Научная статья на тему 'Optical Clearing for Deep Skin Imaging with Optical Methods'

Optical Clearing for Deep Skin Imaging with Optical Methods Текст научной статьи по специальности «Медицинские технологии»

CC BY
8
0
i Надоели баннеры? Вы всегда можете отключить рекламу.
Ключевые слова
Raman spectroscopy / confocal Raman microspectroscopy / two-photon tomography / second harmonic generation / two-photon excited autofluorescence / epidermis / dermis / deep tissue imaging

Аннотация научной статьи по медицинским технологиям, автор научной работы — Maxim E. Darvin, Jürgen Lademann

Skin imaging with optical methods is always limited in depth mainly due to the strong scattering of the excitation and emission light, which significantly reduces the contrast of the images and the probing depth. One of the reasons for the scattering is the mismatch in refractive indices between the skin components, which can be minimized using an optical clearing procedure – the topical application of immersion liquid on the skin. Professor Valery V. Tuchin is a well-known scientist who plays a major role in the field of determination and maintenance of the optical properties of biological objects, including skin, and was a driving force in the development of the optical clearing method. In addition, Professor Valery V. Tuchin can be considered the “Father of Biophotonics in Russia” due to his long-standing, highly effective and globally recognized work in the field of biophotonics, biomedical optics and laser medicine. The following article provides an overview of the work carried out at the Charité – Universitätsmedizin Berlin, Department of Dermatology, Center of Experimental and Applied Cutaneous Physiology, in cooperation with Professor Valery V. Tuchin, on the improvement of image contrast and the increase of probing depth in the skin using exemplary optical methods in combination with optical clearing. © 2024 Journal of Biomedical Photonics & Engineering

i Надоели баннеры? Вы всегда можете отключить рекламу.
iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
i Надоели баннеры? Вы всегда можете отключить рекламу.

Текст научной работы на тему «Optical Clearing for Deep Skin Imaging with Optical Methods»

Optical Clearing for Deep Skin Imaging with Optical Methods

Maxim E. Darvin1* and Jürgen Lademann2

1 Independent Researcher, Berlin 10178, Germany

2 Center of Experimental and Applied Cutaneous Physiology, Department of Dermatology, Venerology and Allergology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 1 Charitéplatz, Berlin 10117, Germany

*e-mail: [email protected]

Abstract. Skin imaging with optical methods is always limited in depth mainly due to the strong scattering of the excitation and emission light, which significantly reduces the contrast of the images and the probing depth. One of the reasons for the scattering is the mismatch in refractive indices between the skin components, which can be minimized using an optical clearing procedure - the topical application of immersion liquid on the skin. Professor Valery V. Tuchin is a well-known scientist who plays a major role in the field of determination and maintenance of the optical properties of biological objects, including skin, and was a driving force in the development of the optical clearing method. In addition, Professor Valery V. Tuchin can be considered the "Father of Biophotonics in Russia" due to his long-standing, highly effective and globally recognized work in the field of biophotonics, biomedical optics and laser medicine. The following article provides an overview of the work carried out at the Charité - Universitätsmedizin Berlin, Department of Dermatology, Center of Experimental and Applied Cutaneous Physiology, in cooperation with Professor Valery V. Tuchin, on the improvement of image contrast and the increase of probing depth in the skin using exemplary optical methods in combination with optical clearing. © 2024 Journal of Biomedical Photonics & Engineering.

Keywords: Raman spectroscopy; confocal Raman microspectroscopy; two-photon tomography; second harmonic generation; two-photon excited autofluorescence; epidermis; dermis; deep tissue imaging.

Paper #9197 received 11 Dec 2024; revised manuscript received 17 Dec 2024; accepted for publication 18 Dec 2024; published online 29 Dec 2024. doi: 10.18287/JBPE24.10.040204.

1 Introduction

Optical microscopic and spectroscopic methods are widespread in dermatology to image the hidden structures and substances in the skin. These include linear optics-based methods such as laser scanning microscopy in reflectance and fluorescence mode, confocal Raman micro spectroscopy, optical coherence tomography; and non-linear optics-based methods such as two-photon tomography, coherent anti-Stokes Raman scattering, stimulated Raman scattering - comprehensively reviewed in Refs. [1-7]. The primary limitation of all optical methods used in dermatology is their low imaging depth, which is generally limited to a few hundred ^m

and considerably restricts skin diagnostics. The reason for the imaging limitation is a strong scattering of the skin - the light is reflected multiple times within the skin components with different refractive indices («lipids = 1,47; «collagen = 1.47; «nuclei = 1.39; «water = 1.33; «blood = 1.4; «air = 1.00) [4, 8]. The greater the refractive index mismatch along the light propagation, the stronger the scattering.

