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Murugappan S, Tofail SAM, Thorat ND. Raman Spectroscopy: A Tool for Molecular Fingerprinting of Brain Cancer. ACS OMEGA 2023; 8:27845-27861. [PMID: 37576695 PMCID: PMC10413827 DOI: 10.1021/acsomega.3c01848] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 07/12/2023] [Indexed: 08/15/2023]
Abstract
Brain cancer is one of those few cancers with very high mortality and low five-year survival rate. First and foremost reason for the woes is the difficulty in diagnosing and monitoring the progression of brain tumors both benign and malignant, noninvasively and in real time. This raises a need in this hour for a tool to diagnose the tumors in the earliest possible time frame. On the other hand, Raman spectroscopy which is well-known for its ability to precisely represent the molecular markers available in any sample given, including biological ones, with great sensitivity and specificity. This has led to a number of studies where Raman spectroscopy has been used in brain tumors in various ways. This review article highlights the fundamentals of Raman spectroscopy and its types including conventional Raman, SERS, SORS, SRS, CARS, etc. are used in brain tumors for diagnostics, monitoring, and even theragnostics, collating all the major works in the area. Also, the review explores how Raman spectroscopy can be even more effectively used in theragnostics and the clinical level which would make them a one-stop solution for all brain cancer needs in the future.
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Affiliation(s)
- Sivasubramanian Murugappan
- Department of Physics, Bernal
Institute and Limerick Digital Cancer Research Centre (LDCRC)
University of Limerick, Castletroy, Limerick V94T9PX, Ireland
| | - Syed A. M. Tofail
- Department of Physics, Bernal
Institute and Limerick Digital Cancer Research Centre (LDCRC)
University of Limerick, Castletroy, Limerick V94T9PX, Ireland
| | - Nanasaheb D. Thorat
- Department of Physics, Bernal
Institute and Limerick Digital Cancer Research Centre (LDCRC)
University of Limerick, Castletroy, Limerick V94T9PX, Ireland
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2
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CARS Imaging Advances Early Diagnosis of Cardiac Manifestation of Fabry Disease. Int J Mol Sci 2022; 23:ijms23105345. [PMID: 35628155 PMCID: PMC9142043 DOI: 10.3390/ijms23105345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/05/2022] [Accepted: 05/08/2022] [Indexed: 12/12/2022] Open
Abstract
Vibrational spectroscopy can detect characteristic biomolecular signatures and thus has the potential to support diagnostics. Fabry disease (FD) is a lipid disorder disease that leads to accumulations of globotriaosylceramide in different organs, including the heart, which is particularly critical for the patient’s prognosis. Effective treatment options are available if initiated at early disease stages, but many patients are late- or under-diagnosed. Since Coherent anti-Stokes Raman (CARS) imaging has a high sensitivity for lipid/protein shifts, we applied CARS as a diagnostic tool to assess cardiac FD manifestation in an FD mouse model. CARS measurements combined with multivariate data analysis, including image preprocessing followed by image clustering and data-driven modeling, allowed for differentiation between FD and control groups. Indeed, CARS identified shifts of lipid/protein content between the two groups in cardiac tissue visually and by subsequent automated bioinformatic discrimination with a mean sensitivity of 90–96%. Of note, this genotype differentiation was successful at a very early time point during disease development when only kidneys are visibly affected by globotriaosylceramide depositions. Altogether, the sensitivity of CARS combined with multivariate analysis allows reliable diagnostic support of early FD organ manifestation and may thus improve diagnosis, prognosis, and possibly therapeutic monitoring of FD.
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3
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Choi DS, Lim S, Park JS, Kim CH, Rhee H, Cho M. Label-Free Live-Cell Imaging of Internalized Microplastics and Cytoplasmic Organelles with Multicolor CARS Microscopy. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:3045-3055. [PMID: 35133146 DOI: 10.1021/acs.est.1c06255] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
As the bioaccumulation of microplastics (MPs) is considered as a potential health risk, many efforts have been made to understand the cellular dynamics and cytotoxicity of MPs. Here, we demonstrate that label-free multicolor coherent anti-Stokes Raman scattering (CARS) microscopy enables separate vibrational imaging of internalized MPs and lipid droplets (LDs) with indistinguishable shapes and sizes in live cells. By simultaneously obtaining polystyrene (PS)- and lipid-specific CARS images at two very different frequencies, 1000 and 2850 cm-1, respectively, we successfully identify the local distribution of ingested PS beads and native LDs in Caenorhabditis elegans. We further show that the movements of PS beads and LDs in live cells can be separately tracked in real time, which allows us to characterize their individual intracellular dynamics. We thus anticipate that our multicolor CARS imaging method could be of great use to investigate the cellular transport and cytotoxicity of MPs without additional efforts for pre-labeling to MPs.
