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1 odes (WGMs) contained in the cavity-enhanced Raman spectra.
2 yphil cells) were characterized by their own Raman spectra.
3 by their transient absorption and stimulated Raman spectra.
4 d to characterize them on the basis of their Raman spectra.
5 copic analysis to improve analyte signals in Raman spectra.
6 ectra as well as label-free plasmon-enhanced Raman spectra.
7 per TEM and the presence of a 2D mode in the Raman spectra.
8 inelastically scattered visible photons for Raman spectra.
9 s, and provide a basis for interpretation of Raman spectra.
10 g the ratio of the amplitudes of the ROA and Raman spectra.
11 us solutions through chemometric analysis of Raman spectra.
12 environment, as indicated in the solid-state Raman spectra.
13 ation hierarchy via multivariate analysis of Raman spectra.
14 onsistent with characteristic changes in the Raman spectra.
15 nd human subjects by statistical analysis of Raman spectra.
16 and necrotic cell death based on single cell Raman spectra.
17 M analysis of the stimulated cavity-enhanced Raman spectra.
18 TOF experiments can be utilized to interpret Raman spectra.
19 t and retrieve the corresponding vibrational Raman spectra.
20 nsistent with and extends previous resonance Raman spectra.
21 performance is evaluated by comparison with Raman spectra.
22 distinguished by their intrinsic phenotypic Raman spectra.
23 (WMRS) may suppress the background from the Raman spectra.
24 nd a detailed analysis of the rich resonance Raman spectra.
25 a computer algorithm to analyze the measured Raman spectra.
26 ter functions may be used to regenerate full Raman spectra.
27 s of the analyte of interest and the mixture Raman spectra.
28 acid-microwaved CNTs, as indicated by their Raman spectra.
29 re and model the spectral variability of the Raman spectra.
31 a (800-1800 cm(-1)) and high-wavenumber (HW) Raman spectra (2800-3600 cm(-1)) from the subsurface of
34 ultifocal detection scheme that enables full Raman spectra (~500-2000 cm(-1)) from a 2-D focal array
42 e generate an extensive dataset of bacterial Raman spectra and apply deep learning approaches to accu
43 n microscopy (TEM), X-ray diffraction (XRD), Raman spectra and Brunauer-Emmett-Teller (BET) method.
44 ves including simulation of NMR, infrared or Raman spectra and calculation of other properties such a
45 attering data can be resolved into component Raman spectra and corresponding composition vectors that
48 f simultaneously acquiring both single point Raman spectra and digital holographic images of single c
49 obtained components were consistent with the Raman spectra and elution patterns of the samples, indic
51 ultaneously measuring phase-contrast images, Raman spectra and fluorescence images of the optically c
53 chemical experiments were in accordance with Raman spectra and surface roughness obtained by atomic f
55 probed by the low-frequency range of IR and Raman spectra and the applications of vibrational spectr
56 the OH stretching bands in the infrared and Raman spectra and their isotropic-anisotropic Raman nonc
57 d phase transitions, and related features in Raman spectra and their unexpected dependence on tempera
59 phase transition shows a hysteretic loop in Raman spectra, and can be reversed by increasing or decr
60 dge, Scanning electron microscopey (SEM) and Raman spectra, and direct magnetoelectric tensor of Pd-s
61 image processing, surface plasmon resonance, Raman spectra, and laser tweezer as well as micro/nanote
62 fficiency in the near-infrared (NIR) region, Raman spectra, and light attenuation spectra in the UV,
64 arable to one derived from the corresponding Raman spectra, and the considerably higher intensity of
65 ion concentration ratio from the spontaneous Raman spectra, and the total solute concentration from t
68 d dipole moment, as well as the infrared and Raman spectra are in excellent agreement with experiment
72 e Raman spectroscopy (RRS), i.e., mapping of Raman spectra as a function of tunable laser excitation
73 coefficients (FC) derived by modeling tissue Raman spectra as a linear combination of the Raman spect
74 differentiation capability using spontaneous Raman spectra as well as label-free plasmon-enhanced Ram
76 e simultaneously collect O-PTIR spectra with Raman spectra at a single point for individual particles
77 First, there are anomalies in c/a ratio and Raman spectra at low pressures (P = 1 - 2 GPa); and seco
78 periodic broad modes up to the 8th order in Raman spectra, attributed to the polaronic character of
79 s in the CH region of HWVN (high-wavenumber) Raman spectra between melanoma and benign melanocytic le
80 nal residues has been previously observed in Raman spectra, but atomic-resolution evidence for this i
81 tivariate curve resolution (MCR) analysis of Raman spectra can be utilized to determine speciation as
