In vivo volumetric monitoring of revascularization of traumatized skin using extended depth-of-field photoacoustic microscopy

Cheng, Zhongwen; Ma, Huaiyu; Wang, Zhiyang; Yang, Sihua

doi:10.1007/s12200-020-1040-0

Cited by 35 publications

(22 citation statements)

References 48 publications

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“…4 (c) shows the Hilbert transform and Hilbert envelope of the photoacoustic echo signal for the ultrasonic transducer. According to reference [ 26 ], the axial resolution of the ultrasonic transducer can be obtained by using the full width at half-maximum (FWHM) of the Hilbert-transformed envelope of the time-domain photoacoustic signal. Fig.…”

Section: Methodsmentioning

confidence: 99%

Classification and discrimination of real and fake blood based on photoacoustic spectroscopy combined with particle swarm optimized wavelet neural networks

Ren

Liu

2021

Photoacoustics

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Section: Methodsmentioning

confidence: 99%

Classification and discrimination of real and fake blood based on photoacoustic spectroscopy combined with particle swarm optimized wavelet neural networks

Ren

Liu

2021

Photoacoustics

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“…To this end, OA has demonstrated powerful performance for imaging ulcers, traumatized skin and diabetes-associated lesions. [132][133][134] The morphological differences between the standard and traumatized dermis and epidermis observed in OA images can also help tailoring the best treatment options. Also, the dynamic aspects of occlusion and reperfusion of the skin vasculature could be visualized with OA systems operating at sufficiently high frame rates.…”

Section: Burns and Other Types Of Woundsmentioning

confidence: 99%

Optoacoustic imaging of the skin

Deán‐Ben

Razansky

2021

Experimental Dermatology

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Optoacoustic (OA, photoacoustic) imaging capitalizes on the synergistic combination of light excitation and ultrasound detection to empower biological and clinical investigations with rich optical contrast while effectively bridging the gap between micro and macroscopic imaging realms. State-of-the-art OA embodiments consistently provide images at micron-scale resolution through superficial tissue layers by means of focused illumination that can be smoothly exchanged for acoustic-resolution images at diffuse light depths of several millimetres to centimetres via ultrasound beamforming or tomographic reconstruction. Taken together, this unique multi-scale imaging capacity opens unprecedented capabilities for high-resolution in vivo interrogations of the skin at scalable depths. Moreover, diverse anatomical and functional information is retrieved via dynamic mapping of endogenous chromophores such as haemoglobin, melanin, lipids, collagen, water and others. This, along with the use of non-ionizing radiation, facilitates a clinical translation of the OA modalities. We review recent progress in OA imaging of the skin in preclinical and clinical studies exploiting the rich contrast provided by endogenous substances in tissues. The imaging capabilities of existing approaches are discussed in the context of initial translational studies on skin cancer, inflammatory skin diseases, wounds and other conditions.

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“…The new detection approach of photoacoustic microscopy (PAM) (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24) has been proposed and developed in dermatology to noninvasively visualize the epidermal melanin content and dermal microvasculature of human skin (25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36). However, studies that have used PAM lack fine-scale visualization of multilayered skin structures (including of the stratum corneum, stratum basale, and dermis) and the distribution of endogenous pigments.…”

Section: Introductionmentioning

confidence: 99%

Quantitative multilayered assessment of skin lightening by photoacoustic microscopy

Wang¹,

Yang²,

Cheng³

et al. 2022

Quant Imaging Med Surg

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Background: With the emergence of various new skin-lightening products, there is an urgent need to scientifically evaluate the efficacy and toxicology of these products, and provide scientific guidance for their use based on physiological differences between individuals. Visualized imaging methods and quantitative evaluation criteria play key roles in evaluating the efficacy of skin-lightening products. In order to quantify the changes in the multilayered morphology and endogenous components of human skin before and after the use of lightening products, high-resolution three-dimensional (3D) imaging of human skin is required.Methods: In this study, photoacoustic microscopy (PAM; SSPM-532, Guangdong Photoacoustic Medical Technology Co., Ltd.) was used to capture the morphological structures of human skin and reveal skin components quantitatively. The efficacy and safety of skin-lightening products were evaluated by measuring skin melanin concentration and observing skin morphology. The melanin concentration in the epidermis was obtained by examining the linear relationship between photoacoustic (PA) signals. Further, the epidermal thickness and the melanin distribution were obtained in the cross-sectional (x-z) and lateral (x-y) images.Finally, the efficacy of skin-lightening products was evaluated according to the concentration and distribution of melanin in the epidermis, and the safety of cosmetics was assessed by observing the vascular morphology in the dermis.Results: PAM noninvasively could assess the multilayered morphological structures of human skin, which allowed for quantification of epidermal thickness and melanin concentration of different skin sites. Based on this, the efficacy and safety of skin-lightening products in multilayer structures were quantitatively evaluated.Conclusions: As a quantitative imaging method, PAM, has the potential to accurately evaluate the use of skin-lightening products. The method can also be extended to assessments within the larger field of aesthetic medicine.

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In vivo volumetric monitoring of revascularization of traumatized skin using extended depth-of-field photoacoustic microscopy

Cited by 35 publications

References 48 publications

Classification and discrimination of real and fake blood based on photoacoustic spectroscopy combined with particle swarm optimized wavelet neural networks

Classification and discrimination of real and fake blood based on photoacoustic spectroscopy combined with particle swarm optimized wavelet neural networks

Optoacoustic imaging of the skin

Quantitative multilayered assessment of skin lightening by photoacoustic microscopy

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