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Affiliation(s)
- Dae Sik Choi
- Technology Human Resource Support for SMEs Center, Korea Institute of Industrial Technology (KITECH), Cheonan 31056, Republic of Korea
- R&D Center, Uniotech, Daejeon 34013, Republic of Korea
| | - Sohee Lim
- Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science (IBS), Seoul 02841, Republic of Korea
- Department of Chemistry, Korea University, Seoul 02841, Republic of Korea
| | - Jin-Sung Park
- Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science (IBS), Seoul 02841, Republic of Korea
| | - Chang-Ho Kim
- Department of Chemistry and Institute of Biological Interfaces, Sogang University, Seoul 04107, Republic of Korea
| | - Hanju Rhee
- Seoul Center, Korea Basic Science Institute, Seoul 02841, Republic of Korea
| | - Minhaeng Cho
- Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science (IBS), Seoul 02841, Republic of Korea
- Department of Chemistry, Korea University, Seoul 02841, Republic of Korea
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4
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Bonzanini AD, Shao K, Stancampiano A, Graves DB, Mesbah A. Perspectives on Machine Learning-Assisted Plasma Medicine: Toward Automated Plasma Treatment. IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES 2022. [DOI: 10.1109/trpms.2021.3055727] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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5
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Neidert N, Straehle J, Erny D, Sacalean V, El Rahal A, Steybe D, Schmelzeisen R, Vlachos A, Reinacher PC, Coenen VA, Mizaikoff B, Heiland DH, Prinz M, Beck J, Schnell O. Stimulated Raman histology in the neurosurgical workflow of a major European neurosurgical center - part A. Neurosurg Rev 2021; 45:1731-1739. [PMID: 34914024 PMCID: PMC8976801 DOI: 10.1007/s10143-021-01712-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 11/22/2021] [Accepted: 11/26/2021] [Indexed: 12/02/2022]
Abstract
Histopathological diagnosis is the current standard for the classification of brain and spine tumors. Raman spectroscopy has been reported to allow fast and easy intraoperative tissue analysis. Here, we report data on the intraoperative implementation of a stimulated Raman histology (SRH) as an innovative strategy offering intraoperative near real-time histopathological analysis. A total of 429 SRH images from 108 patients were generated and analyzed by using a Raman imaging system (Invenio Imaging Inc.). We aimed at establishing a dedicated workflow for SRH serving as an intraoperative diagnostic, research, and quality control tool in the neurosurgical operating room (OR). First experiences with this novel imaging modality were reported and analyzed suggesting process optimization regarding tissue collection, preparation, and imaging. The Raman imaging system was rapidly integrated into the surgical workflow of a large neurosurgical center. Within a few minutes of connecting the device, the first high-quality images could be acquired in a “plug-and-play” manner. We did not encounter relevant obstacles and the learning curve was steep. However, certain prerequisites regarding quality and acquisition of tissue samples, data processing and interpretation, and high throughput adaptions must be considered. Intraoperative SRH can easily be integrated into the workflow of neurosurgical tumor resection. Considering few process optimizations that can be implemented rapidly, high-quality images can be obtained near real time. Hence, we propose SRH as a complementary tool for the diagnosis of tumor entity, analysis of tumor infiltration zones, online quality and safety control and as a research tool in the neurosurgical OR.
