New methodology to process shifted excitation Raman difference spectroscopy data: a case study of pollen classification.

Shifted excitation Raman difference spectroscopy (SERDS) is a background correction method for Raman spectroscopy. Here, the difference spectra were directly used as input for SERDS-based classification after an optimization procedure to correct for photobleaching of the autofluorescence. Further processing included a principal component analysis to compensate for the reduced signal to noise ratio of the difference spectra and subsequent classification by linear discriminant analysis. As a case study 6,028 Raman spectra of single pollen originating from plants of eight different genera and four different growth habits were automatically recorded at excitation wavelengths 784 and 786 nm using a high-throughput screening Raman system. Different pollen were distinguished according to their growth habit, i.e. tree versus non-tree with an accuracy of 95.9%. Furthermore, all pollen were separated according to their genus, providing also insight into similarities based on their families. Classification results were compared using spectra reconstructed from the differences and raw spectra after state-of-art baseline correction as input. Similar sensitivities, specificities, accuracies and precisions were found for all spectra with moderately background. Advantages of SERDS are expected in scenarios where Raman spectra are affected by variations due to detector etaloning, ambient light, and high background.

Recognition of tumor cells by immuno-SERS-markers in a microfluidic chip at continuous flow.

SERS active nanoparticles were labeled with a reporter molecule and conjugated with anti-EpCAM antibodies. These immuno SERS markers were mixed with leukocytes, MCF-7 breast cancer cells and polystyrene beads, and the mixture was injected into a microfluidic quartz chip. Raman spectra were acquired at 785 nm excitation with 25 milliseconds exposure time in a continuous flow regime. Spectral unmixing by N-FINDR identified spectral signatures of SERS-labelled cells and polystyrene beads. This approach demonstrated rapid and reproducible SERS-assisted cell detection. Strategies are discussed to further increase the throughput for cell sorting.

Developments in spontaneous and coherent Raman scattering microscopic imaging for biomedical applications.

First, the potential role of Raman-based techniques in biomedicine is introduced. Second, an overview about the instrumentation for spontaneous and coherent Raman scattering microscopic imaging is given with a focus of recent developments. Third, imaging strategies are summarized including sequential registration with laser scanning microscopes, line imaging and global or wide-field imaging. Finally, examples of biomedical applications are presented in the context of single cells, laser tweezers, tissue sections, biopsies and whole animals.

A trial-by-trial analysis reveals more intense physical activity is associated with better cognitive control performance in attention-deficit/hyperactivity disorder.

Hyperactivity is a key symptom and the most observable manifestation of attention-deficit/hyperactivity disorder (ADHD). The over-activity associated with ADHD can cause specific challenges in academic settings, extracurricular activities and social relationships. Cognitive control challenges are also well established in ADHD. The current study included 44 children between the ages of 10 and 17 diagnosed with ADHD or who were typically developing (TD), all of whom had no psychiatric co-morbidity or significant learning disorders. Participants wore an actometer on their ankle while performing a flanker paradigm in order to objectively measure their rates of activity in association with cognitive control. Analyses assessed the relationship between frequency and intensity of activity to task accuracy on a trial-by-trial basis. A significant interaction effect between group and performance revealed that more intense movement was associated with better performance in the ADHD group but not in the TD group. The ADHD group demonstrated more intense activity than the TD group during correct (but not error) trials. Within-group, children with ADHD generated higher intensity movements in their correct trials compared to their error trials, whereas the TD group did not demonstrate any within-group differences. These findings suggest that excessive motoric activity associated with clinically significant ADHD symptoms may reflect compensatory efforts to modulate attention and alertness. Future research should systematically explore the relationship between motion in ADHD and how it might be used to improve cognitive performance.

Combining multiset resolution and segmentation for hyperspectral image analysis of biological tissues.