To minimize the mismatch of reflective indices, the immersion optical clearing (OC) method was introduced by Professor Valery V. Tuchin in 1997 [9], who is a pioneer of this development and of further research on biological objects using optical methods in combination with OC [8, 10-14]. The basic idea of the OC method for

the skin is the topical application of a non-toxic optical clearing agent (OCA) with a refractive index comparable to the refractive index of the main skin components (proteins and lipids), with the ability to squeeze out interstitial fluid (mainly water) and replace it with an OCA [8, 9, 15]. The most frequently used OCAs are glycerol (n = 1.47 at 785 nm) [16], glycerol in water 60%/40% (n = 1.41 at 785 nm) [16], glucose and fructose (n = 1.46-1.48) [17], propylene glycol (n = 1.43) [17], iohexol (n = 1.43 at 760 nm) [15], polyethylene glycol (n = 1.46 at 930 nm) [18], their mixtures and solutions in water. Topical application of OCA minimizes the mismatch of the refractive indices considerably, reduces the scattering and thus increases the probing depth. However, the OC method has a few limitations when used in vivo - not every OCA is biocompatible with the skin and can induce irreversible changes to skin components at the micro level, so the concentration used and the application time should be considered [17].

Since many scientific groups worldwide are following the development of OC and the successful combination of optical methods with OC has been demonstrated for decades [10, 14, 17, 19-22], we summarize below the results in this field achieved in the past by the authors of this manuscript, previously employed at the Center of Experimental and Applied Cutaneous Physiology, Department of Dermatology, Charité - Universitâtsmedizin Berlin, in cooperation with Professor Valery V. Tuchin. These results include application of OC using confocal Raman micro spectroscopy and two-photon tomography in dermatological research.

2 Results and Discussion

2.1 Optical Clearing of the Skin - Important Application Features

The stratum corneum (SC), the outermost layer of the epidermis, consists of denucleated cells (corneocytes) embedded in a structurally organized lipid matrix, is hardly permeable and maintains the skin barrier function [23-25]. Consequently, the topically applied OCA is mainly stored in the superficial SC depth and does not penetrate the deeper skin layers. To realize the OC method efficiently, OCA should permeate the SC. Therefore, in most studies, OCA penetration is facilitated by removing part or all of the SC by means of tape stripping, creation of micropores, micro ablation, etc. [8]. Another option is to mix a target OCA with penetration enhancers, such as ethanol, dimethyl sulfoxide, thiazone, linoleic and oleic acids [8]. Thus, OC is always associated with the influence on the SC with its complete or partial destruction - it is classified as a low-invasive method. In vivo applications are not too common compared to the widely used ex vivo investigations to improve probing depth by imaging methods [18, 19, 26-31]. For in vivo OC, mixtures of glycerol/dimethyl sulfoxide or propylene glycol/water with a proportion of ~70/(5-20)/(10-25)% are popular, but not limited to these OCAs. In vivo skin OC has its action

time - it reaches its maximum 10-15 min after treatment, the effect lasts about 45 min and then slowly decreases due to the substitution of OCA by interstitial fluid.

2.2. Confocal Raman Micro Spectroscopy (CRM)

CRM is a non-invasive spectroscopic method that provides depth-resolved information about skin composition with chemical sensitivity down to a depth of -50 ^m [32, 33]. CRM is very popular in skin research and is used to study structural and physiological features of the skin in vivo and ex vivo [32, 34, 35]. CRM helps to determine penetration depth of topically applied substances [32, 36, 37] and to evaluate their influence on the skin [38, 39], to identify changes in the SC between healthy and non-malignant diseased skin [40-43], and to determine cancerous tissue [44-50].

The enhanced probing depth by combining CRM and OC methods [51-53] was confirmed by Sdobnov et al. [54] using porcine ear skin with destroyed SC ex vivo and 70/30% glycerol/water and 100% iohexol as OCAs. The results show a significant increase in Raman band intensities (increment factor >1) 30-60 min after topical treatment of the skin with glycerol (for 40-240 ^m depth) and iohexol (for 160-240 ^m depth) compared to untreated skin. Superficial skin areas show no OC efficiency (increment factor <1), which is due to the presence of OCA in these skin depths. The authors demonstrated that OCAs penetrate into the dermis, provide an OC and cause a significant dehydration of the collagen, which is more pronounced after application of glycerol than iohexol. Comparable results were obtained by Jaafar et al. for porcine dura mater ex vivo (glycerol/water solution in different proportions as OCA) [55] and for porcine lung tissue ex vivo (e-cigarette liquid as OCA) [56] using a combination of CRM with OC.

In addition, Yanina et al. [16] investigated OC on intact porcine skin ex vivo without disturbing the SC by applying a mixture of glycerol and dimethyl sulfoxide and found that a solution of 80/20% glycerol/dimethyl sulfoxide for 15-45 min was optimal to permeate the SC and reach the viable epidermis.

