Kochan K, Maslak E, Chlopicki S, Baranska M
Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Krakow, Poland.
Analyst. 2015 Aug 7;140(15):4997-5002. doi: 10.1039/c5an00737b.
In this work we apply FT-IR imaging of large areas of liver tissue cross-section samples (∼5 cm × 5 cm) for quantitative assessment of steatosis in murine model of Non-Alcoholic Fatty Liver (NAFLD). We quantified the area of liver tissue occupied by lipid droplets (LDs) by FT-IR imaging and Oil Red O (ORO) staining for comparison. Two alternative FT-IR based approaches are presented. The first, straightforward method, was based on average spectra from tissues and provided values of the fat content by using a PLS regression model and the reference method. The second one – the chemometric-based method – enabled us to determine the values of the fat content, independently of the reference method by means of k-means cluster (KMC) analysis. In summary, FT-IR images of large size liver sections may prove to be useful for quantifying liver steatosis without the need of tissue staining.
在这项工作中，我们应用傅里叶变换红外光谱（FT-IR）成像技术对大面积肝脏组织横截面样本（约5厘米×5厘米）进行检测，以定量评估非酒精性脂肪肝（NAFLD）小鼠模型中的脂肪变性情况。我们通过FT-IR成像和油红O（ORO）染色对脂质滴（LDs）占据的肝脏组织面积进行了量化，以便进行比较。本文提出了两种基于FT-IR的替代方法。第一种是直接方法，基于组织的平均光谱，通过使用偏最小二乘（PLS）回归模型和参考方法来提供脂肪含量值。第二种是基于化学计量学的方法，通过k均值聚类（KMC）分析，使我们能够独立于参考方法确定脂肪含量值。总之，大尺寸肝脏切片的FT-IR图像可能被证明对定量肝脏脂肪变性有用，而无需进行组织染色。
