Multimodal vibrational imaging of cells

Pérez-Guaita, David; Kochan, Kamila; Martin, Miguela; Andrew, Dean; Heraud, Philip; Richards, James L.; Wood, Bayden Robert

doi:10.1016/j.vibspec.2016.07.017

Cited by 45 publications

(43 citation statements)

References 43 publications

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“…Perez-Guaita et al 78 FT-IR and Raman imaging Biomedical (Plasmodium, Micrasterias) SHY Bergholt et al 80 Raman and DESI-MS imaging Biomedical (brain tissue) SHY molecular species always point into the same direction, see peaks at 734.5 (PC 32:0 þ H þ ), 756.6 (PC 32:0 þ Na þ ), and 772.5 (PC 32:0 þ K þ ). Both findings, the character of the co-variations of the different molecular adducts, as well as the observed difference in spatial distribution patterns for saturated and unsaturated PC, illustrate the application possibilities of the proposed 2D-COS-based analysis method: 2D-COS of spatially resolved data is particularly useful when investigating complex structural and compositional information present in hyperspectral data sets of various origins.…”

Section: D-cos Synchronousmentioning

confidence: 99%

Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra

2019

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The last two decades have seen tremendous progress in the application of two-dimensional correlation spectroscopy (2D-COS) as a versatile analysis method for data series obtained using a large variety of different spectroscopic modalities, including infrared (IR) and Raman spectroscopy. The analysis technique is applicable to a series of spectra recorded under the influence of an external sample perturbation. Two-dimensional COS analysis is not only helpful to decipher correlations, which may exist between distinct spectral features, but can also be utilized to obtain the sequence of individual spectral changes. The focus of this review article is on the application of 2D-COS for analyzing spatially resolved data with special emphasis on hyperspectral imaging (HSI) study. In this review, we briefly introduce the fundamentals of the generalized 2D-COS analysis approach, discuss specific points of 2D-COS application to spatially resolved spectra and demonstrate essential aspects of data pre-processing for 2D-COS analysis of spatially resolved spectra. Based on illustrative examples, we show that 2D-COS is useful for spectral band assignment in HSI applications and demonstrate its utility for detecting subtle correlations between spectra features, or between features from different imaging modalities in the case of heterospectral (multimodal) HSI. Furthermore, a short overview on existing 2D-COS software tools is provided. It is hoped that this article represents not only a useful guideline for 2D-COS analyses of spatially resolved hyperspectral data but supports also further dissemination of the 2D-COS analysis method as a whole.

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Section: D-cos Synchronousmentioning

confidence: 99%

Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra

2019

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“…and limitations, the most adequate method is usually selected to the appropriate type of the sample. Nevertheless, a successful approach providing the co‐registration of IR and Raman images can be developed with the same pixel size over the same sample area . Recent studies have shown similar comparison for AFM‐IR and Raman imaging.…”

Section: Introductionmentioning

confidence: 99%

Comparison between high definition FT‐IR, Raman and AFM‐IR for subcellular chemical imaging of cholesteryl esters in prostate cancer cells

Roman

Wróbel

Paluszkiewicz

et al. 2020

Journal of Biophotonics

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The family of vibrational spectroscopic imaging techniques grows every few years and there is a need to compare and contrast new modalities with the better understood ones, especially in the case of demanding biological samples. Three vibrational spectroscopy techniques (high definition Fouriertransform infrared [FT-IR], Raman and atomic force microscopy infrared [AFM-IR]) were applied for subcellular chemical imaging of cholesteryl esters in PC-3 prostate cancer cells. The techniques were compared and contrasted in terms of image quality, spectral pattern and chemical information. All tested techniques were found to be useful in chemical imaging of cholesterol derivatives in cancer cells. The results obtained from FT-IR and Raman imaging showed to be comparable, whereas those achieved from AFM-IR study exhibited higher spectral heterogeneity. It confirms AFM-IR method as a powerful tool in local chemical imaging of cells at the nanoscale level. Furthermore, due to polarization effect, ppolarized AFM-IR spectra showed strong enhancement of lipid bands when compared to FT-IR.atomic force microscopy, cholesteryl esters, infrared, prostate cancer, Raman, subcellular imaging

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“…Its application to investigate biomedical questions took place more than 50 years ago, even if, owing to the lack of adequate technology, the potential of this technique was completely exploited only many years later [8,70]. Over the last 20 years, the coupling of IR spectrometers with visible microscopes has led to the successful use of this technique to perform imaging analysis, in which biochemical and spatial information of non-homogeneous biological samples, such as tissues and cells, are combined [23,36,41,46,49,55,72]. Fourier Transform Infrared Microspectroscopy (FTIRM) requires thin sections of sample (monolayer cell cultures or 5-10 μm thick tissues) on which IR maps can be acquired on previously selected areas.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, in recent years, a new methodology has been developed to analyze cells maintained in physiological solution [65]. The extensive literature on the processing of acquired spectral data will not be reviewed, unless relevant to the aim indicated above; to deepen this argument, readers refer to the Refs [1,49].…”

Section: Introductionmentioning

confidence: 99%

Infrared spectroscopy as a new tool for studying single living cells: Is there a niche?

Sabbatini

Conti

Orilisi

et al. 2017

BSI

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Abstract. FTIR spectroscopy is an analytical technique widely applied for studying the vibrational fingerprint of organic compounds. In recent years, it has been applied to many biomedical fields because of its potential to detect the composition and molecular structure of various biological materials without the need of probe molecules. The coupling of IR spectrometers with visible microscopes has led to perform the imaging analysis of non-homogeneous samples, such as tissues and cells, in which the biochemical and spatial information are close related. In this review, we report the most significant applications of FTIR to the study of cells in different conditions (fixed, dried and living) with the aim to monitor their biochemical modifications, either induced or naturally occurring.

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Multimodal vibrational imaging of cells

Cited by 45 publications

References 43 publications

Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra

Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra

Comparison between high definition FT‐IR, Raman and AFM‐IR for subcellular chemical imaging of cholesteryl esters in prostate cancer cells

Infrared spectroscopy as a new tool for studying single living cells: Is there a niche?

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