ライフサイエンスコーパス: spectral

1 their long-lifetime radicals result in wide spectral absorption in the range 200-2500 nm.

2 ar dichroism, and three-dimensional emission spectral analyses merged with the multivariate curve res

3 Spectral analyses of these two populations have shown th

4 ith fluorescence lifetime imaging (FLIM) and spectral analyses offers the potential of detecting dise

5 Spectral analyses revealed a prominent theta (~4-7Hz) fe

6 combining the Fano-factor time curve, power spectral analysis and rescaled range analysis, we reveal

7 Spectral analysis characterises oscillatory time series

8 This novel approach to EPR spectral analysis provides insight into the positional e

9 Mass spectral analysis showed that O-fucose occurred at high

10 X-band electron paramagnetic resonance (EPR) spectral analysis, this indicates that the g = 4.1 EPR s

11 els of structural disorder that emerged from spectral and chemical signatures over the past decade.

12 fied based on the functional group using the spectral and structural networks correlation analysis.

13 We describe diverse spectral and temporal modulation preferences and distinc

14 h approach, combined with high flux and high spectral and temporal resolution soft X-ray absorption s

15 With greatly improved spectral annotation, coupled with the speed of index-bas

16 Here, we demonstrate a spectral approach to assess biodiversity effects in youn

17 e presence of narrow peaks rising out of the spectral background.

18 tribution of the absorbance of the nu(as) OH spectral band.

19 Independent control of spectral bands without significant cross-talk between in

20 With monochromator-produced light, any spectral bandwidth and centre wavelength from 390 to 730

21 pm at 1-mum wavelengths) and can also detect spectral bandwidths of known lineshapes with high sensit

22 imple pulse sequence that affords zero-slope spectral baselines and quantitative results is presented

23 grating and line sensor, cannot capture the spectral behavior from noise to stable mode-locking.

24 xciton-polariton condensate by detecting the spectral branch of elementary excitations populated by t

25 odulation of the exciton frequencies governs spectral broadening.

26 protein, an aspect increasingly supported by spectral calculations.

27 We attribute these spectral changes to the rapid evolution of high-density

28 ariables that can influence ablation-induced spectral changes, including the drop in myocardial NADH

29 omponents through empirical correlation with spectral character has been the main application of VCD

30 M had a major influence on the magnitude and spectral characteristics of the AQY-M.

31 qPCR-negative plants exhibited HLB-specific spectral characteristics that can be distinguished from

32 efficient matrix-free divisive hierarchical spectral clustering different from prevalent single-reso

33 We present Spectrum, a new spectral clustering method for complex omic data.

34 suggest that power variation along different spectral components can encode qualitatively different k

35 state contributes to provide better resolved spectral components compared to those collected in solut

36 simultaneous color visualization of multiple spectral components of hyperspectral fluorescence images

37 Spectral components of the EEG revealed no significant d

38 eatures as predictors of successful weaning: spectral components of the EEG signal, and spatial-corre

39 meters revealed those anatomical regions and spectral components that were discriminant in the differ

40 chemical reactions with multiple overlapping spectral components were conducted by collecting over 84

41 ded with the same fidelity by these distinct spectral components.

42 We call this phenomenon spectral condensation and study its occurrence in fluid

43 uired in a single pass using a line-scanning spectral confocal microscope.

44 ere quantified using three-dimensional laser spectral, confocal, and transmission electron microscopy

45 RCs are difficult to interpret due to large spectral congestion, necessitating modeling to elucidate

46 tivity analysis of defined cell types called spectral connectomics.

47 10-fold), spatial resolution (fourfold), and spectral consistency (by mitigating the effects of scatt

48 in the distribution of sleep transients and spectral content during all sleep stages.

49 urprisingly improved, which was unrelated to spectral content.

50 In addition, most information on spectral contrast was intermixed with temporal informati

51 This was evidenced by an increase in spectral counts for proteins involved in flagella struct

52 n, down to the attosecond regime, with broad spectral coverage; we introduce two-dimensional spectros

53 ir stoichiometry in the NE by accounting for spectral cross talk and local volume fluctuations.

54 s in terms of reduced phototoxicity, minimal spectral cross talk with visible light excitable optogen

55 penetration, hardware versus object scatter, spectral crosstalk, spatial resolution, spatial registra

56 We found that frontal RFs require spectral cues and lateral RFs require ILDs.

57 Spectral cues are spatially encoded in the amplitude of

58 Little is known about how spectral cues contribute to the neural encoding of audit

59 These results demonstrate that patterned spectral cues in combination with ILDs give rise to the

60 cols, as well as, potentially, for including spectral data as input in the refinement of coarse-grain

61 ctronic detector threshold allows for faster spectral data collection with improved stability.

