Raman spectroscopy as a sensitive probe of soft tissue composition – Imaging of cross-sections of various organs vs. single spectra of tissue homogenates

Dybaś, Jakub; Marzec, Katarzyna M.; Pacia, Marta Z.; Kochan, Kamila; Czamara, Krzysztof; Chrabąszcz, Karolina; Staniszewska-Slezak, Emilia; Malek, Kamilla; Barańska, Małgorzata; Kaczor, Agnieszka

doi:10.1016/j.trac.2016.08.014

Cited by 40 publications

(18 citation statements)

References 76 publications

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“…For Raman (Fig. 2 d) we chose to illustrate the band at 2850 cm −1 Raman shift, which is specific for lipids [ 29 ] on one specific nerve tract in the cerebellum. The possible merger of the two molecular images (Fig.…”

Section: Resultsmentioning

confidence: 99%

“…2c), we showed the spatial distribution of ion m/z 850 (putatively annotated as a glycerophospholipid-phosphatidylcholine (38:3), experimental m/z (Fig. 2d) we chose to illustrate the band at 2850 cm −1 Raman shift, which is specific for lipids [29] on one specific nerve tract in the cerebellum. The possible merger of the two molecular images ( Fig.…”

Section: Methodsmentioning

confidence: 99%

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Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

et al. 2020

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Background Multimodal imaging that combines mass spectrometry imaging (MSI) with Raman imaging is a rapidly developing multidisciplinary analytical method used by a growing number of research groups. Computational tools that can visualize and aid the analysis of datasets by both techniques are in demand. Results Raman2imzML was developed as an open-source converter that transforms Raman imaging data into imzML, a standardized common data format created and adopted by the mass spectrometry community. We successfully converted Raman datasets to imzML and visualized Raman images using open-source software designed for MSI applications. Conclusion Raman2imzML enables both MSI and Raman images to be visualized using the same file format and the same software for a straightforward exploratory imaging analysis.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

et al. 2020

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“…The collected Raman spectra of PVAT exhibit homogeneity and an increased signal to noise ratio observed for the spectrum of the thoracic aorta may be due to a quite high content of hemoproteins in its mitochondria-rich ‘BAT-alike’ structure. The presence of hemoproteins is revealed by characteristic bands at 1585, 1131, and 751 cm −1 and the increased fluorescence background (532 nm excitation was used) [ 53 , 54 ]. As it was previously reported [ 45 ], the averaged Raman spectra of the adipose tissue reflect the typical profile of unsaturated triacylglycerols [ 28 ] that are main components in the adipose tissue ( Figure 4 A).…”

Section: Resultsmentioning

confidence: 99%

Distinct Chemical Changes in Abdominal but Not in Thoracic Aorta upon Atherosclerosis Studied Using Fiber Optic Raman Spectroscopy

Czamara

Majka

Sternak

et al. 2020

IJMS

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Fiber optic Raman spectroscopy and Raman microscopy were used to investigate alterations in the aorta wall and the surrounding perivascular adipose tissue (PVAT) in the murine model of atherosclerosis (Apoe-/-/Ldlr-/- mice). Both abdominal and thoracic parts of the aorta were studied to account for the heterogenic chemical composition of aorta and its localization-dependent response in progression of atherosclerosis. The average Raman spectra obtained for both parts of aorta cross sections revealed that the chemical composition of intima-media layers along aorta remains relatively homogeneous while the lipid content in the adventitia layer markedly increases with decreasing distance to PVAT. Moreover, our results demonstrate that the increase of the lipid to protein ratio in the aorta wall correlates directly with the increased unsaturation level of lipids in PVAT and these changes occur only in the abdominal, but not in thoracic, aorta. In summary, distinct pathophysiological response in the aortic vascular wall could be uncovered by fiber optic Raman spectroscopy based on simple parameters detecting chemical contents of lipids in PVAT.

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“…1, the frozen cross–sections of the retrieved thrombi were firstly examined with free–label FTIR imaging which allowed us to study the distribution of various clot features with the spatial resolution of around 5.5 µm 14 . Further on, the free–label RS imaging technique was applied for the chosen regions of interest (ROI) to detect biochemical markers with the spatial resolution of around 0.4 µm 11,12 . At the end topographies of chosen ROIs were obtained with the use of AFM.…”

Section: Introductionmentioning

confidence: 99%

FTIR, Raman and AFM characterization of the clinically valid biochemical parameters of the thrombi in acute ischemic stroke

Blat

Dybaś

Chrabąszcz

et al. 2019

Sci Rep

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The significance and utility of innovative imaging techniques in arterial clot analysis, which enable far more detailed and automated analysis compared to standard methods, are presented. The examination of two types of human thrombi is shown, representing the main ischemic stroke etiologies: fibrin–predominant clot of large vessel origin and red blood cells–rich clot of cardioembolic origin. The synergy effect of Fourier–transform infrared spectroscopy (FTIR), Raman spectroscopy (RS) and atomic force microscopy (AFM) techniques supported by chemometrics in comparison with reference histological staining was presented. The main advantage of such approach refers to free–label and non–destructive quantitative imaging of clinically valid, biochemical parameters in whole sample (FTIR–low resolution) and selected regions (RS–ultra–high resolution). We may include here analysis of lipid content, its distribution and total degree of unsaturation as well as analysis of protein content (mainly fibrin and hemoproteins). The AFM studies enhanced the vibrational data, showed clearly shape and thickness of clot features as well as visualized the fibrin framework. The extraordinary sensitivity of FTIR and RS imaging toward detection and discrimination of clinically valid parameters in clot confirms its applicability in assessment of thrombi origin.

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Raman spectroscopy as a sensitive probe of soft tissue composition – Imaging of cross-sections of various organs vs. single spectra of tissue homogenates

Cited by 40 publications

References 76 publications

Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

Raman2imzML converts Raman imaging data into the standard mass spectrometry imaging format

Distinct Chemical Changes in Abdominal but Not in Thoracic Aorta upon Atherosclerosis Studied Using Fiber Optic Raman Spectroscopy

FTIR, Raman and AFM characterization of the clinically valid biochemical parameters of the thrombi in acute ischemic stroke

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