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Affiliation(s)
- Nicolas Neidert
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany.,Microenvironment and Immunology Research Laboratory, Medical Center, University of Freiburg, Freiburg, Germany
| | - Jakob Straehle
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany
| | - Daniel Erny
- Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Vlad Sacalean
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany.,Microenvironment and Immunology Research Laboratory, Medical Center, University of Freiburg, Freiburg, Germany
| | - Amir El Rahal
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany
| | - David Steybe
- Department of Oral and Maxillofacial Surgery, Medical Center, University of Freiburg, Freiburg, Germany
| | - Rainer Schmelzeisen
- Department of Oral and Maxillofacial Surgery, Medical Center, University of Freiburg, Freiburg, Germany.,Medical Faculty, Freiburg University, Freiburg, Germany
| | - Andreas Vlachos
- Medical Faculty, Freiburg University, Freiburg, Germany.,Department of Neuroanatomy, Institute of Anatomy and Cell Biology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center Brain Links Brain Tools, University of Freiburg, Freiburg, Germany
| | - Peter Christoph Reinacher
- Medical Faculty, Freiburg University, Freiburg, Germany.,Department of Stereotactic and Functional Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany.,Fraunhofer Institute for Laser Technology (ILT), Aachen, Germany
| | - Volker Arnd Coenen
- Medical Faculty, Freiburg University, Freiburg, Germany.,Department of Stereotactic and Functional Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, Ulm, Germany.,Hahn-Schickard Institute for Microanalysis Systems, Ulm, Germany
| | - Dieter Henrik Heiland
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany.,Microenvironment and Immunology Research Laboratory, Medical Center, University of Freiburg, Freiburg, Germany.,Medical Faculty, Freiburg University, Freiburg, Germany.,Comprehensive Cancer Center Freiburg (CCCF), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.,German Cancer Consortium (DKTK), partner site Freiburg, Freiburg, Germany
| | - Marco Prinz
- Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Medical Faculty, Freiburg University, Freiburg, Germany.,Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Jürgen Beck
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany.,Medical Faculty, Freiburg University, Freiburg, Germany.,Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Comprehensive Cancer Center Freiburg (CCCF), Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Oliver Schnell
- Department of Neurosurgery, Medical Center, University of Freiburg, Freiburg, Germany. .,Medical Faculty, Freiburg University, Freiburg, Germany.
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6
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Ramya AN, Arya JS, Madhukrishnan M, Shamjith S, Vidyalekshmi MS, Maiti KK. Raman Imaging: An Impending Approach Towards Cancer Diagnosis. Chem Asian J 2021; 16:409-422. [PMID: 33443291 DOI: 10.1002/asia.202001340] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/11/2021] [Indexed: 12/18/2022]
Abstract
In accordance with the recent studies, Raman spectroscopy is well experimented as a highly sensitive analytical and imaging technique in biomedical research, mainly for various disease diagnosis including cancer. In comparison with other imaging modalities, Raman spectroscopy facilitate numerous assistances owing to its low background signal, immense spatial resolution, high chemical specificity, multiplexing capability, excellent photo stability and non-invasive detection capability. In cancer diagnosis Raman imaging intervened as a promising investigative tool to provide molecular level information to differentiate the cancerous vs non-cancerous cells, tissues and even in body fluids. Anciently, spontaneous Raman scattering is very feeble due to its low signal intensity and long acquisition time but new advanced techniques like coherent Raman scattering (CRS) and surface enhanced Raman scattering (SERS) gradually superseded these issues. So, the present review focuses on the recent developments and applications of Raman spectroscopy-based imaging techniques for cancer diagnosis.
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Affiliation(s)
- Adukkadan N Ramya
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Jayadev S Arya
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Murali Madhukrishnan
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Shanmughan Shamjith
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Murukan S Vidyalekshmi
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Kaustabh K Maiti
- Chemical Sciences and Technology Division (CSTD), CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST), Thiruvananthapuram, 695019, Kerala, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
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7
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Bocklitz T, Silge A, Bae H, Rodewald M, Legesse FB, Meyer T, Popp J. Non-invasive Imaging Techniques: From Histology to In Vivo Imaging : Chapter of Imaging in Oncology. Recent Results Cancer Res 2020; 216:795-812. [PMID: 32594407 DOI: 10.1007/978-3-030-42618-7_25] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
In this chapter, we will introduce and review molecular-sensitive imaging techniques, which close the gap between ex vivo and in vivo analysis. In detail, we will introduce spontaneous Raman spectral imaging, coherent anti-Stokes Raman scattering (CARS), stimulated Raman scattering (SRS), second-harmonic generation (SHG) and third-harmonic generation (THG), two-photon excited fluorescence (TPEF), and fluorescence lifetime imaging (FLIM). After reviewing these imaging techniques, we shortly introduce chemometric methods and machine learning techniques, which are needed to use these imaging techniques in diagnostic applications.
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Affiliation(s)
- Thomas Bocklitz
- University of Jena, IPC, Helmholtzweg 4, 07743, Jena, Germany.
| | - Anja Silge
- University of Jena, IPC, Helmholtzweg 4, 07743, Jena, Germany
| | - Hyeonsoo Bae
- University of Jena, IPC, Helmholtzweg 4, 07743, Jena, Germany
| | - Marko Rodewald
- University of Jena, IPC, Helmholtzweg 4, 07743, Jena, Germany
| | | | - Tobias Meyer
- University of Jena, IPC, Helmholtzweg 4, 07743, Jena, Germany
| | - Jürgen Popp
- University of Jena, IPC, Helmholtzweg 4, 07743, Jena, Germany.
