Kiss Norbert, Krolopp Ádám, Lőrincz Kende, Bánvölgyi András, Szipőcs Róbert, Wikonkál Norbert
Wigner RCP, Institute for Solid State Physics and Optics, P.O. Box 49, Budapest, H-1525, Hungary.
Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Pathol Oncol Res. 2018 Oct;24(4):927-930. doi: 10.1007/s12253-017-0356-6. Epub 2017 Nov 4.
Basal cell carcinoma (BCC) is the most common malignancy in Caucasians. Nonlinear microscopy has been previously utilized for the imaging of BCC, but the captured images do not correlate with H&E staining. Recently, Freudiger et al. introduced a novel method to visualize tissue morphology analogous to H&E staining, using coherent anti-Stokes Raman scattering (CARS) technique. In our present work, we introduce a novel algorithm to post-process images obtained from dual vibration resonance frequency (DVRF) CARS measurements to acquire high-quality pseudo H&E images of BCC samples. We adapted our CARS setup to utilize the distinct vibrational properties of CH (mainly in proteins) and CH bonds (primarily in lipids). In a narrowband setup, the central wavelength of the pump laser is set to 791 nm and 796 nm to obtain optimal excitation. Due to the partial overlap of the excitation spectra and the 5-10 nm FWHM spectral bandwidth of our lasers, we set the wavelengths to 790 nm (proteins) and 800 nm (lipids). Nonresonant background from water molecules also reduces the chemical selectivity which can be significantly improved if we subtract the DVRF images from each other. As a result, we acquired two images: one for "lipids" and one for" proteins" when we properly set a multiplication factor to minimize the non-specific background. By merging these images, we obtained high contrast H&E "stained" images of BBC's. Nonlinear microscope systems upgraded for real time DVRF CARS measurements, providing pseudo H&E images can be suitable for in vivo assessment of BCC in the future.
基底细胞癌(BCC)是白种人中最常见的恶性肿瘤。非线性显微镜先前已用于BCC的成像,但所捕获的图像与苏木精和伊红(H&E)染色不相关。最近,弗洛伊德格等人引入了一种新方法,使用相干反斯托克斯拉曼散射(CARS)技术来可视化类似于H&E染色的组织形态。在我们目前的工作中,我们引入了一种新算法,对从双振动共振频率(DVRF)CARS测量中获得的图像进行后处理,以获取BCC样本的高质量伪H&E图像。我们调整了CARS装置,以利用CH(主要存在于蛋白质中)和CH键(主要存在于脂质中)独特的振动特性。在窄带装置中,泵浦激光的中心波长设置为791nm和796nm以获得最佳激发。由于激发光谱的部分重叠以及我们激光器的5-10nm半高宽光谱带宽,我们将波长设置为790nm(蛋白质)和800nm(脂质)。水分子的非共振背景也会降低化学选择性,如果我们将DVRF图像相互相减,化学选择性可以得到显著提高。结果,当我们适当地设置一个乘法因子以最小化非特异性背景时,我们获得了两张图像:一张用于“脂质”,一张用于“蛋白质”。通过合并这些图像,我们获得了BCC的高对比度H&E“染色”图像。升级用于实时DVRF CARS测量并提供伪H&E图像的非线性显微镜系统将来可能适用于BCC的体内评估。