Inverse spatially‐offset Raman spectroscopy using optical fibers: An axicon lens‐free approach

Inverse spatially offset Raman spectroscopy (I‐SORS) seeks to interrogate deep inside a Raman‐active, layered, diffusely scattering sample. It makes a collimated laser beam incident onto the sample surface in the form of concentric illumination rings (of varying radii) from whose center the back‐scattered Raman signal is collected for detection. Since formation of illumination rings of different sizes requires an axicon to be moved along the axis of the collimated laser beam and axicons below a certain minimum size (~1 inch) are not readily available, this classical configuration incorporating an axicon cannot be used for designing a compact I‐SORS probe of narrower diameter. We report a novel scheme of implementing I‐SORS which overcomes this limitation by implementing ring illumination and point collection using two multi‐mode optical fibers. An important advantage of the proposed scheme is that unlike the previously reported inverse SORS configurations, it does not require physical movement of any of the optical components for generating spatial offsets needed for probing sub‐surface depths. Another advantage is its fiber‐optic configuration which is ideally suited for designing a compact and pencil‐sized I‐SORS probe, often desired in many practical situations for carrying out depth‐sensitive Raman measurements in situ from a layered turbid sample.      

Investigating the feasibility of spatially offset Raman spectroscopy for in‐vivo monitoring of bone healing in rat calvarial defect models

A wide range of biomaterials and tissue‐engineered scaffolds are being investigated to support and stimulate bone healing in animal models. Using phantoms and rat cadavers, we investigated the feasibility of using spatially offset Raman spectroscopy (SORS) to monitor changes in collagen concentration at levels similar to those expected to occur in vivo during bone regeneration (0‐0.84 g/cm³). A partial least squares (PLS) regression model was developed to quantify collagen concentration in plugs consisting of mixtures or collagen and hydroxyapatite (predictive power of ±0.16 g/cm³). The PLS model was then applied on SORS spectra acquired from rat cadavers after implanting the collagen: hydroxyapatite plugs in drilled skull defects. The PLS model successfully predicting the profile of collagen concentration, but with an increased predictive error of ±0.30 g/cm³. These results demonstrate the potential of SORS to quantify collagen concentrations, in the range relevant to those occurring during new bone formation.     

Depth‐resolved multimodal imaging: Wavelength modulated spatially offset Raman spectroscopy with optical coherence tomography

A major challenge in biophotonics is multimodal imaging to obtain both morphological and molecular information at depth. We demonstrate a hybrid approach integrating optical coherence tomography (OCT) with wavelength modulated spatially offset Raman spectroscopy (WM‐SORS). With depth colocalization obtained from the OCT, we can penetrate 1.2‐mm deep into strong scattering media (lard) to acquire up to a 14‐fold enhancement of a Raman signal from a hidden target (polystyrene) with a spatial offset. Our approach is capable of detecting both Raman and OCT signals for pharmaceutical particles embedded in turbid media and revealing the white matter at depth within a 0.6‐mm thick brain tissue layer. This depth resolved label‐free multimodal approach is a powerful route to analyze complex biomedical samples.      

Inverse SORS for detecting a low Raman‐active turbid sample placed inside a highly Raman‐active diffusely scattering matrix – A feasibility study

The broad range of applications of spatially‐offset Raman spectroscopy (SORS) were found to involve samples having only marginal differences in Raman cross‐sections between the surface and subsurface targets. We report the results of a feasibility study to evaluate the potential of the approach to identify the presence of a very low Raman‐active turbid sample placed inside a highly Raman‐active diffusely scattering matrix. Paraffin sandwiched tissue blocks prepared by embedding slices of chicken muscle tissue into solid paraffin blocks were employed as representative samples for the study. It was found that in contrast to the several millimetres of probing depth reported in the earlier applications, the Raman signatures of tissue were best recovered when it was located beneath the surface of the paraffin block at a depth of around a millimetre, beyond which the quality of recovery was increasingly poorer. However, the probing depth could be further increased by increasing the thickness of the embedded tissue sections. The results clearly suggest that though the probing depth achievable under the current condition is less than that found in previous applications, nevertheless it is sufficient for various other applications that would not require probing as deep as was required earlier.