It is known that the contact of OCA with a biological object leads to its dehydration, but the question of the changes in water mobility states after OCA treatment was open. Based on the decomposition of Raman spectra and determination of water mobility states, Sdobnov et al. [57, 58] studied the interaction of 70/30% glycerol/water and 100% iohexol on water homeostasis in porcine skin with the removed SC ex vivo. Fig. 1 shows that glycerol induced the highest water displacement from the epidermis and dermis (depths 0-200 ^m) and a decrease in the concentrations of all water mobility states (tightly-, strongly-, weakly-bound, and unbound water), while the hydrogen bonding state of the water (ratio of weakly bound to strongly bound water) did not change significantly (0-200 ^m) after the OCA treatment. It is concluded that the weakly bound and strongly bound

water mobility states, which are most prevalent in the skin, are preferentially involved in OCA-induced water flux in the skin, and are thus mainly responsible for OC efficiency [57]. Treatment with both OCAs leads to a significant decrease in the fluorescence intensity of the Raman spectra at a depth of 0-50 ^m, which is explained by the presence of the OCAs in this skin region due to penetration [15, 58].

The main limitation of using a combination of CRM and OC is the strong overlapping of skin- and OCA-related Raman bands in a broad spectral range, which hinders the calculation of some structural and physiological features of the skin. Another aspect is an i« vivo application - here the safety of the applied OCA and the doses should be confirmed.

Fig 1. Skin depth profiles of (A) total water content (determined by the ratio of total water to proteins content),

(B) hydrogen bonding state of water molecules (determined by the ratio of weakly bound to strongly bound water),

(C) concentration of tightly bound water, (D) concentration of strongly bound water, (E) concentration of weakly bound water, and (F) concentration of unbound water determined on porcine ear skin ex vivo using CRM (excitation at 671 nm, detection at 3000-3750 cm-1). Thick red line - untreated skin; blue solid line/green dotted line - skin treated with Iohexol (Omnipaque) for 30/60 min; purple solid line/orange dotted line - skin treated with glycerol for 30/60 min. SC - stratum corneum; SSp - stratum spinosum; PD - papillary dermis, RD - reticular dermis. Reproduced with permission from Ref. [57].

2.3. Two-Photon Tomography (TPT)

TPT is a non-invasive imaging method that enables depth-resolved visualization of skin structures by measuring two-photon excited autofluorescence, fluorescence lifetime imaging (TPE-FLIM) and second harmonic generation (SHG) to a depth of -150 ^m. TPT is used in skin research with a focus on the visualization of epidermal and dermal structures including cells of different types [59-62], tattoos [63], collagen and elastin in the dermis [64-66], for the determination of the penetration of topically applied substances in the skin [2, 67, 68], and in clinical research (mainly in skin cancer diagnostics) [69-72] both in vivo and ex vivo. Compared to methods based on linear optics, TPT offers excellent subcellular axial (<2 ^m) and lateral (<0.6 ^m) resolution and the highest imaging depth. Despite the high resolution, the images in the dermis at a depth exceeding 80 ^m are partially blurred [60, 61, 63] and can still be improved. The selectivity of TPT to different

substances (measured with SHG and TPE-FLIM) is unique in in vivo skin imaging.

Skin scattering reduces image quality and probing depth, so the combination of TPT with OC may be useful to minimize these limitations. Cicchi et al. [73] were the first to show that the OCAs glycerol, propylene glycol and glucose at high concentrations effectively improve image contrast and probing depth in TPT of human skin ex vivo. Sdobnov et al. [74] investigated porcine skin ex vivo and found up to a 2-fold enhancement in autofluorescence intensity at 30-100 ^m and up to a 7-fold enhancement in second harmonic generation intensity at 130-180 ^m after using 40-100% glycerol in water solution. The use of iohexol also leads to an enhancement in signal intensity, but to a much lesser extent than with glycerol [15, 74, 75]. Fig. 2 demonstrates structural horizontal TPT images of porcine ear skin ex vivo (autofluorescence/SHG are shown in red/green) for various depths (5-165 ^m) after application of 100% iohexol (Omnipague), glycerol in water solutions, as well as for an untreated skin sample.

Fig. 2 Exemplary TPT images of different skin layers obtained ex vivo for porcine ear skin samples using different iohexol (Omnipaque) and glycerol solutions as OCAs. The red colour corresponds to two-photon-excited autofluorescence and the green colour corresponds to SHG intensities. The image size is 100 ^m x 100 ^m. Reproduced with permission from Ref. [74].

These results show that both glycerol and iohexol solutions increase the probing depth and image quality in the skin so that the deep-located regions can be examined. Glycerol is more effective than iohexol at the concentration and application time values used. However, since iohexol (Omnipaque) is a radiocontrast agent used i« vivo in X-ray microscopy and an approved pharmaceutic agent for topical or systemic use with no known impact on the skin, it is more promising than glycerol for i« vivo application.

