Investigation of human pancreatic cancer tissues by Fourier Transform Infrared Hyperspectral Imaging

Abstract

Fourier-transform infrared hyperspectral imaging (FTIR-HSI) provides hyperspectral images containing both morphological and chemical information. It is widely applied in the biomedical field to detect tumor lesions, even at the early stage, by identifying specific spectral biomarkers. Pancreatic neoplasms present different prognoses and are not always easily classified by conventional analyses. In this study, tissue samples with diagnosis of pancreatic ductal adenocarcinoma and pancreatic neuroendocrine tumor were analyzed by FTIR-HSI and the spectral data compared with those from healthy and dysplastic samples. Multivariate/univariate approaches were complemented to hyperspectral images, and definite spectral markers of the different lesions identified. The malignant lesions were recognizable both from healthy/dysplastic pancreatic tissues (high values of phospholipids and triglycerides with shorter, more branched and less unsaturated alkyl chains) and between each other (different amounts of total lipids, phosphates and carbohydrates). These findings highlight different metabolic pathways characterizing the different samples, well detectable by FTIR-HSI. K E Y W O R D SFourier transform infrared hyperspectral imaging, multivariate analysis, pancreatic ductal adenocarcinoma, pancreatic neuroendocrine tumors, spectral biomarkers

A Spectroscopic Approach to Evaluate the Effects of Different Soil Tillage Methods and Nitrogen Fertilization Levels on the Biochemical Composition of Durum Wheat (Triticum turgidum subsp. durum) Leaves and Caryopses

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The Impact of Controlled Ovarian Stimulation Hormones on the Metabolic State and Endocannabinoid System of Human Cumulus Cells

“…To highlight the spectral variations among the experimental groups, PC loadings were analysed. Moreover, for the analysis with all the experimental groups, PCA was coupled with Linear Discriminant Analysis (LDA): in spectroscopy, PCA is often used to reduce the spectral dataset to PC scores; then, LDA is performed using PC scores as variables [ 60 , 61 ] (OriginPro 2018b). The number of PCs selected for LDA represented 95% of the cumulative explained variance.…”

Hermetia illucens and Poultry by-Product Meals as Alternatives to Plant Protein Sources in Gilthead Seabream (Sparus aurata) Diet: A Multidisciplinary Study on Fish Gut Status

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