     

Fourier transform infrared and Raman‐based biochemical profiling of different grades of pure foetal‐type hepatoblastoma

The biomolecular events resulting from the progression of hepatoblastoma remain to be elucidated. Fourier‐transform infrared (FTIR) and Raman spectroscopies are capable of noninvasively and accurately capturing the biochemical properties of biological tissue from its pathological status. Our aim was to probe critial biomolecular changes of liver accompanying the progression of pure foetal hepatoblastoma (PFH) by FTIR and Raman spectroscopies. Herein, biochemical alterations were both evident in the FTIR spectra (regions of 3100‐2800 cm^?1 and 1800‐900 cm^?1) and the Raman spectra (region of 1800‐400 cm^?1) among normal, borderline and malignant liver tissues. Compared with normal tissues, the ratios of protein‐to‐lipid, α‐helix‐to‐β‐sheet, RNA‐to‐DNA, CH3 methyl‐to‐CH2 methylene, glucose‐to‐phospholipids, and unsaturated‐to‐saturated lipids intensities were significantly higher in malignant tissues, while the ratios of RNA‐to‐Amide II, DNA‐to‐Amide II, glycogen‐to‐cholesterol and Amide I‐to‐Amide II intensities were remarkably lower. These biochemical alterations in the transition from normal to malignant have profound implications not only for cyto‐pathological classification but also for molecular understanding of PFH progression. The successive changes of the spectral characteristics have been shown to be consistent with the development of PFH, indicating that FTIR and Raman spectroscopies are excellent tools to interrogate the biochemical features of different grades of PFH.      

Single‐cell genomics based on Raman sorting reveals novel carotenoid‐containing bacteria in the Red Sea

Cell sorting coupled with single‐cell genomics is a powerful tool to circumvent cultivation of microorganisms and reveal microbial ‘dark matter’. Single‐cell Raman spectra (SCRSs) are label‐free biochemical ‘fingerprints’ of individual cells, which can link the sorted cells to their phenotypic information and ecological functions. We employed a novel Raman‐activated cell ejection (RACE) approach to sort single bacterial cells from a water sample in the Red Sea based on SCRS. Carotenoids are highly diverse pigments and play an important role in phototrophic bacteria, giving strong and distinctive Raman spectra. Here, we showed that individual carotenoid‐containing cells from a Red Sea sample were isolated based on the characteristic SCRS. RACE‐based single‐cell genomics revealed putative novel functional genes related to carotenoid and isoprenoid biosynthesis, as well as previously unknown phototrophic microorganisms including an unculturable Cyanobacteria spp. The potential of Raman sorting coupled to single‐cell genomics has been demonstrated.     

Biochemical,biophysical, and genetic changes of porcine trophoblast‐derived stem‐like cells during differentiation as evaluated using Raman microspectroscopy,Atomic force microscopy,and quantitative polymerase chain reaction

Porcine trophoblast‐derived stem‐like cells grown into serum medium start to differentiate and become senescent within 30 days. However, trophoblast‐derived cells, cultured in vitro in a defined and non‐serum medium, have the regenerative properties, such as indefinite passage and foreign DNA receptivity, similar to stem cells. To evaluate the biochemical, biophysical, and genetic changes of the terminal differentiation of trophoblast derived cells, Raman microspectroscopy, atomic force microscopy, and qPCR were applied. It was found that Raman spectral intensities of characteristic peaks, cell morphology, and Young's modulus can be used to distinguish differentiated and undifferentiated trophoblast cells. In addition, 17 cytoskeleton and extracellular matrix‐related genes were significantly impacted by medium type (non‐serum versus serum). Our findings suggest that Raman microspectroscopy and atomic force microscopy—both considered as label‐free, non‐invasive techniques—can be applied to distinguish differentiated trophoblast cells, and cellular biochemical information and biophysical properties can be indicative of cellular differences during cell differentiation. In addition, most of cytoskeleton‐related genes exhibit similar pattern to that of Young's modulus during trophoblast cell differentiation, indicating the potential connection between cytoskeleton‐related genes and cellular stiffness. genesis 53:749–761, 2015. © 2015 Wiley Periodicals, Inc.     