Hyperspectral images can provide useful biochemical information about tissue samples. Often, Fourier transform infrared (FTIR) images have been used to distinguish different tissue elements and changes caused by pathological causes. The spectral variation between tissue types and pathological states is very small and multivariate analysis methods are required to describe adequately these subtle changes. In this work, a strategy combining multivariate curve resolution-alternating least squares (MCR-ALS), a resolution (unmixing) method, which recovers distribution maps and pure spectra of image constituents, and K-means clustering, a segmentation method, which identifies groups of similar pixels in an image, is used to provide efficient information on tissue samples. First, multiset MCR-ALS analysis is performed on the set of images related to a particular pathology status to provide basic spectral signatures and distribution maps of the biological contributions needed to describe the tissues. Later on, multiset segmentation analysis is applied to the obtained MCR scores (concentration profiles), used as compressed initial information for segmentation purposes. The multiset idea is transferred to perform image segmentation of different tissue samples. Doing so, a difference can be made between clusters associated with relevant biological parts common to all images, linked to general trends of the type of samples analyzed, and sample-specific clusters, that reflect the natural biological sample-to-sample variability. The last step consists of performing separate multiset MCR-ALS analyses on the pixels of each of the relevant segmentation clusters for the pathology studied to obtain a finer description of the related tissue parts. The potential of the strategy combining multiset resolution on complete images, multiset segmentation and multiset local resolution analysis will be shown on a study focused on FTIR images of tissue sections recorded on inflamed and non-inflamed palatine tonsils.

Aqueous black colloids of reticular nanostructured gold.

Since ancient times, noble gold has continuously contributed to several aspects of life from medicine to electronics. It perpetually reveals its new features. We report the finding of a unique form of gold, reticular nanostructured gold (RNG), as an aqueous black colloid, for which we present a one-step synthesis. The reticules consist of gold crystals that interconnect to form compact strands. RNG exhibits high conductivity and low reflection, and these features, coupled with the high specific surface area of the material, could prove valuable for applications in electronics and catalysis. Due to high absorption throughout the visible and infrared domain, RNG has the potential to be applied in the construction of sensitive solar cells or as a substrate for Raman spectroscopy.

Classification and prediction of HCC tissues by Raman imaging with identification of fatty acids as potential lipid biomarkers.

PURPOSE: Patients with hepatocellular carcinoma (HCC) can only be treated curatively at early stages and then have a favorable prognosis of this often fatal disease. For this reason, an early detection and diagnostic confirmation are crucial. Raman imaging spectroscopy is a promising technology for high-resolution visualization of the spatial distribution of molecular composition in tissue sections. The aim of this study was to investigate molecular information of liver tissue by Raman imaging for classification and diagnostic prediction. METHODS: Unstained cryosections of human hepatic tissues (23 patients) were measured by Raman spectroscope in the regions of HCC (n = 12) and fibrosis (n = 17). The acquired data set was used to generate a random forest classification model with 101 iterations of sevenfold cross-validation. The models obtained during cross-validation were also used to predict regions of tumor margin (n = 8) aside from independent testing. RESULTS: Raman spectra differed between malignant and non-malignant tissue regions. Based on these spectral data, a random forest classification model calculated a prediction accuracy of 86 % (76 % sensitivity and 93 % specificity). The ten most important variables were identified at 2895, 2856, 1439, 1298, 1080, 1063, 1023, 937, 920, and 719 cm(-1). CONCLUSIONS: In this study, Raman imaging spectroscopy was applied successfully for liver tissue to differentiate, classify, and predict with high accuracy malignant and non-malignant tissue regions. Furthermore, the most important differences were identified as the Raman signature of fatty acids. The demonstrated results highlight the enormous potential which vibrational spectroscopy techniques have for the future diagnostics and prognosis estimation of HCC.

Discrimination and classification of liver cancer cells and proliferation states by Raman spectroscopic imaging.

Discrimination of nodular lesions in cirrhotic liver is a challenge in the histopathologic diagnostics. For this reason, there is an urgent need for new detection methods to improve the accuracy of the diagnosis of liver cancer. Raman imaging allows to determine the spatial distribution of a variety of molecules in cells or tissue label-free and to correlate this molecular information with the morphological structures at the same sample location. This study reports investigations of two liver cancer cell lines, - HepG2 and SK-Hep1, - as well as HepG2 cells in different cellular growth phases using Raman micro-spectroscopic imaging. Spectral data of all cells were recorded as a color-coded image and subsequentially analyzed by hierarchical cluster and principal component analysis. A support vector machine-based classification algorithm reliably predicts previously unknown cancer cells and cell cycle phases. By including selectively the Raman spectra of the cytoplasmic lipids in the classifier, the accuracy has been improved. The main spectral differences that were found in the comparative analysis can be attributed to a higher expression of unsaturated fatty acids in the hepatocellular carcinoma cells and during the proliferation phase. This corresponds to the already examined de novo lipogenesis in cells of liver cancer.

