Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA.
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA.
Sci Rep. 2017 Sep 7;7(1):10829. doi: 10.1038/s41598-017-11091-6.
Minimizing morbidities and mortalities associated with skin cancers requires sustained research with the goal of obtaining fresh insights into disease onset and progression under specific stimuli, particularly the influence of ultraviolet rays. In the present study, label-free profiling of skin fibroblasts exposed to time-bound ultra-violet radiation has been performed using quantitative phase imaging and Raman spectroscopy. Statistically significant differences in quantifiable biophysical parameters, such as matter density and cell dry mass, were observed with phase imaging. Accurate estimation of changes in the biochemical constituents, notably nucleic acids and proteins, was demonstrated through a combination of Raman spectroscopy and multivariate analysis of spectral patterns. Overall, the findings of this study demonstrate the promise of these non-perturbative optical modalities in accurately identifying cellular phenotypes and responses to external stimuli by combining molecular and biophysical information.
为了降低与皮肤癌相关的发病率和死亡率,需要持续进行研究,以期深入了解特定刺激下(尤其是紫外线照射)疾病的发生和发展。本研究采用定量相位成像和拉曼光谱技术,对受限时的紫外线辐射暴露的皮肤成纤维细胞进行无标记分析。通过相位成像观察到可量化生物物理参数(如物质密度和细胞干质量)存在显著差异。拉曼光谱与光谱模式的多变量分析相结合,准确地估计了生化成分(特别是核酸和蛋白质)的变化。总的来说,本研究的结果表明,这些非侵入性的光学模式具有很大的应用潜力,可通过结合分子和生物物理信息,准确识别细胞表型和对外界刺激的反应。