In situ non-invasive spectral discrimination between bone cell phenotypes used in tissue engineering

Raman micro-spectroscopy was used to discriminate between different types of bone cells commonly used in tissue engineering of bone, with the aim of developing a method of phenotypic identification and classification. Three types of bone cells were analysed: human primary osteoblasts (HOB), retroviral transfected human alveolar bone cells with SV40 large T antigen (SV40 AB), and osteoblast-like human osteosarcoma derived MG63 cell line. Unsupervised principal component analysis (PCA) and linear discriminant analysis (LDA) of the Raman spectra succeeded in discriminating the osteosarcoma derived MG63 cells from the non-tumour cells (HOB and SV40 AB). No significant differences were observed between the Raman spectra of the HOB and SV40 AB cells, confirming the biochemical similarities between the two cell types. Difference spectra between tumour and non-tumour cells suggested that the spectral discrimination is based on the fact that MG63 osteosarcoma derived cells are characterised by lower concentrations of nucleic acids and higher relative concentrations of proteins compared to the non-tumour bone cells. A supervised classification model (LDA) was built and showed high cross-validation sensitivity (100%) and specificity (95%) for discriminating the MG63 cells and the non-tumour cells, with 96% of the cells being correctly classified either as tumour or non-tumour derived cells. This study proves the feasibility of using Raman spectroscopy to identify in situ phenotypic differences in living cells.     

Raman spectroscopy of DNA packaging in individual human sperm cells distinguishes normal from abnormal cells

Healthy human males produce sperm cells of which about 25–40% have abnormal head shapes. Increases in the percentage of sperm exhibiting aberrant sperm head morphologies have been correlated with male infertility, and biochemical studies of pooled sperm have suggested that sperm with abnormal shape may contain DNA that has not been properly repackaged by protamine during spermatid development. We have used micro‐Raman spectroscopy to obtain Raman spectra from individual human sperm cells and examined how differences in the Raman spectra of sperm chromatin correlate with cell shape. We show that Raman spectra of individual sperm cells contain vibrational marker modes that can be used to assess the efficiency of DNA‐packaging for each cell. Raman spectra obtained from sperm cells with normal shape provide evidence that DNA in these sperm is very efficiently packaged. We find, however, that the relative protein content per cell and DNA packaging efficiencies are distributed over a relatively wide range for sperm cells with both normal and abnormal shape. These findings indicate that single cell Raman spectroscopy should be a valuable tool in assessing the quality of sperm cells for in‐vitro fertilization. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Evidence for a krill‐rich diet from non‐destructive analyses of penguin bone

Diet strongly influences the chemistry of vertebrate soft and hard tissues. Bird bone and eggshell mineral preserve reliable records of prey consumption, even beyond the life of the predator, and analyses of hard tissues have usefully reconstructed avian diet. Here, we assess the feasibility of a non‐destructive method for distinguishing krill‐poor from krill‐rich diets in penguins. Krill (Euphausiaceae) are fluoride‐rich, and penguins that consume krill produce fluoride‐rich bones. The chemistry of bone mineral may be elucidated using Raman spectroscopy without recourse to specialised sample preparation. Published data from the diet of six penguin species were compared to a fluoride‐informative spectral band (phosphate symmetric stretch, ν₁‐PO₄^3?) in the Raman spectra of penguin humeri. Penguins that consume abundant krill (e.g. Adélie and emperor) have ν₁‐PO₄^3?‐band positions higher than 963 cm^?1, whereas penguins that primarily eat teleost fish or cephalopods (e.g. Fiordland crested, Humboldt, little blue and yellow‐eyed) have ν₁‐PO₄^3?‐band positions lower than 963 cm^?1. A krill‐rich diet can therefore be determined from the Raman spectra of penguin bones. Raman spectroscopy could be a useful supplement to existing diet analysis techniques.     

Characterizing biochemical and morphological variations of clinically relevant anatomical locations of oral tissue in vivo with hybrid Raman spectroscopy and optical coherence tomography technique