An eight month randomized controlled exercise intervention alters resting state synchrony in overweight children.

Children with low aerobic fitness have altered brain function compared to higher-fit children. This study examined the effect of an 8-month exercise intervention on resting state synchrony. Twenty-two sedentary, overweight (body mass index ≥85th percentile) children 8-11 years old were randomly assigned to one of two after-school programs: aerobic exercise (n=13) or sedentary attention control (n=9). Before and after the 8-month programs, all subjects participated in resting state functional magnetic resonance imaging scans. Independent components analysis identified several networks, with four chosen for between-group analysis: salience, default mode, cognitive control, and motor networks. The default mode, cognitive control, and motor networks showed more spatial refinement over time in the exercise group compared to controls. The motor network showed increased synchrony in the exercise group with the right medial frontal gyrus compared to controls. Exercise behavior may enhance brain development in children.

Nonlinear saturation of wave packets excited by low-energy electron horseshoe distributions.

Horseshoe distributions are shell-like particle distributions that can arise in space and laboratory plasmas when particle beams propagate into increasing magnetic fields. The present paper studies the stability and the dynamics of wave packets interacting resonantly with electrons presenting low-energy horseshoe or shell-type velocity distributions in a magnetized plasma. The linear instability growth rates are determined as a function of the ratio of the plasma to the cyclotron frequencies, of the velocity and the opening angle of the horseshoe, and of the relative thickness of the shell. The nonlinear stage of the instability is investigated numerically using a symplectic code based on a three-dimensional Hamiltonian model. Simulation results show that the dynamics of the system is mainly governed by wave-particle interactions at Landau and normal cyclotron resonances and that the high-order normal cyclotron resonances play an essential role. Specific features of the dynamics of particles interacting simultaneously with two or more waves at resonances of different natures and orders are discussed, showing that such complex processes determine the main characteristics of the wave spectrum's evolution. Simulations with wave packets presenting quasicontinuous spectra provide a full picture of the relaxation of the horseshoe distribution, revealing two main phases of the evolution: an initial stage of wave energy growth, characterized by a fast filling of the shell, and a second phase of slow damping of the wave energy, accompanied by final adjustments of the electron distribution. The influence of the density inhomogeneity along the horseshoe on the wave-particle dynamics is also discussed.

Raman spectroscopy and imaging: promising optical diagnostic tools in pediatrics.

This review focuses on the use of Raman spectroscopy, an analytical technique based on the inelastic scattering of harmless laser light with biological tissues, as an innovative diagnostic tool in pediatrics. After a brief introduction to explain the fundamental concepts behind Raman spectroscopy and imaging, a short summary is given of the most important and common issues arising when handling spectral data with multivariate statistics. Then, the most relevant papers in which Raman spectroscopy or imaging has been applied with diagnostic purposes to pediatric patients are reviewed, and grouped according to the type of pathology: neoplastic, inflammatory, allergic, malformative as well as other kinds. Raman spectroscopy has been used both in vivo, mostly using optical fibers for tissue illumination, as well as on ex vivo tissue sections in a microscopic imaging approach defined as "spectral histopathology". According to the results reported so far, this technique showed a huge potential for mini- or non-invasive real-time, bedside and intra-operatory diagnosis, as well as for an ex vivo imaging tool in support to pathologists. Despite many studies are limited by the small sample size, this technique is extremely promising in terms of sensitivity and specificity.

Multiple scattering of electromagnetic waves by an array of parallel gyrotropic rods.

We study multiple scattering of electromagnetic waves by an array of parallel gyrotropic circular rods and show that such an array can exhibit fairly unusual scattering properties and provide, under certain conditions, a giant enhancement of the scattered field. Among the scattering patterns of such an array at its resonant frequencies, the most interesting is the distribution of the total field in the form of a perfect self-similar structure of chessboard type. The scattering characteristics of the array are found to be essentially determined by the resonant properties of its gyrotropic elements and cannot be realized for arrays of nongyrotropic rods. It is expected that the results obtained can lead to a wide variety of practical applications.

Towards detection and identification of circulating tumour cells using Raman spectroscopy.