One of the future prospects for reducing the influence of scattering on image quality and probing depth may be the combination of OC with a TPT device upgraded with adaptive optics elements, in particular spatial light modulators, used for wavefront correction [76-78], similar to what Yu et al. [79] showed for optical coherence tomography.

3 Conclusions

The effect of OC is generally observed in all biological objects investigated using optical methods and is here

References

presented for CRM and TPT used for skin diagnostics. The improvement in image quality and probing depth due to a reduced scattering using optical methods is clearly pronounced after OC and is consistent with the results presented by other authors. The effectiveness of OC depends on the type of OCA, its concentration, and the application time. Although many OCAs are already used in vivo, an important limitation of OC method is still its application in vivo, as not all OCAs are biocompatible with the skin and can potentially cause irreversible changes in skin components. Therefore, future studies should be considered for the optimization of the composition and concentration of OCAs with the aim of achieving fast OC effect and rapid recovery with no or minimal effects on skin components.

Disclosures

The authors declare no conflict of interest.

1. J. Lademann, A. Patzelt, M. Darvin, H. Richter, C. Antoniou, W. Sterry, and S. Koch, "Application of optical noninvasive methods in skin physiology," Laser Physics Letters 5(5), 335-346 (2008).

2. M. E. Darvin, "Optical Methods for Non-Invasive Determination of Skin Penetration: Current Trends, Advances, Possibilities, Prospects, and Translation into In Vivo Human Studies," Pharmaceutics 15(9), 2272 (2023).

3. M. E. Darvin, M. C. Meinke, W. Sterry, and J. Lademann, "Optical methods for noninvasive determination of carotenoids in human and animal skin," Journal of Biomedical Optics 18(6), 061230 (2013).

4. B. Limcharoen, S. Wanichwecharungruang, W. Banlunara, and M. E. Darvin, "Seeing through the skin: Optical methods for visualizing transdermal drug delivery with microneedles," Advanced Drug Delivery Reviews 217, 115478 (2025).

5. M. A. Calin, S. V. Parasca, R. Savastru, M. R. Calin, and S. Dontu, "Optical techniques for the noninvasive diagnosis of skin cancer," Journal of Cancer Research and Clinical Oncology 139(7), 1083-1104 (2013).

6. K. M. Hanson and C. J. Bardeen, "Application of Nonlinear Optical Microscopy for Imaging Skinf," Photochemistry and Photobiology 85(1), 33-44 (2009).

7. L. Rey-Barroso, S. Peña-Gutiérrez, C. Yáñez, F. J. Burgos-Fernández, M. Vilaseca, and S. Royo, "Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review," Sensors 21(1), 252 (2021).

8. A. Yu. Sdobnov, M. E. Darvin, E. A. Genina, A. N. Bashkatov, J. Lademann, and V. V. Tuchin, "Recent progress in tissue optical clearing for spectroscopic application," Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 197, 216-229 (2018).

9. V. V. Tuchin, "Light propagation in tissues with controlled optical properties," Journal of Biomedical Optics 2(4), 401 (1997).

10. D. Zhu, K. V. Larin, Q. Luo, and V. V. Tuchin, "Recent progress in tissue optical clearing," Laser & Photonics Reviews 7(5), 732-757 (2013).

11. V. V. Tuchin (Ed.), Tissue Optics Light scattering methods and instruments for medical diagnostics, 3 ed., SPIE Press, Bellingham, Washington, USA (2015).

12. V. V. Tuchin, "Optical clearing of tissues and blood using the immersion method," Journal of Physics D: Applied Physics 38(15), 2497-2518 (2005).

13. V. V. Tuchin (Ed.), Handbook of Optical Sensing of Glucose in Biological Fluids and Tissues, CRC Press, Boca Raton (2008).

14. T. Yu, X. Zhong, D. Li, J. Zhu, V. V. Tuchin, and D. Zhu, "Delivery and kinetics of immersion optical clearing agents in tissues: Optical imaging from ex vivo to in vivo," Advanced Drug Delivery Reviews 215, 115470 (2024).

15. A. Yu. Sdobnov, J. Lademann, M. E. Darvin, and V. V. Tuchin, "Methods for Optical Skin Clearing in Molecular Optical Imaging in Dermatology," Biochemistry Moscow 84(S1), 144-158 (2019).

16. I. Yu. Yanina, J. Schleusener, J. Lademann, V. V. Tuchin, and M. E. Darvin, "The Effectiveness of Glycerol Solutions for Optical Clearing of the Intact Skin as Measured by Confocal Raman Microspectroscopy," Optics and Spectroscopy 128(6), 759-765 (2020).

17. I. Costantini, R. Cicchi, L. Silvestri, F. Vanzi, and F. S. Pavone, "In-vivo and ex-vivo optical clearing methods for biological tissues: review," Biomedical Optics Express 10(10), 5251 (2019).

