliation(s)
- Yingwei Fan
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Liancheng Xu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Shuai Liu
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Jinhua Li
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Jialu Xia
- School of Materials Science and Engineering, Hefei University of Technology, Hefei 230009, China
| | - Xingping Qin
- John B. Little Center for Radiation Sciences, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Yafeng Li
- China Electronics Harvest Technology Co. Ltd., China
| | - Tianxin Gao
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Xiaoying Tang
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China
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Fan Y, Liu S, Gao E, Guo R, Dong G, Li Y, Gao T, Tang X, Liao H. The LMIT: Light-mediated minimally-invasive theranostics in oncology. Theranostics 2024; 14:341-362. [PMID: 38164160 PMCID: PMC10750201 DOI: 10.7150/thno.87783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/18/2023] [Indexed: 01/03/2024] Open
Abstract
Minimally-invasive diagnosis and therapy have gradually become the trend and research hotspot of current medical applications. The integration of intraoperative diagnosis and treatment is a development important direction for real-time detection, minimally-invasive diagnosis and therapy to reduce mortality and improve the quality of life of patients, so called minimally-invasive theranostics (MIT). Light is an important theranostic tool for the treatment of cancerous tissues. Light-mediated minimally-invasive theranostics (LMIT) is a novel evolutionary technology that integrates diagnosis and therapeutics for the less invasive treatment of diseased tissues. Intelligent theranostics would promote precision surgery based on the optical characterization of cancerous tissues. Furthermore, MIT also requires the assistance of smart medical devices or robots. And, optical multimodality lay a solid foundation for intelligent MIT. In this review, we summarize the important state-of-the-arts of optical MIT or LMIT in oncology. Multimodal optical image-guided intelligent treatment is another focus. Intraoperative imaging and real-time analysis-guided optical treatment are also systemically discussed. Finally, the potential challenges and future perspectives of intelligent optical MIT are discussed.
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Affiliation(s)
- Yingwei Fan
- School of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081
| | - Shuai Liu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081
| | - Enze Gao
- School of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081
| | - Rui Guo
- School of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081
| | - Guozhao Dong
- School of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081
| | - Yangxi Li
- Dept. of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 100084
| | - Tianxin Gao
- School of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081
| | - Xiaoying Tang
- School of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081
| | - Hongen Liao
- Dept. of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 100084
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Metzner KL, Fang Q, Sanderson RW, Mowla A, Kennedy BF. Analysis of friction in quantitative micro-elastography. BIOMEDICAL OPTICS EXPRESS 2023; 14:5127-5147. [PMID: 37854567 PMCID: PMC10581800 DOI: 10.1364/boe.494013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/20/2023] [Accepted: 08/02/2023] [Indexed: 10/20/2023]
Abstract
Quantitative micro-elastography (QME) is a compression-based optical coherence elastography technique capable of measuring the mechanical properties of tissue on the micro-scale. As QME requires contact between the imaging window and the sample, the presence of friction affects the accuracy of the estimated elasticity. In previous implementations, a lubricant was applied at the contact surfaces, which was assumed to result in negligible friction. However, recently, errors in the estimation of elasticity caused by friction have been reported. This effect has yet to be characterized and is, therefore, not well understood. In this work, we present a systematic analysis of friction in QME using silicone phantoms. We demonstrate that friction, and, therefore, the elasticity accuracy, is influenced by several experimental factors, including the viscosity of the lubricant, the mechanical contrast between the compliant layer and the sample, and the time after the application of a compressive strain. Elasticity errors over an order of magnitude were observed in the absence of appropriate lubrication when compared to uniaxial compression testing. Using an optimized lubrication protocol, we demonstrate accurate elasticity estimation (<10% error) for nonlinear elastic samples with Young's moduli ranging from 3 kPa to 130 kPa. Finally, using a structured phantom, we demonstrate that friction can significantly reduce mechanical contrast in QME. We believe that the framework established in this study will facilitate more robust elasticity estimations in QME, as well as being readily adapted to understand the effects of friction in other contact elastography techniques.
