Li Xiuting, Dinish U S, Aguirre Juan, Bi Renzhe, Dev Kapil, Attia Amalina Binte Ebrahim, Nitkunanantharajah Suhanyaa, Lim Qian Han, Schwarz Mathias, Yew Yik Weng, Thng Steven Tien Guan, Ntziachristos Vasilis, Olivo Malini
Laboratory of Bio-Optical Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
Technical University of Munich, Munich, Germany.
J Biophotonics. 2019 Sep;12(9):e201800442. doi: 10.1002/jbio.201800442. Epub 2019 May 28.
Raster Scanning Optoacoustic Mesoscopy (RSOM) is a novel optoacoustic imaging modality that offers non-invasive, label-free, high resolution (~7 μm axial, ~30 μm lateral) imaging up to 1 to 2 mm below the skin, providing novel quantitative insights into skin pathophysiology. As the RSOM image contrast mechanism is based on light absorption, it is expected that the amount of melanin present in the skin will affect RSOM images. However, the effect of skin tone in the performance of RSOM has not been addressed so far. Herein, we present the efficiency of RSOM for in vivo skin imaging of human subjects with Fitzpatrick (FP) skin types between II to V. RSOM images acquired from the volar forearms of the subjects were used to derive metrics used in RSOM studies, such as total blood volume, vessel diameter and melanin signal intensity. Our study shows that the melanin signal intensity derived from the RSOM images exhibited an excellent correlation with that obtained from a clinical colorimeter for the subjects of varying FP skin types. We could successfully estimate the vessel diameter at different depths of the dermis. Furthermore, our study shows that there is a need to compensate for total blood volume calculated for subjects with higher FP skin types due to the lower signal-to-noise ratio in dermis, owing to strong absorption of light by melanin. This study sheds light into how RSOM can be used for studying various skin conditions in populations with different skin phenotypes.
光栅扫描光声显微镜（RSOM）是一种新型的光声成像模式，可提供非侵入性、无标记、高分辨率（轴向约7μm，横向约30μm）的成像，深度可达皮肤以下1至2mm，为皮肤病理生理学提供了新的定量见解。由于RSOM图像的对比机制基于光吸收，预计皮肤中存在的黑色素量会影响RSOM图像。然而，到目前为止，皮肤色调对RSOM性能的影响尚未得到研究。在此，我们展示了RSOM对Fitzpatrick（FP）皮肤类型在II至V之间的人类受试者进行体内皮肤成像的效率。从受试者掌侧前臂获取的RSOM图像用于得出RSOM研究中使用的指标，如总血容量、血管直径和黑色素信号强度。我们的研究表明，对于不同FP皮肤类型的受试者，从RSOM图像得出的黑色素信号强度与从临床色度计获得的黑色素信号强度具有极好的相关性。我们能够成功估计真皮不同深度处的血管直径。此外，我们的研究表明，由于黑色素对光的强烈吸收，真皮中的信噪比降低，因此需要对FP皮肤类型较高的受试者计算的总血容量进行补偿。这项研究揭示了RSOM如何用于研究不同皮肤表型人群中的各种皮肤状况。