18. E. A. Genina, A. N. Bashkatov, G. S. Terentyuk, and V. V. Tuchin, "Integrated effects of fractional laser microablation and sonophoresis on skin immersion optical clearing in vivo," Journal of Biophotonics 13(7), e202000101 (2020).

19. Q. Xia, D. Li, T. Yu, J. Zhu, and D. Zhu, "In vivo skin optical clearing for improving imaging and light-induced therapy: a review," Journal of Biomedical Optics 28(06), (2023).

20. L. Fernandes, H. Silva, I. Martins, S. Carvalho, I. Carneiro, R. Henrique, V. V. Tuchin, and L. M. Oliveira, "Tissue Spectroscopy and Optical Clearing of Colorectal Mucosa in the Pursuit of New Cancer Diagnostic Approaches," Journal of Biomedical Photonics & Engineering 7(4), 040302 (2021).

21. L. R. Oliveira, M. R. Pinheiro, D. K. Tuchina, P. A. Timoshina, M. I. Carvalho, L. M. Oliveira, "Light in evaluation of molecular diffusion in tissues: discrimination of pathologies," Advanced Drug Delivery Reviews 212, 115420 (2024).

22. T. Yu, J. Zhu, D. Li, and D. Zhu, "Physical and chemical mechanisms of tissue optical clearing," iScience 24(3), 102178 (2021).

23. J. A. Bouwstra, M. Ponec, "The skin barrier in healthy and diseased state," Biochimica et Biophysica Acta (BBA) -Biomembranes 1758(12), 2080-2095 (2006).

24. J. Caussin, G. S. Gooris, M. Janssens, and J. A. Bouwstra, "Lipid organization in human and porcine stratum corneum differs widely, while lipid mixtures with porcine ceramides model human stratum corneum lipid organization very closely," Biochimica et Biophysica Acta (BBA) - Biomembranes 1778(6), 1472-1482 (2008).

25. F. Damien, M. Boncheva, "The Extent of Orthorhombic Lipid Phases in the Stratum Corneum Determines the Barrier Efficiency of Human Skin In Vivo," Journal of Investigative Dermatology 130(2), 611-614 (2010).

26. M. S. Saveleva, R. A. Verkhovskii, P. A. Demina, Y. I. Surkov, R. A. Anisimov, E. S. Prikhozhdenko, P. S. Pidenko, I. A. Serebryakova, S. M. Zaytsev, V. V. Tuchin, and Y. I. Svenskaya, "Biodegradable calcium carbonate carriers for the topical delivery of clobetasol propionate," Journal of Materials Chemistry B 12(20), 4867-4881 (2024).

27. M. V. Novoselova, T. O. Abakumova, B. N. Khlebtsov, T. S. Zatsepin, E. N. Lazareva, V. V. Tuchin, V. P. Zharov, D. A. Gorin, and E. I. Galanzha, "Optical clearing for photoacoustic lympho- and angiography beyond conventional depth limit in vivo," Photoacoustics 20, 100186 (2020).

28. D. Zhu, V. Tuchin, "Tissue Optical Clearing Imaging from Ex vivo toward In vivo," BME Front 5, 0058 (2024).

29. I. Yu. Yanina, Y. Tanikawa, E. A. Genina, P. A. Dyachenko, D. K. Tuchina, A. N. Bashkatov, L. E. Dolotov, Y. V. Tarakanchikova, G. S. Terentuk, N. A. Navolokin, A. B. Bucharskaya, G. N. Maslyakova, Y. Iga, S. Takimoto, and V. V. Tuchin, "Immersion optical clearing of adipose tissue in rats: ex vivo and in vivo studies," Journal of Biophotonics 15(7), e202100393 (2022).

30. E. A. Genina, E. A. Kolesnikova, V. G. Artyushenko, E. Berik, and V. V. Tuchin, "Enhanced Optical Imaging of Proximal Human Interphalangeal Joints Using Skin Optical Clearing," Journal of Biomedical Photonics & Engineering 10(4), 040303 (2024).

31. S. M. Zaytsev, M. Amouroux, V. V. Tuchin, E. A. Genina, and W. Blondel, "In vivo skin optical clearing efficacy quantification of clinically compatible agents using line-field confocal optical coherence tomography," Journal of Biomedical Optics 28(05), (2023).

32. P. J. Caspers, H. A. Bruining, G. J. Puppels, G. W. Lucassen, and E. A. Carter, "In Vivo Confocal Raman Microspectroscopy of the Skin: Noninvasive Determination of Molecular Concentration Profiles," Journal of Investigative Dermatology 116(3), 434-442 (2001).

33. R. J. H. Richters, D. Falcone, N. E. Uzunbajakava, B. Varghese, P. J. Caspers, G. J. Puppels, P. E. J. Van Erp, and P. C. M. Van De Kerkhof, "Sensitive Skin: Assessment of the Skin Barrier Using Confocal Raman Microspectroscopy," Skin Pharmacology and Physiology 30(1), 1-12 (2017).