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Affiliation(s)
- Kai L. Metzner
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Qi Fang
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Rowan W. Sanderson
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Alireza Mowla
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
| | - Brendan F. Kennedy
- BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, and Centre for Medical Research, The University of Western Australia, Perth, WA 6009, Australia
- Department of Electrical, Electronic & Computer Engineering, School of Engineering, The University of Western Australia, Perth, WA 6009, Australia
- Australian Research Council Centre for Personalised Therapeutics Technologies, Perth, WA 6000, Australia
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Plekhanov AA, Gubarkova EV, Sirotkina MA, Sovetsky AA, Vorontsov DA, Matveev LA, Kuznetsov SS, Bogomolova AY, Vorontsov AY, Matveyev AL, Gamayunov SV, Zagaynova EV, Zaitsev VY, Gladkova ND. Compression OCT-elastography combined with speckle-contrast analysis as an approach to the morphological assessment of breast cancer tissue. BIOMEDICAL OPTICS EXPRESS 2023; 14:3037-3056. [PMID: 37342703 PMCID: PMC10278614 DOI: 10.1364/boe.489021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 06/23/2023]
Abstract
Currently, optical biopsy technologies are being developed for rapid and label-free visualization of biological tissue with micrometer-level resolution. They can play an important role in breast-conserving surgery guidance, detection of residual cancer cells, and targeted histological analysis. For solving these problems, compression optical coherence elastography (C-OCE) demonstrated impressive results based on differences in the elasticity of different tissue constituents. However, sometimes straightforward C-OCE-based differentiation is insufficient because of the similar stiffness of certain tissue components. We present a new automated approach to the rapid morphological assessment of human breast cancer based on the combined usage of C-OCE and speckle-contrast (SC) analysis. Using the SC analysis of structural OCT images, the threshold value of the SC coefficient was established to enable the separation of areas of adipose cells from necrotic cancer cells, even if they are highly similar in elastic properties. Consequently, the boundaries of the tumor bed can be reliably identified. The joint analysis of structural and elastographic images enables automated morphological segmentation based on the characteristic ranges of stiffness (Young's modulus) and SC coefficient established for four morphological structures of breast-cancer samples from patients post neoadjuvant chemotherapy (residual cancer cells, cancer stroma, necrotic cancer cells, and mammary adipose cells). This enabled precise automated detection of residual cancer-cell zones within the tumor bed for grading cancer response to chemotherapy. The results of C-OCE/SC morphometry highly correlated with the histology-based results (r =0.96-0.98). The combined C-OCE/SC approach has the potential to be used intraoperatively for achieving clean resection margins in breast cancer surgery and for performing targeted histological analysis of samples, including the evaluation of the efficacy of cancer chemotherapy.
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Affiliation(s)
- Anton A. Plekhanov
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
| | - Ekaterina V. Gubarkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
| | - Marina A. Sirotkina
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
| | - Alexander A. Sovetsky
- Institute of Applied Physics of the Russian Academy of Sciences, Ulyanova st. 46, 603950 Nizhny Novgorod, Russia
| | - Dmitry A. Vorontsov
- Nizhny Novgorod Regional Oncologic Hospital, Delovaya st. 11/1, 603093 Nizhny Novgorod, Russia
| | - Lev A. Matveev
- Institute of Applied Physics of the Russian Academy of Sciences, Ulyanova st. 46, 603950 Nizhny Novgorod, Russia
| | - Sergey S. Kuznetsov
- Nizhny Novgorod Regional Oncologic Hospital, Delovaya st. 11/1, 603093 Nizhny Novgorod, Russia
| | - Alexandra Y. Bogomolova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
- Lobachevsky State University, Gagarin Avenue 23, 603950 Nizhny Novgorod, Russia
| | - Alexey Y. Vorontsov
- Nizhny Novgorod Regional Oncologic Hospital, Delovaya st. 11/1, 603093 Nizhny Novgorod, Russia
| | - Alexander L. Matveyev
- Institute of Applied Physics of the Russian Academy of Sciences, Ulyanova st. 46, 603950 Nizhny Novgorod, Russia
| | - Sergey V. Gamayunov
- Nizhny Novgorod Regional Oncologic Hospital, Delovaya st. 11/1, 603093 Nizhny Novgorod, Russia
| | - Elena V. Zagaynova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
- Lobachevsky State University, Gagarin Avenue 23, 603950 Nizhny Novgorod, Russia
| | - Vladimir Y. Zaitsev
- Institute of Applied Physics of the Russian Academy of Sciences, Ulyanova st. 46, 603950 Nizhny Novgorod, Russia
| | - Natalia D. Gladkova
- Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, Minin and Pozharsky sq. 10/1, 603950 Nizhny Novgorod, Russia
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