Body fluids are easily accessible and contain valuable indices for medical diagnosis. Fascinating tools are tumour cells circulating in the peripheral blood of cancer patients. As these cells are extremely rare, they constitute a challenge for clinical diagnostics. In this contribution we present the Raman spectroscopic-based identification of different single cells in suspension that are found in peripheral blood of cancer patients including healthy cells like leukocytes and erythrocytes, and tumour cells like leukaemic cells and cells originating from solid tumours. Leukocytes and erythrocytes were isolated from the peripheral blood of healthy donors while myeloid leukaemia cells (OCI-AML3) and breast carcinoma derived cells (MCF-7, BT-20) were obtained from cell cultures. A laser emitting 785 nm light was used for optical trapping the single cells in the laser focus and to excite the Raman spectrum. Support vector machines were applied to develop a supervised classification model with spectra of 1210 cells originating from three different donors and three independent cultivation batches. Distinguishing tumour cells from healthy cells was achieved with a sensitivity of >99.7% and a specificity of >99.5%. In addition, the correct cell types were predicted with an accuracy of approximately 92%.

Nonlinear dynamics of resonant interactions between wave packets and particle distributions with loss-cone-like structures.

The paper studies the nonlinear mechanisms at work in magnetized plasmas when wave packets interact resonantly with particle distributions presenting loss-cone-like structures. Lower hybrid waves are considered in view of the great importance, in space and laboratory plasmas, of waves with frequencies below the electron cyclotron frequency. Owing to a three-dimensional Hamiltonian model and a numerical symplectic code, the authors study the nonlinear stage of the loss-cone instability for various particle distributions and wave spectra involving symmetric and asymmetric features. In particular, the wave-particle interaction process of dynamical resonance merging, which results from an instability of the trapped particles' motion and leads to complex stochastic phenomena, is discussed. Whereas interactions at normal cyclotron resonances are mostly considered, the role of the Landau and the anomalous cyclotron resonances is also studied to explain thoroughly the nonlinear wave-particle dynamics as well as the competition between loss-cone, fan, and beam instabilities. The relaxed particle distributions and the saturated wave spectra are analyzed. The time necessary for filling the loss-cone structures is determined as a function of the characteristics of the particle distributions. Whereas most of the previous works analyzed the asymptotic stage of the system's evolution in the frame of the well-known quasilinear theory, the paper considers the case when the energy carried by the wave packet is sufficiently large so that the description of the physical processes at work cannot be limited to the frame of weak turbulence theories.

Wave-particle interaction at double resonance.

This paper is devoted to studying wave-particle interaction at "double resonance" condition, i.e., when two waves interact resonantly with the same group of charged particles. A theoretical Hamiltonian model and a symplectic numerical code are built to describe the three-dimensional interactions of wave spectra with resonant electrons in a magnetized plasma. Related simulations on the evolution of two waves of close parallel phase velocities interacting resonantly with particles' fluxes have been performed, which reveal some common features which do not depend on the kind of waves, instabilities, and particles' distributions: after the stage of linear instability, when the waves' amplitudes saturate due to particle trapping, a nonlinear process takes place which is characterized by a quasiperiodical exchange of energy between the waves, depending in particular on the value of the mismatch between the waves' resonant velocities. In order to explain such observations, a simple Hamiltonian model describing the interaction of two different waves of close resonant velocities with a periodical train of bunches of trapped particles moving synchronously has been built. It allows one to describe the nonlinear characteristics of this process as well as to estimate analytically its time scale and shows a good agreement with the numerical simulation results.

Stochastic processes of particle trapping and detrapping by a wave in a magnetized plasma.

This paper presents some relevant numerical simulations of the three-dimensional evolution of a monochromatic lower hybrid wave interacting at the Landau resonance with a Maxwellian electron beam in a magnetized plasma. A statistical study of the stochastic trapping-detrapping transitions performed by a large set of quasiresonant test particles moving self-consistently in the wave's potential has been carried out using dynamical criteria based on simple physical arguments. The paper allows us to explain the role of the stochastic processes at work in the wave-particle interactions and to shed light on their influence on the dynamical evolution of the system over a long range of time.

Structural heterogeneity in intramolecular DNA triple helices.