34. M. E. Darvin, J. Schleusener, J. Lademann, and C.-S. Choe, "Current Views on Noninvasive in vivo Determination of Physiological Parameters of the Stratum Corneum Using Confocal Raman Microspectroscopy," Skin Pharmacology and Physiology 35(3), 125-136 (2022).

35. B. P. Yakimov, A. V. Venets, J. Schleusener, V. V. Fadeev, J. Lademann, E. A. Shirshin, and M. E. Darvin, "Blind source separation of molecular components of the human skin in vivo : non-negative matrix factorization of Raman microspectroscopy data," Analyst 146(10), 3185-3196 (2021).

36. D. Lunter and R. Daniels, "Confocal Raman microscopic investigation of the effectiveness of penetration enhancers for procaine delivery to the skin," Journal of Biomedical Optics 19(12), 126015 (2014).

37. M. A. Maciel Tabosa, P. Vitry, P. Zarmpi, A. L. Bunge, N. A. Belsey, D. Tsikritsis, T. J. Woodman, K. A. J. White, M. B. Delgado-Charro, and R. H. Guy, "Quantification of Chemical Uptake into the Skin by Vibrational Spectroscopies and Stratum Corneum Sampling," Molecular Pharmaceutics 20(5), 2527-2535 (2023).

38. C. Choe, J. Schleusener, J. Lademann, and M. E. Darvin, "In vivo confocal Raman microscopic determination of depth profiles of the stratum corneum lipid organization influenced by application of various oils," Journal of Dermatological Science 87(2), 183-191 (2017).

39. M. E. Darvin, A. Salazar, J. Schleusener, J. Lademann, and J. Von Hagen, "Topical Peroxisome Prolferator-Activated Receptor Agonist Induces Molecular Alterations Enhancing Barrier Function and Water-Holding Capacity of the Human Stratum Corneum In Vivo," Cosmetics 11(2), 44 (2024).

40. M. Zolotas, J. Schleusener, J. Lademann, M. C. Meinke, G. Kokolakis, and M. E. Darvin, "Atopic Dermatitis: Molecular Alterations between Lesional and Non-Lesional Skin Determined Noninvasively by In Vivo Confocal Raman Microspectroscopy," International Journal of Molecular Sciences 24(19), 14636 (2023).

41. M. Zolotas, J. Schleusener, J. Lademann, M. C. Meinke, G. Kokolakis, and M. E. Darvin, "Altered structure indicating reduced barrier function of lesional compared to non-lesional psoriatic skin - A non-invasive in vivo study of the human stratum corneum with confocal Raman micro-spectroscopy," Experimental Dermatology 32(10), 17631773 (2023).

42. U. S. Dinish, Y. W. Yew, K. Vinod Ram, R. Bi, A. B. E. Attia, V. Teo Xinhui, P. Rajarahm, H. H. Oon, S. T. G. Thng, and M. Olivo, "Non-invasive biochemical analysis and comparison of atopic dermatitis and psoriasis skin using handheld confocal Raman spectroscopy," Journal of Biophotonics 16(12), e202300191 (2023).

43. M. Wu, B. Gao, and X. Wei, "Recent advances in Raman spectroscopy for skin diagnosis," Journal of Innovative Optical Health Sciences 16(03), 2330003 (2023).

44. E. M. Barroso, R. W. H. Smits, C. G. F. Van Lanschot, P. J. Caspers, I. Ten Hove, H. Mast, A. Sewnaik, J. A. Hardillo, C. A. Meeuwis, R. Verdijk, V. Noordhoek Hegt, R. J. Baatenburg De Jong, E. B. Wolvius, T. C. Bakker Schut, S. Koljenovic, and G. J. Puppels, "Water Concentration Analysis by Raman Spectroscopy to Determine the Location of the Tumor Border in Oral Cancer Surgery," Cancer Research 76(20), 5945-5953 (2016).

45. I. A. Bratchenko, L. A. Bratchenko, Y. A. Khristoforova, A. A. Moryatov, S. V. Kozlov, and V. P. Zakharov, "Classification of skin cancer using convolutional neural networks analysis of Raman spectra," Computer Methods and Programs in Biomedicine 219, 106755 (2022).

46. Y. Khristoforova, I. Bratchenko, L. Bratchenko, A. Moryatov, S. Kozlov, O. Kaganov, and V. Zakharov, "Combination of Optical Biopsy with Patient Data for Improvement of Skin Tumor Identification," Diagnostics 12(10), 2503 (2022).

47. H. Lui, J. Zhao, D. McLean, and H. Zeng, "Real-time Raman Spectroscopy for In Vivo Skin Cancer Diagnosis," Cancer Research 72(10), 2491-2500 (2012).