This study aims to characterize biochemical and morphological variations of the clinically relevant anatomical locations of in vivo oral tissue (ie, alveolar process, lateral tongue and floor of the mouth) by using hybrid Raman spectroscopy (RS) and optical coherence tomography (OCT) technique. A total of 1049 in vivo fingerprint (FP: 800‐1800 cm^?1) and high wavenumber (HW: 2800‐3600 cm^?1) Raman spectra were acquired from different oral tissue (alveolar process = 331, lateral tongue = 339 and floor of mouth = 379) of 26 normal subjects in the oral cavity under the OCT imaging guidance. The total Raman dataset were split into 2 parts: 80% for training and 20% for testing. Tissue optical attenuation coefficients of alveolar process, lateral tongue and the floor of the mouth were derived from OCT images, revealing the inter‐anatomical morphological differences; while RS uncovers subtle FP/HW Raman spectral differences among different oral tissues that can be attributed to the differences in inter‐ and intra‐cellular proteins, lipids, DNA and water structures and conformations, enlightening biochemical variability of different oral tissues at the molecular level. Partial least squares‐discriminant analysis implemented on the training dataset show that the integrated tissue optical attenuation coefficients and FP/HW Raman spectra provide diagnostic sensitivities of 99.6%, 82.3%, 50.2%, and specificities of 97.0%, 75.1%, 92.1%, respectively, which are superior to using either RS (sensitivities of 90.2%, 77.5%, 48.8%, and specificities of 95.8%, 72.1%, 88.8%) or optical attenuation coefficients derived from OCT (sensitivities of 75.0%, 78.2%, 47.2%, and specificities of 96.2%, 67.7%, 85.0%) for the differentiation among alveolar process, lateral tongue and the floor of the mouth. Furthermore, the diagnostic algorithms applied to the independent testing dataset based on hybrid RS‐OCT technique gives predictive diagnostic sensitivities of 100%, 76.5%, 51.3%, and specificities of 95.1%, 77.6%, 89.6%, respectively, for the classifications among alveolar process, lateral tongue and the floor of the mouth, which performs much better than either RS or optical attenuation coefficient derived from OCT imaging. This work suggests that inter‐anatomical morphological and biochemical variability are significant which should be considered as an important parameter in the interpretation and rendering of hybrid RS‐OCT technique for oral tissue diagnosis and characterization.      

Superpixel Raman spectroscopy for rapid skin cancer margin assessment

Spontaneous Raman micro‐spectroscopy has been demonstrated great potential in delineating tumor margins; however, it is limited by slow acquisition speed. We describe a superpixel acquisition approach that can expedite acquisition between ~×100 and ×10 000, as compared to point‐by‐point scanning by trading off spatial resolution. We present the first demonstration of superpixel acquisition on rapid discrimination of basal cell carcinoma tumor from eight patients undergoing Mohs micrographic surgery. Results have been demonstrated high discriminant power for tumor vs normal skin based on the biochemical differences between nucleus, collagen, keratin and ceramide. We further perform raster‐scanned superpixel Raman imaging on positive and negative margin samples. Our results indicate superpixel acquisition can facilitate the use of Raman microspectroscopy as a rapid and specific tool for tumor margin assessment.     

Bone resorption and bone remodelling in juvenile carp, Cyprinus carpio L.

The present study considers the important role of bone resorption for bone growth in general, and aims to clarify if and how bone resorption contributes to the skeletal development of carp, Cyprinus carpio L., a teleost species with ‘normal’ osteocyte‐containing (cellular) bone. To ensure the identification of osteoclasts and sites of bone resorption independently from the morphology of the bony cells, bones were studied by histological procedures, and by demonstration of the enzymes which serve as osteoclast markers, viz. tartrate resistant acid phosphatase (TRAP), ATPase and a vacuolar proton pump. Two types of bone‐resorbing cells were observed in juvenile carp: (1) multinucleated giant cells displaying morphological and biochemical attributes which are known from mammalian osteoclasts; and (b) flat cells which lack a visible ruffled border and for which identification requires the performance of enzyme histochemical procedures. Bone resorption performed by osteoclasts mainly occurs at endosteal bone surfaces. To a lesser extent, bone resorption also takes place at periosteal bone surfaces, but without an apparent connection to bone growth. The latter observation, and the occurrence of bone remodelling, suggest that the endoskeleton of juvenile carp might be involved in mineral metabolism. Morphological differences and biochemical similarities to bone resorption in teleosts with acellular bone are discussed.     

