| 研究実績の概要 |
Urine sediment microscopy is vital in accurate diagnosis of kidney and urinary tract diseases. However, it is not universally adopted because it expensive, time consuming and required trained personnel. So, we plan to develop artificial intelligence (AI) assisted Raman microscopy for reliable and automated examination of urine sediment. We prepared artificial urine and measured Raman spectra of various components in urine successfully. We then employed multivariate analyses such as principal component analysis (PCA) to differentiate multiple components but it did not provide detailed molecular information. Therefore we further employed multivariate curve resolution analysis (MCR) to extract pure molecular spectra which helped to identify markers for objectively diagnosis.
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