48. I. A. Matveeva, A. I. Komlev, O. I. Kaganov, A. A. Moryatov, and V. P. Zakharov, "Multidimensional Analysis of Dermoscopic Images and Spectral Information for the Diagnosis of Skin Tumors," Journal of Biomedical Photonics & Engineering 10(1), 010307 (2024).

49. D. N. Artemyev, L. A. Bratchenko, I. A. Matveeva, V. I. Kukushkin, D. V. Lystsev, A. I. Ishchenko, A. A. Ishchenko, V. M. Zuev, and V. P. Zakharov, "Differential Rapid Diagnosis of Endometrial Cancer and Its Benign Pathological Conditions Using Surface-Enhanced Raman Spectroscopy," Journal of Biomedical Photonics & Engineering 10(2), 020307 (2024).

50. E. Rimskaya, A. Gorevoy, S. Shelygina, E. Perevedentseva, A. Timurzieva, I. Saraeva, N. Melnik, S. Kudryashov, and A. Kuchmizhak, "Multi-Wavelength Raman Differentiation of Malignant Skin Neoplasms," International Journal of Molecular Sciences 25(13), 7422 (2024).

51. D. Huang, W. Zhang, H. Zhong, H. Xiong, X. Guo, and Z. Guo, "Optical clearing of porcine skin tissue in vitro studied by Raman microspectroscopy," Journal of Biomedical Optics 17(1), 015004 (2012).

52. P. Liu, Y. Huang, Z. Guo, J. Wang, Z. Zhuang, and S. Liu, "Discrimination of dimethyl sulphoxide diffusion coefficient in the process of optical clearing by confocal micro-Raman spectroscopy," Journal of Biomedical Optics 18(2), 020507 (2013).

53. M. E. Darvin, J. Schleusener, F. Parenz, O. Seidel, C. Krafft, J. Popp, and J. Lademann, "Confocal Raman microscopy combined with optical clearing for identification of inks in multicolored tattooed skin in vivo," Analyst 143(20), 4990-4999 (2018).

54. A. Y. Sdobnov, V. V. Tuchin, J. Lademann, and M. E. Darvin, "Confocal Raman microscopy supported by optical clearing treatment of the skin—influence on collagen hydration," Journal of Physics D: Applied Physics 50(28), 285401 (2017).

55. A. Jaafar, M. E. Darvin, V. V. Tuchin, and M. Veres, "Confocal Raman Micro-Spectroscopy for Discrimination of Glycerol Diffusivity in Ex Vivo Porcine Dura Mater," Life 12(10), 1534 (2022).

56. A. Jaafar, A. Albarazanchi, M. J. Kadhim, M. E. Darvin, T. Vaczi, V. V. Tuchin, and M. Veres, "Impact of e-cigarette liquid on porcine lung tissue - Ex vivo confocal Raman micro-spectroscopy study," Journal of Biophotonics

e202300336 (2023).

57. A. Y. Sdobnov, M. E. Darvin, J. Schleusener, J. Lademann, and V. V. Tuchin, "Hydrogen bound water profiles in the skin influenced by optical clearing molecular agents—Quantitative analysis using confocal Raman microscopy," Journal of Biophotonics 12(5), e201800283 (2019).

58. A. Yu. Sdobnov, J. Schleusener, J. Lademann, V. V. Tuchin, and M. E. Darvin, "Water migration at skin optical clearing," in Handbook of Tissue Optical Clearing, V. V. Tuchin, D. Zhu, E. A. Genina (Eds.), 1st ed., CRC Press, Boca Raton, 167-184 (2022). ISBN: 9781003025252.

59. K. König, "Multiphoton microscopy in life sciences," Journal of Microscopy 200(2), 83-104 (2000).

iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.

60. M. Kröger, J. Scheffel, E. A. Shirshin, J. Schleusener, M. C. Meinke, J. Lademann, M. Maurer, and M. E. Darvin, "Label-free imaging of Ml and M2 macrophage phenotypes in the human dermis in vivo using two-photon excited FLIM," eLife 11, e72819 (2022).

61. M. Kröger, J. Scheffel, V. V. Nikolaev, E. A. Shirshin, F. Siebenhaar, J. Schleusener, J. Lademann, M. Maurer, and M. E. Darvin, "In vivo non-invasive staining-free visualization of dermal mast cells in healthy, allergy and mastocytosis humans using two-photon fluorescence lifetime imaging," Scientific Reports 10(1), 14930 (2020).

62. L. Deng, Z. Fan, B. Chen, H. Zhai, H. He, C. He, Y. Sun, Y. Wang, and H. Ma, "A Dual-Modality Imaging Method Based on Polarimetry and Second Harmonic Generation for Characterization and Evaluation of Skin Tissue Structures," International Journal of Molecular Sciences 24(4), 4206 (2023).