Cover Picture: J. Biophotonics 2/2013

Employing Raman microspectroscopy, biochemical fingerprint patterns of human and porcine cartilage were obtained in this study. Using this non‐contact screening tool, it was also shown that prolonged in vitro culture can lead to phenotypic changes in chondrocytes. Picture: M. Pudlas et al., pp. 206–212 in this issue)     

Cell classification with low‐resolution Raman spectroscopy (LRRS)

The identification of individual eukaryotic and prokaryotic cells is the backbone of clinical pathology and provides crucial information about the genesis and progression of a disease. While most commonly fluorescent‐label based methods are applied, label‐free methods, such as Raman spectroscopy, are elegant alternatives. A major disadvantage of Raman spectroscopy is the low signal yield resulting in long acquisition times, making it impractical for high‐throughput clinical analysis. As a rule, Raman‐based cell identification relies on high‐resolution Raman spectra. This comes at a cost of detected Raman photons. In this letter we show that while the proper biochemical characterization of cells requires high‐resolution Raman spectra, the proper classification of cells does not. By varying the slit‐width between 50 µm and 500 µm it is possible to show that detected Raman signal from eukaryotic cells increased up to seven‐fold. Raman‐based cell classification was performed on three cancer cell lines: Jurkat, MiaPaca2, and Capan1, at three different resolutions 8 cm^–1, 24 cm^–1, and 48 cm^–1. Moreover, we have simulated the resolution decrease due to low‐diffraction gratings by binning neighboring pixels together. In both cases the cells were well classifiable using support vectors machine (SVM).

For anyone working in the field of Raman spectroscopy this picture of Sir C.V. Raman is recognizable, even with reduced spatial resolution. Raman spectra of eukaryotic cells can also be recognized even with six fold reduced spectral resolution.     

Raman detection and identification of normal and leukemic hematopoietic cells

The analysis of leukocytes of peripheral blood is a crucial step in hematologic exams commonly used for disease diagnosis and, typically, requires molecular labelling. In addition, only a detailed, laborious phenotypic analysis allows identifying the presence and stage of specific pathologies such as leukemia. Most of the biochemical information is lost in the routine blood tests. In the present study, we tackle 2 important issues of label‐free biochemical identification and classification of leukocytes using Raman spectroscopy (RS). First, we demonstrate that leukocyte subpopulations of lymphocytes (B, T and NK cells), monocytes and granulocytes can be identified by the unsupervised statistical approach of principal component analysis and classified by linear discriminant analysis with approximately 99% of accuracy. Second, we apply the same procedure to identify and discriminate normal B cells and transformed MN60 lymphocyte leukemic cell lines. In addition, we demonstrate that RS can be efficiently used for monitoring the cell response to low‐dose chemotherapy treatment, experimentally eliciting the sensitivity to a dose‐dependent cell response, which is of fundamental importance to determine the efficacy of any treatment. These results largely expand established Raman‐based research protocols for label‐free analysis of white blood cells, leukemic cells and chemotherapy treatment follow‐up.      

Cover Picture: J. Biophotonics 1/2012

Raman spectroscopy has been used in this study to obtain biochemical fingerprint patterns of collagen fibers in native aortic heart valve tissues. Using this non‐contact screening tool, we were able to monitor the increasing damage of collagen fibers due to enzymatic treatment or cryopreservation. (Picture: M. Votteler et al., pp. 47–56 in this issue)     

Is photobleaching necessary for Raman imaging of bone tissue using a green laser?

Raman microspectroscopy is widely used for musculoskeletal tissues studies. But the fluorescence background obscures prominent Raman bands of mineral and matrix components of bone tissue. A 532-nm laser irradiation has been used efficiently to remove the fluorescence background from Raman spectra of cortical bone. Photochemical bleaching reduces over 80% of the fluorescence background after 2 h and is found to be nondestructive within 40 min. The use of electron multiplying couple charge detector (EMCCD) enables to acquire Raman spectra of bone tissues within 1-5 s range and to obtain Raman images less than in 10 min.     

Is photobleaching necessary for Raman imaging of bone tissue using a green laser?

Raman microspectroscopy is widely used for musculoskeletal tissues studies. But the fluorescence background obscures prominent Raman bands of mineral and matrix components of bone tissue. A 532-nm laser irradiation has been used efficiently to remove the fluorescence background from Raman spectra of cortical bone. Photochemical bleaching reduces over 80% of the fluorescence background after 2 h and is found to be nondestructive within 40 min. The use of electron multiplying couple charge detector (EMCCD) enables to acquire Raman spectra of bone tissues within 1-5 s range and to obtain Raman images less than in 10 min.