82 ormation in the CH-stretching region of HWVN Raman spectra can discriminate melanoma from benign mela
83 ata collection in conjunction with resonance Raman spectra collected before and after diffraction dat
85 been characterized via their UV-visible and Raman spectra, combined with dynamic light scattering an
88 X-ray diffraction patterns, and infrared and Raman spectra confirm the single-phase crystallinity and
89 gahertz- to terahertz-frequency infrared and Raman spectra contain a wealth of information concerning
90 alysis based on fluorescence lifetime and on Raman spectra discriminated between GA-ARBP and untreate
94 t electrode surface stability as verified by Raman spectra, electrochemical impedance spectroscopy (E
95 nant analysis (PLS-DA) models of single cell Raman spectra enable identifying four dissimilar hematop
96 of principal component analysis (PCA) to the Raman spectra enabled accurate identification of the dif
97 mount of structural information available in Raman spectra, even small alterations in protein conform
100 tructures were studied by X-ray diffraction, Raman spectra, field-emission scanning electron microsco
101 Multivariate analysis results of single-cell Raman spectra followed the same trend, exhibiting a sepa
104 h onto a CCD detector, giving 16 independent Raman spectra formed as 16 bands with different heights
105 emission scanning electron microscopy (SEM), Raman spectra, Fourier Transform infrared spectroscopy (
110 785 nm or 1064 nm, collecting a total of 164 Raman spectra from cancerous, benign, and transitional r
111 roscopy (RS) has such potential, we acquired Raman spectra from human cortical bone using microscope-
113 been used to compile a reference library of Raman spectra from several species of microfungi typical
117 f bacteria allows for obtaining high quality Raman spectra in dilute suspensions with an integration
118 iles of single cells at a large scale (8,774 Raman spectra in total), iPSCs and iPSC-derived neural c
119 report, we demonstrate the effectiveness of Raman spectra, in conjunction with multivariate analysis
125 arance of graphite intensity measured in the Raman spectra is accompanied by a steep approximately 0.
127 lyzed, we provide instructions for acquiring Raman spectra, maps and images for fresh plant tissue, f
129 calculations also reproduce the experimental Raman spectra measured for the ambient and high-pressure
130 we apply biomolecular component analysis for Raman spectra measured in the same nucleoli of HeLa cell
132 upon application of TCRS, the widely varying Raman spectra observed from a set of tissue phantoms hav
135 sing AuNPs@mesoSiO2 compared with the normal Raman spectra obtained from the aqueous solution and the
140 abase containing more than 10000 single-cell Raman spectra of 34 bacterial strains out of 13 differen
141 Raman spectra as a linear combination of the Raman spectra of 9 chemical and morphologic components o
142 through the changes in photoluminescence and Raman spectra of a bare bilayer MoS2 (Molybdenum disulfi
144 beta-CD: rGO sheets to record the resonance Raman spectra of adsorbed and included organic chromopho
145 eory calculations were used to determine the Raman spectra of all botryococcenes to compare computed
151 is method requires the transformation of the Raman spectra of both API and finished drug products int
152 sence of gold nanorods afforded good quality Raman spectra of carbendazim at micromolar concentration
153 ional modes were identified in the resonance Raman spectra of CcO from bovine (bCcO) and Rhodobacter
160 reasing amounts of hexagonal stacking on the Raman spectra of diamond were investigated computational
164 mical experiments by Raman spectroscopy, the Raman spectra of each phase were successfully identified
170 spectral flow cytometer capable of acquiring Raman spectra of individual SERS-tags at flow rates of h
172 Vibrational frequencies observed in IR and Raman spectra of ionic liquids based on different anions
176 effect spectroscopy to study the depolarized Raman spectra of lysozyme and its complex with the inhib
177 ng multivariate analysis techniques to micro-Raman spectra of mineralized nodules formed in vitro, we
179 ghput screening Raman spectroscope (HTS-RS), Raman spectra of more than 2000 individual neutrophils f
181 ce Fourier transform infrared (ATR-FTIR) and Raman spectra of non-extracted seed material have been r
184 in formaldehyde does not strongly affect the Raman spectra of nucleolar biomolecular components, but
185 ectronic absorption and stimulated resonance Raman spectra of P(r) and P(fr) are presented; vibronic
187 applied to compile a large-scale database of Raman spectra of single Bacillus endospores and to calcu
189 dispersion of the G-band was present in the Raman spectra of sub-nm SWNTs with diameters <0.7 nm.