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Sibai M, Mehidine H, Moawad EK, Juchaux M, Varlet P, Devaux B, Abi Haidar D. Comparison of optically-derived biomarkers in healthy and brain tumor tissue under one- and two-photon excitation. JOURNAL OF BIOPHOTONICS 2019; 12:e201900111. [PMID: 31276313 DOI: 10.1002/jbio.201900111] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 07/02/2019] [Accepted: 07/04/2019] [Indexed: 06/09/2023]
Abstract
The surgical outcome of brain tumor resection and needle biopsy is significantly correlated to the patient's prognosis. Brain tumor surgery is limited to resecting the solid portion of the tumor as current intraoperative imaging modalities are incapable of delineating infiltrative regions. For accurate delineation, in situ tissue interrogation at the submicron scale is warranted. Additionally, multimodal detection is required to remediate the genetically and molecularly heterogeneous nature of brain tumors, notably, that of gliomas, meningioma and brain metastasis. Multimodal detection, such as spectrally- and temporally-resolved fluorescence under one- and two-photon excitation, enables characterizing tissue based on several endogenous optical contrasts. In order to assign the optically-derived parameters to different tissue types, construction of an optical database obtained from biopsied tissue is warranted. This report showcases the different quantitative and semi-quantitative optical markers that may comprise the tissue discrimination database. These include: the optical index ratio, the optical redox ratio, the relative collagen density, spectrally-resolved fluorescence lifetime parameters, two-photon fluorescence imaging and second harmonic generation imaging.
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Affiliation(s)
- Mira Sibai
- Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC), CNRS, Univ Paris Sud, Université Paris-Saclay, Orsay, France
- Université de Paris, IMNC, Orsay, France
| | - Hussein Mehidine
- Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC), CNRS, Univ Paris Sud, Université Paris-Saclay, Orsay, France
- Université de Paris, IMNC, Orsay, France
| | - Emile Kaadou Moawad
- Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC), CNRS, Univ Paris Sud, Université Paris-Saclay, Orsay, France
- Université de Paris, IMNC, Orsay, France
| | - Marjorie Juchaux
- Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC), CNRS, Univ Paris Sud, Université Paris-Saclay, Orsay, France
- Université de Paris, IMNC, Orsay, France
| | - Pascale Varlet
- Neuropathology Department, Sainte-Anne Hospital, Paris, France
- IMA BRAIN, INSERMU894, Centre de Psychiatrie et de Neurosciences, Paris, France
- Paris Descartes University, Paris, France
| | - Bertrand Devaux
- Paris Descartes University, Paris, France
- Neurosurgery Department, Sainte-Anne Hospital, Paris, France
| | - Darine Abi Haidar
- Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC), CNRS, Univ Paris Sud, Université Paris-Saclay, Orsay, France
- Université de Paris, IMNC, Orsay, France
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9
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Multimodal Nonlinear Microscopy for Therapy Monitoring of Cold Atmospheric Plasma Treatment. MICROMACHINES 2019; 10:mi10090564. [PMID: 31454918 PMCID: PMC6780561 DOI: 10.3390/mi10090564] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 08/19/2019] [Accepted: 08/21/2019] [Indexed: 02/07/2023]
Abstract
Here we report on a non-linear spectroscopic method for visualization of cold atmospheric plasma (CAP)-induced changes in tissue for reaching a new quality level of CAP application in medicine via online monitoring of wound or cancer treatment. A combination of coherent anti-Stokes Raman scattering (CARS), two-photon fluorescence lifetime imaging (2P-FLIM) and second harmonic generation (SHG) microscopy has been used for non-invasive and label-free detection of CAP-induced changes on human skin and mucosa samples. By correlation with histochemical staining, the observed local increase in fluorescence could be assigned to melanin. CARS and SHG prove the integrity of the tissue structure, visualize tissue morphology and composition. The influence of plasma effects by variation of plasma parameters e.g., duration of treatment, gas composition and plasma source has been evaluated. Overall quantitative spectroscopic markers could be identified for a direct monitoring of CAP-treated tissue areas, which is very important for translating CAPs into clinical routine.
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