62 The spectral data demonstrated that the FNA reactions procee

63 ude similar basic functionality to read mass spectral data from standard file formats, process it, an

64 ght and employed phasor analyses to FLIM and spectral data in mouse models of retinal diseases.

65 e demonstrate the acquisition of 2.5 million spectral data points over the continuous wavelength rang

66 s for the identification of microplastics in spectral data sets.

67 Isothermal titration calorimetry and spectral data show that Cu(II) binds to NfoR nonspecific

68 ar Regression (MLR) analysis of preprocessed spectral data was used to develop optimized models to pr

69 etric algorithms were tested to classify the spectral data; genetic algorithm with linear discriminan

70 he analysis of two-dimensional (temporal and spectral) data.

71 mass spectrometry is usually made using mass spectral databases.

72 atures where quantum states are coupled, and spectral decongestion.

73 It allows for high-sensitivity spectral deconvolution, leading to less false-positive i

74 duced drastically larger enhancements during spectral degradation, suggesting a condition-specific fa

75 erive source plane expressions for the cross-spectral density (CSD) and mutual coherence functions (M

76 This spectral density contains two parameters, one global rel

77 We aimed to identify the difference in power spectral density of electroencephalography (EEG) between

78 The absolute power spectral density values in the beta and delta bands were

79 We compared the absolute power spectral density values of standard EEG frequency bands

80 t require any a priori assumptions about the spectral dependency of photobleaching.

81 quantum yields (AQYs) that capture the dual spectral dependency of this process and are applicable t

82 is, mostly from chromatographic origin with spectral detection.

83 ree to which each method is suited to detect spectral difference between the samples and the degree t

84 orne imaging of a tree-diversity experiment, spectral differences among stands enabled us to quantify

85 rts these predictions and reveals pronounced spectral differences for the same polymer in the two pol

86 nto the molecular-level processes that drive spectral diffusion in an extended network of water molec

87 methods: high selectivity from the multiple spectral dimensions, line-narrowing, isolation of spectr

88 hromatic contrasts in observers with reduced spectral discrimination.

89 have a dramatic impact on the amplitude and spectral distribution of plasmon-emitter interactions.

90 ulations were carried out to investigate the spectral distribution of the RIN and the results confirm

91 All subjects underwent spectral domain OCT (SD-OCT) and qAF imaging with the He

92 Spectral domain OCT images were analyzed using the in-bu

93 Spectral domain OCT images were graded for GA area using

94 underwent macular 3- x 3-mm OCTA scans with spectral domain OCTA.

95 Spectral domain optical coherence tomography (SD-OCT) de

96 rmal in clinical imaging modalities, such as spectral domain optical coherence tomography (SD-OCT).

97 Spectral domain-optical coherence tomography (SD-OCT) re

98 air is highly sparse in the (Walsh-Hadamard) spectral domain.

99 Multimodal imaging, including spectral-domain (SD) OCT and infrared reflectance (IR),

100 Visual acuity, spectral-domain (SD) OCT findings, injection details, an

101 rformed a longitudinal assessment of monthly spectral-domain (SD) OCT scans to determine MA prevalenc

102 The inability to correct for axial length on spectral-domain (SD) OCT translates into lower signal st

103 noise to a stable mode-locking state in the spectral-domain are known as complex and a non-repetitiv

104 Spectral-domain CIRRUS 5000 (Carl Zeiss Meditec, Dublin,

105 moderate or faster rates by SAP vs 26.5% by spectral-domain OCT (P = .055).

106 l) and were followed weekly for 4 weeks with spectral-domain OCT (SD-OCT) assessing the time to maxim

107 A) and the "double-layer sign" on structural spectral-domain OCT (SD-OCT) imaging, were used to ident

108 acuity (BCVA) and retinal imaging, including spectral-domain OCT (SD-OCT), over a study period of 6 y

109 ptics optical coherence tomography (AO-OCT), spectral-domain OCT (SDOCT), and microperimetry (MP) at

110 nt macular and optic nerve head imaging with spectral-domain OCT (SDOCT).

111 Spectral-domain OCT alone can be relied upon for detecti

112 This spectral-domain OCT analysis identified various patterns

113 All patients underwent spectral-domain OCT and fundus autofluorescence imaging

114 Spectral-domain OCT findings included choroidal elevatio

115 with >=6 months of follow-up, 2 good quality spectral-domain OCT peripapillary retinal nerve fiber la

116 t to retinal pigment epithelium (RPE) in 836 spectral-domain OCT slices from 44 eyes of 39 patients.

