Advanced Vibrational Spectroscopic Imaging of Human Tissue in Life Science

Abstract

Vibrational spectroscopic imaging has become an essential tool for tissue analyses in life science and represents a modern analytical technique enabling the detection and characterization of molecular components of biological samples. It is based on the absorption of IR radiation by vibrational transitions in covalent bonds and enables global analysis of samples, with resolution close to the cellular level. Advantage of vibrational spectroscopic imaging is the acquisition of local molecular expression profiles, while maintaining the topographic integrity of the tissue by avoiding time-consuming extraction, purification and/or separation steps, respectively. With this nondestructive analytical method it is possible to get both qualitative and quantitative information of heterogeneous samples and unique chemimorphological information about the tissue status, which represents an important benefit for future analytical interpretation of pathological changes of a tissue.

Non-destructive molecular FTIR spectromicroscopy for real time assessment of redox metallodrugs

“…[37][38][39] Therefore, using synchrotron IR beams and suitable sample holders, consistent advances have been made for an appropriate analysis of biological samples using FTIR spectromicroscopy. The FTIR chemical imaging technique has proven valuable in the study of spatially resolved electron transfer reactions 40,41 and intact biological samples particularly in cancer research [42][43][44][45][46][47][48][49] for the elucidation of histopathological features of tissues [50][51][52] and single cells. [53][54][55][56] With the development of different sample-holders where the sample is rotated around the axis perpendicular to the beam path, 3D chemical images can be obtained (Fig.…”

Detection of Irradiated Food and Evaluation of the Given Dose by Electron Spin Resonance, Thermoluminescence, and Gas Chromatographic/Mass Spectrometric Analysis

“…The third dimension z corresponds to the individual wavelength/wavenumber (Fig. 8.1) (Huck and Huck-Pezzei, 2014;Pallua et al, 2012).…”

Infrared Spectroscopic Technologies for the Quality Control of Herbal Medicines

“…Transmission analysis requires the sample to be partly transparent. Samples can be placed on substrates transparent to the wavelength range of the probing radiation (e.g., MIR) such as calcium fluoride (CaF 2 ), barium fluoride (BaF 2 ) or zinc selenide (ZnSe) [18].…”

“…Resulting distribution images can be easily interpreted with minimal computation effort and allow the observation of certain spatial features in the image. This simple method (known as univariate analysis) can only provide partial representation of the obtained imaging data and likely makes comparisons of several data sets impossible [18]. • Reduction of the complexity of IR imaging datasets with PCA, which transforms the original coordinate system defined by peak intensities to a coordinate system that better explains the variance in the dataset.…”

“…Clustering, also called unsupervised classification of FTIR microscopic data, can be performed such that spectra within the same cluster are as similar as possible and spectra in different clusters are as dissimilar as possible where different types of cells may be separated within biological tissue. There are many clustering techniques that have been applied for hyperspectral images, such as hierarchical clustering, KM clustering, and FCM clustering, which increase the information content of FTIR imaging data dramatically [18]. For detailed information about statistical classification, the interested reader is referred to the cited literature.…”