Oligodeoxynucleotides designed to form intramolecular triple helices are widely used as model systems in thermodynamic and structural studies. We now report results from UV, Raman and NMR experiments demonstrating that the strand polarity, which also determines the orientation of the connecting loops, has a considerable impact on the formation and stability of pyr x pur x pyr triple helices. There are two types of monomolecular triplexes that can be defined by the location of their purine tract at either the 5'- or 3'-end of the sequence. We have examined four pairs of oligonucleotides with the same base composition but with reversed polarity that can fold into intramolecular triple helices with seven base triplets and two T4 loops under appropriate conditions. UV spectroscopic monitoring of thermal denaturation indicates a consistently higher thermal stability for the 5'-sequences at pH 5.0 in the absence of Mg2+ ions. Raman spectra provide evidence for the formation of triple helices at pH 5 for oligomers with purine tracts located at either the 5'- or 3'-end of the sequence. However, NMR measurements reveal considerable differences in the secondary structures formed by the two types of oligonucleotides. Thus, at acidic pH significant structural heterogeneity is observed for the 3'-sequences. Employing selectively 15N-labeled oligomers, NMR experiments indicate a folding pattern for the competing structures that at least partially changes both Hoogsteen and Watson-Crick base-base interactions.

Interaction of fMet-tRNA(fMet) with the C-terminal domain of translational initiation factor IF2 from Bacillus stearothermophilus.

Analytical ultracentrifugation studies indicated that the C-terminal domains of IF2 comprising amino acid residues 520-741 (IF2 C) and 632-741 (IF2 C-2) bind fMet-tRNA with similar affinities (K(d) at 25 degrees C equal to 0.27 and 0.23 microM, respectively). Complex formation between fMet-tRNA(fMet) and IF2 C or IF2 C-2 is accompanied by barely detectable spectral changes as demonstrated by a comparison of the Raman spectra of the complexes with the calculated sum of the spectra of the individual components. These results and the temperature dependence of the K(d) of the protein-RNA complexes indicate that complex formation is not accompanied by obvious conformational changes of the components, and possibly depends on a rather small binding site comprising only a few interacting residues of both components.

The C-terminal subdomain (IF2 C-2) contains the entire fMet-tRNA binding site of initiation factor IF2.

Previous protein unfolding studies had suggested that IF2 C, the 24. 5-kDa fMet-tRNA binding domain of Bacillus stearothermophilus translation initiation factor IF2, may consist of two subdomains. In the present work, the four Phe residues of IF2 C (positions 531, 599, 657, and 721) were replaced with Trp, yielding four variant proteins having intrinsic fluorescence markers in different positions of the molecule. Comparison of the circular dichroism and Trp fluorescence changes induced by increasing concentrations of guanidine hydrochloride demonstrated that IF2 C indeed consists of two subdomains: the more stable N-terminal (IF2 C-1) subdomain containing Trp-599, and the less stable C-terminal (IF2 C-2) subdomain containing Trp-721. Isolated subdomain IF2 C-2, which consists of just 110 amino acids (from Glu-632 to Ala-741), was found to bind fMet-tRNA with the same specificity and affinity as native IF2 or IF2 C-domain. Trimming IF2 C-2 from both N and C termini demonstrated that the minimal fragment still capable of fMet-binding consists of 90 amino acids. IF2 C-2 was further characterized by circular dichroism; by urea-, guanidine hydrochloride-, and temperature-induced unfolding; and by differential scanning calorimetry. The results indicate that IF2 C-2 is a globular molecule containing predominantly beta structures (25% antiparallel and 8% parallel beta strands) and turns (19%) whose structural properties are not grossly affected by the presence or absence of the N-terminal subdomain IF2 C-1.

The fMet-tRNA binding domain of translational initiation factor IF2: role and environment of its two Cys residues.

Mutations of the cysteines (positions 668 and 714) were generated in the IF2 C domain of Bacillus stearothermophilus translation initiation factor IF2. The corresponding proteins were characterized functionally and structurally. Most (yet not all) amino acid replacements at both positions resulted in severe reduction of the fMet-tRNA binding activity of IF2 C without grossly altering its structure. Our work demonstrates that: (a) both Cys residues are buried within an hydrophobic core and not accessible to protonation or chemical substitution, (b) neither Cys is functionally essential and (c) both Cys residues are located near the active site, probably without participating directly in fMet-tRNA binding.