63. M. Kröger, J. Schleusener, J. Lademann, M. C. Meinke, S. Jung, and M. E. Darvin, "Tattoo Pigments Are Localized Intracellularly in the Epidermis and Dermis of Fresh and Old Tattoos: In vivo Study Using Two-Photon Excited Fluorescence Lifetime Imaging," Dermatology 239(3), 478-493 (2023).

64. M. J. Koehler, K. König, P. Elsner, R. Bückle, and M. Kaatz, "In vivo assessment of human skin aging by multiphoton laser scanning tomography," Optics Letters 31(19), 2879 (2006).

65. S. Springer, M. Zieger, A. Böttcher, J. Lademann, and M. Kaatz, "Examination of wound healing after curettage by multiphoton tomography of human skin in vivo," Skin Research and Technology 23(4), 452-458 (2017).

66. A.-M. Pena, T. Baldeweck, E. Decenciere, S. Koudoro, S. Victorin, E. Raynaud, B. Ngo, P. Bastien, S. Brizion, and E. Tancrede-Bohin, "In vivo multiphoton multiparametric 3D quantification of human skin aging on forearm and face," Scientific Reports 12(1), 14863 (2022).

67. F. Stracke, B. Weiss, C.-M. Lehr, K. König, U. F. Schaefer, and M. Schneider, "Multiphoton Microscopy for the Investigation of Dermal Penetration of Nanoparticle-Borne Drugs," Journal of Investigative Dermatology 126(10), 2224-2233 (2006).

68. M. S. Roberts, Y. Dancik, T. W. Prow, C. A. Thorling, L. L. Lin, J. E. Grice, T. A. Robertson, K. König, and W. Becker, "Non-invasive imaging of skin physiology and percutaneous penetration using fluorescence spectral and lifetime imaging with multiphoton and confocal microscopy," European Journal of Pharmaceutics and Biopharmaceutics 77(3), 469-488 (2011).

69. M. Klemp, M. C. Meinke, M. Weinigel, H. Röwert-Huber, K. König, M. Ulrich, J. Lademann, and M. E. Darvin, "Comparison of morphologic criteria for actinic keratosis and squamous cell carcinoma using in vivo multiphoton tomography," Experimental Dermatology 25(3), 218-222 (2016).

70. M. J. Koehler, M. Speicher, S. Lange-Asschenfeldt, E. Stockfleth, S. Metz, P. Elsner, M. Kaatz, and K. König, "Clinical application of multiphoton tomography in combination with confocal laser scanning microscopy for in vivo evaluation of skin diseases," Experimental Dermatology 20(7), 589-594 (2011).

71. K. König, "Clinical multiphoton tomography," Journal of Biophotonics 1(1), 13-23 (2008).

72. K. König, H. G. Breunig, A. Batista, A. Schindele, M. Zieger, and M. Kaatz, "Translation of two-photon microscopy to the clinic: multimodal multiphoton CARS tomography of in vivo human skin," Journal of Biomedical Optics 25(01), 1 (2020).

73. R. Cicchi, F. S. Pavone, D. Massi, and D. D. Sampson, "Contrast and depth enhancement in two-photon microscopy of human skin ex vivo by use of optical clearing agents," Optics Express 13(7), 2337 (2005).

74. A. Sdobnov, M. E. Darvin, J. Lademann, and V. Tuchin, "A comparative study of ex vivo skin optical clearing using two-photon microscopy," Journal of Biophotonics 10(9), 1115-1123 (2017).

75. A. Yu. Sdobnov, J. Lademann, V. V. Tuchin, and M. Darvin, "Nonlinear Optics of Skin: Enhancement of Autofluorescence and Second Harmonic Generation Signals by Immersion Optical Clearing," Journal of Biomedical Photonics & Engineering 030201 (2023).

76. C. Rodriguez, A. Chen, J. A. Rivera, M. A. Mohr, Y. Liang, R. G. Natan, W. Sun, D. E. Milkie, T. G. Bifano, X. Chen, and N. Ji, "An adaptive optics module for deep tissue multiphoton imaging in vivo," Nature Methods 18(10), 1259-1264 (2021).

77. Z. Qin, Z. She, C. Chen, W. Wu, J. K. Y. Lau, N. Y. Ip, and J. Y. Qu, "Deep tissue multi-photon imaging using adaptive optics with direct focus sensing and shaping," Nature Biotechnology 40(11), 1663-1671 (2022).

78. M. J. Booth, "Adaptive optics in microscopy," Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365(1861), 2829-2843 (2007).

79. H. Yu, P. Lee, Y. Jo, K. Lee, V. V. Tuchin, Y. Jeong, and Y. Park, "Collaborative effects of wavefront shaping and optical clearing agent in optical coherence tomography," Journal of Biomedical Optics 21(12), 121510 (2016).

i Надоели баннеры? Вы всегда можете отключить рекламу.