192 de sensor was characterized by measuring the Raman spectra of the benzene derivative mixtures consist
193 greement between calculated and experimental Raman spectra of the biliverdin cofactor is in line with
194 01 M) concentrations of dissolved As(2)O(3), Raman spectra of the electrodeposited films were consist
201 ls to determine the alumina content from the Raman spectra of the molten NaF-AlF3-CaF2-Al2O3 electrol
206 Close similarities in the low-wavenumber Raman spectra of the title compound and starch-iodine po
207 hical cluster analysis were able to separate Raman spectra of the two most abundant leukocytes, the n
213 discriminant analysis (LDA) models based on Raman spectra of undifferentiated NSCs and NSC-derived g
214 We explain that a common spectral feature in Raman spectra of uranyl fluoride originates from the int
216 o retrieve background-free and noise-reduced Raman spectra over the whole frequency range including b
218 ed, and then used to acquire an average of 7 Raman spectra per specimen (between 4 and 24 Raman spect
220 short distances into cloth targets, and the Raman spectra produced by the GSR were measured and comp
221 Moreover, the distinct peak structures of Raman spectra provide detailed insight into the overall
223 he 2D correlation analysis of time dependent Raman spectra readily identified small sequential change
224 study presented here relies on reproducible Raman spectra recorded on molten mixtures whose composit
225 the relevant features that differentiate the Raman spectra regarding their pH and concentration of la
227 m(-1)) vibrations in infrared absorption and Raman spectra, respectively, identifies this intermediat
231 ate spectral data analysis of space-resolved Raman spectra revealed the intrinsic spectra and relativ
232 studies of reporter plasmids using confocal Raman spectra, S1 nuclease and restriction enzymes demon
233 ome", which is the collection of Single-cell Raman Spectra (SCRS) from a number of cells randomly sel
234 demonstrates the application of single-cell Raman spectra (SCRS) to differentiate Rhizobium legumino
235 tion band at 2070-2300 cm(-1) in single-cell Raman spectra (SCRS) when Escherichia coli used deuterat
241 Symmetry arguments together with first-order Raman spectra show that the single layer graphene (1LG),
246 spectra was achieved by SERS enhancement of Raman spectra specific for the Raman reporter dyes Infra
248 ectron paramagnetic resonance, and resonance Raman spectra strongly support the formation of a neutra
251 By comparing with solution-phase normal Raman spectra, the characteristic spectral variations ob
252 ition of the amide I vibrational band in the Raman spectra, the secondary structure of the peptide wa
254 spectroscopy, scanning electron microscopy, Raman spectra, transmission electron microscopy, positro
255 cal absorption, ligand binding and resonance Raman spectra typical of mu-oxo-bridged di-iron containi
258 optical trap while simultaneously collecting Raman spectra upon application of sugar to the medium.
260 r and with infrared absorption and resonance Raman spectra using a Styryl 9 M dye as a model system.
262 n of WNV and RVFV antigen detection in mixed Raman spectra was achieved by SERS enhancement of Raman
264 Principal component analysis (PCA) of the Raman spectra was used to build a classification model f
265 peak at 1594 cm(-1) in the second derivative Raman spectra was used to generate linear calibration mo
266 and optimizing the signal-to-noise ratio of Raman spectra, we observed a large-scale transition from
267 g on microplastics and associated changes to Raman spectra, we present a spectral library of plastic
268 dual C18-functionalized silica particle, and Raman spectra were acquired from a small confocal sampli
279 aman scattering microscopy, specific BaSO(4) Raman spectra were detected in BaSO(4) NP-instilled lung
288 hemical-morphological constituents, acquired Raman spectra were translated to characterize chemical m
290 odel was developed based on multidimensional Raman spectra, which classified the mutants according to
293 ssion (PLS) analysis were applied to analyze Raman spectra with and without resveratrol protection.
294 out the protein composition derived from the Raman spectra with data of the lipids analyzed by the MA
297 in HiPCO-SWNTs leads to large changes in the Raman spectra with the appearance of new peaks at 319, 3
298 pores through direct comparison of the spore Raman spectra with the reference spectral signatures in
299 ther PLS-DA modeling on in vivo FP/HW tissue Raman spectra yielded a diagnostic accuracy of 88.8% (se
300 e subject-out, cross-validation method on HW Raman spectra yielded a diagnostic sensitivity of 90.3%