Infrared Spectroscopy of Cells and Tissues: Shining Light onto a Novel Subject

Diem, Max; Boydston‐White, Susie; Chiriboga, Luis

doi:10.1366/0003702991946712

Cited by 307 publications

(237 citation statements)

References 9 publications

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“…The difference spectrum shown in trace 8 shows the effect of RNase digestion in the nucleus. The difference spectrum is that of pure RNA (Diem et al, 1999), with the distinct structure of the 1080 cm −1 peak and an intensity ratio of nearly 2:1 for the 1080/1235 cm −1 vibrations (see Fig. 2F, bands marked by asterisks).…”

Section: B Ir Results Of Individual Cellsmentioning

confidence: 97%

Chapter 10 Infrared and Raman Microscopy in Cell Biology

Matthäus

Bird

Miljković

et al. 2008

Methods in Cell Biology

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This chapter presents novel microscopic methods to monitor cell biological processes of live or fixed cells without the use of any dye, stains, or other contrast agent. These methods are based on spectral techniques that detect inherent spectroscopic properties of biochemical constituents of cells, or parts thereof. Two different modalities have been developed for this task. One of them is infrared micro-spectroscopy, in which an average snapshot of a cell's biochemical composition is collected at a spatial resolution of typically 25 mm. This technique, which is extremely sensitive and can collect such a snapshot in fractions of a second, is particularly suited for studying gross biochemical changes. The other technique, Raman microscopy (also known as Raman microspectroscopy), is ideally suited to study variations of cellular composition on the scale of subcellular organelles, since its spatial resolution is as good as that of fluorescence microscopy. Both techniques exhibit the fingerprint sensitivity of vibrational spectroscopy toward biochemical composition, and can be used to follow a variety of cellular processes.

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Section: B Ir Results Of Individual Cellsmentioning

confidence: 97%

Chapter 10 Infrared and Raman Microscopy in Cell Biology

Matthäus

Bird

Miljković

et al. 2008

Methods in Cell Biology

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163

119

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“…This band is due to glycogen, but glycoproteins in mucous also contribute at this wave number. The spectra of pure glycogen and glycoproteins were reported in the literature previously [25,33,47,48]. In the 1000-to 1200-cm −1 region, the glycogen spectrum exhibits three prominent peaks at ca.…”

Section: Normal Cervical Transformation Zonementioning

confidence: 89%

“…Several comprehensive books and articles outline the field [22][23][24][25]. One area that has received considerable attention was the application of the FTIR technique to the diagnosis of cervical neoplasia [26][27][28][29][30][31][32][33][34][35].…”

Section: The Infrared Alternativementioning

confidence: 99%

“…Upon further study, it became apparent that the spectral changes observed between normal and diseased samples might not be related to the presence of dysplastic cells per se, but rather to non-specific factors such as localized inflammation effects [31,36], the cell type being measured [32], and the non-specific depletion of cytoplasmic glycogen. These studies demonstrated that a detailed understanding of the spectral features of the cell types, and spectral variations resulting from differentiation, maturation, and cell cycle stages, is a pre-requisite before interpreting the spectral differences between normal and dysplastic cytological diagnosed samples [25]. Other factors that needed to be addressed were the effects of potential confounding variables such as mucin, erythrocytes, leukocytes, and other debris that can obscure diagnostic regions of the spectra [31,[36][37][38].…”

Section: The Infrared Alternativementioning

confidence: 99%

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Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium

Wood

Chiriboga

Yee

et al. 2004

Gynecologic Oncology

209

164

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Objective-This paper is aimed at establishing infrared spectral patterns for the different tissue types found in, and for different stages of disease of squamous cervical epithelium. Methods for the unsupervised distinction of these tissue types are discussed.Methods-Fourier transform infrared (FTIR) maps of the squamous and glandular cervical epithelium, and of the cervical transformation zone, were obtained and analyzed by multivariate unsupervised hierarchical cluster methods. The resulting clusters are correlated to the corresponding stained histopathological features in the tissue sections.Results-Multivariate statistical analysis of FTIR spectra collected for tissue sections permit an unsupervised method of distinguishing tissue types, and of differentiating between normal and diseased tissue. By analyzing different spectral windows and comparing the results with histology, we found the amide I and II region (1740-1470 cm −1 ) to be very important in correlating anatomical and histopathological features in tissue to spectral clusters. Since an unsupervised, rather than a diagnostic, algorithm was used in these efforts, no statistical analysis of false-positive/false-negative results is reported at this time.Conclusions-The combination of FTIR micro-spectroscopy and multivariate spectral processing provides important insights into the fundamental spectral signatures of individual cells and consequently shows potential as a diagnostic tool for cervical cancer.

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“…During the last 15 years, methods have been developed that can be viewed as molecular pathology methods that depend on sampling the entire genome, proteome and metabolome of cells and tissues, rather than probing for the presence of selected markers [11,12]. These methods rely on the detection of the inherent spectral signatures of the biochemical components in a pixel of tissue.…”

Section: Introductionmentioning

confidence: 99%

Molecular pathology via IR and Raman spectral imaging

Diem¹,

Mazur²,

Lenau³

et al. 2013

Journal of Biophotonics

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Journal of BIOPHOTONICSDuring the last 15 years, vibrational spectroscopic methods have been developed that can be viewed as molecular pathology methods that depend on sampling the entire genome, proteome and metabolome of cells and tissues, rather than probing for the presence of selected markers. First, this review introduces the background and fundamentals of the spectroscopies underlying the new methodologies, namely infrared and Raman spectroscopy. Then, results are presented in the context of spectral histopathology of tissues for detection of metastases in lymph nodes, squamous cell carcinoma, adenocarcinomas, brain tumors and brain metastases. Results from spectral cytopathology of cells are discussed for screening of oral and cervical mucosa, and circulating tumor cells. It is concluded that infrared and Raman spectroscopy can complement histopathology and reveal information that is available in classical methods only by costly and time-consuming steps such as immunohistochemistry, polymerase chain reaction or gene arrays. Due to the inherent sensitivity toward changes in the bio-molecular composition of different cell and tissue types, vibrational spectroscopy can even provide information that is in some cases superior to that of any one of the conventional techniques.Schematic of spectral histopathology (SHP) process: diagnostic algorithm is developed by spectral data of well documented specimens and subsequently applied to unknown dataset.

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Infrared Spectroscopy of Cells and Tissues: Shining Light onto a Novel Subject

Cited by 307 publications

References 9 publications

Chapter 10 Infrared and Raman Microscopy in Cell Biology

Chapter 10 Infrared and Raman Microscopy in Cell Biology

Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium

Molecular pathology via IR and Raman spectral imaging

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