肾纤维化是大多数肾脏疾病发展为终末期肾衰竭的共同病理表现，目前临床上在早期诊断和纤维化定量分级方面存在困难。申请人前期研究发现拉曼技术能为肾脏疾病组织提供具有临床诊断意义的指纹光谱；二次谐波成像技术具有定量检测纤维化组织的潜力。本项目拟结合这两种技术的优势对肾纤维化疾病进行早期诊断与定量分级研究。首先运用拉曼光谱技术获取病变组织中重要分子在纤维化过程中结构、含量、亲水性等物理和化学性质的变化情况；其次是运用银胶表面增强拉曼光谱技术探讨病变血清的指纹光谱，结合遗传算法和线性判别分析其临床早期诊断意义；再者使用二次谐波成像技术探讨纤维化组织的信号关系、波长效应等光学参数，得到定量评价纤维化程度的非线性光学指标；最后综合利用这两种光学技术实现肾纤维化的诊断与分级。本项目能为肾纤维化的诊断与定量分级评价提供一套比传统临床方法更精确的光学检测技术。

Renal fibrosis is a common pathological performance for most kidney disease progressed to the end-stage renal failure. It is difficult to early diagnose and evaluate the pathological process in clinical. The results of our previous studies on renal diseases showed that the micro-Raman spectroscopy and second harmonic generation imaging technologies have the potential of quantitative diagnosing the renal fibrosis. In this project, we intend to diagnose and classify the process of renal fibrosis used these two technologies. First, the Raman spectra of diseased tissues are employed to discuss the physical and chemical changes which contained molecular structure, content and hydrophilic in the process of renal fibrosis. Second, with the help of genetic algorithm and linear discriminate analysis methods, the “fingerprint” spectrum of diseased serum which is surface-enhanced by silver colloid is used to investigate the clinical early diagnostic significance. Furthermore, nonlinear optical indexes which contained wavelength sensitivity and the signal relationship of different degree of fibrosis tissues are obtained for quantitative classifying the process of fibrosis based on second harmonic generation technology. Finally, we desire to achieve the purpose of diagnosis and quantitative classification the process of renal fibrosis with a combination of these two optical techniques. This project will provide a more precise optical detection technology for renal fibrosis diagnosis and evaluation.