117 In addition, in 47 distinct eyes, 4181 spectral-domain OCT slices were retrospectively reviewed

118 ests should be used to monitor glaucoma, and spectral-domain OCT still has a relevant role in detecti

119 Most eyes classified as fast by spectral-domain OCT were classified as slow by SAP and v

120 Fibrosis was categorized using spectral-domain OCT with respect to retinal pigment epit

121 very 3 months with color fundus photography, spectral-domain OCT, and slit-lamp biomicroscopy.

122 wenty-nine thousand five hundred forty-eight spectral-domain optical coherence tomography (OCT) and 1

123 vea-to-disc alignment (FoDi) software of the spectral-domain optical coherence tomography (SD-OCT) (S

124 examined a series of patients with ECE using spectral-domain optical coherence tomography (SD-OCT) im

125 thickness were by automated segmentation of spectral-domain optical coherence tomography (SD-OCT) sc

126 ease-causing gene by using SW-AF imaging and spectral-domain optical coherence tomography (SD-OCT) sc

127 Spectral-domain optical coherence tomography (SDOCT) and

128 mine first the response to anti-VEGFs, using spectral-domain optical coherence tomography scans obtai

129 mical changes in foveal microstructure using spectral-domain optical coherence tomography.

130 addressed this issue using a novel technique-spectral dynamic causal modelling-that estimates the eff

131 The spectral dynamics displayed by the clusters thus offer a

132 Herein, we exploited spectral editing techniques to identify and quantify the

133 process was performed to select temporal and spectral EEG features that contribute to texture classif

134 Furthermore, the spectral emission could be continuously tuned from blue

135 d 10(3) frames simultaneously by synergizing spectral encoding, pulse splitting, temporal shearing, a

136 h dependent measurements revealed that rapid spectral energy shift and broadening started within the

137 valuated in both conditions, and their rate, spectral entropy, relative amplitude and duration were c

138 c aspects of this process were explored, and spectral evidence for 3,3'-spiroindolenine intermediates

139 mpose additional locality constraints on the spectral features and therefore helps provide a much mor

140 sion of shifted frequency combs and identify spectral features arising from the breakdown of the dipo

141 ments reveal a characteristic combination of spectral features for each of the four diastereomers stu

142 e analysis of the spectra reveals that these spectral features in part originate from hydrogen vibrat

143 oped based on data fusion of Raman and FT-IR spectral features obtained the second best performance (

144 revealing the characteristic sub-200 cm(-1) spectral features of component materials.

145 performed based on the characteristic Raman spectral features of each reporter used in different nan

146 Emission spectral features reveal that molecular formation occurs

147 prospective cohort, similar intraburst theta spectral features were evident in patients with favorabl

148 ral dimensions, line-narrowing, isolation of spectral features where quantum states are coupled, and

149 f relevant variables, prediction of expected spectral features, and search for complementary data acr

150 We report differences in spectral features, unit-local field potential coupling,

151 ion, necessitating modeling to elucidate key spectral features.

152 captures contextual dependencies between the spectral features.

153 Laurdan fluorescence, novel spectral fitting, and dynamic light scattering were comb

154 rate that the red-shifted cyanine dyes offer spectral flexibility in multiplexed imaging experiments

155 r of parameters measured by conventional and spectral flow cytometry reinforces the need to apply man

156 We formulated mass spectral fragmentations of lipids across 117 lipid subcl

157 We propose a new spectral framework for reliable training, scalable infer

158 vior and are typically optimized at discrete spectral frequencies.

159 Spectral fusion is a general technique that can fuse spe

160 properties allow us to analytically predict spectral gaps.

161 The spectral hemispherical transmittance was measured.

162 The increase in mid- and extra-spectral hue representations through V2 and V4 reflects

163 o 730 nm can be selected to produce a narrow spectral hue.

164 estimation of false discovery rate (FDR) of spectral identification is a central problem in mass spe

165 d specific glycogen mapping through distinct spectral identification.

166 how that a combination of z-STED with FCS or spectral imaging enables us to see previously unobservab

167 This study aims to optimize Raman spectral imaging for the identification of microplastics

168 Automatic remote reflectance spectral imaging of large painted areas in high resoluti

169 Time-resolved two-dimensional spectral imaging was performed to evaluate the spatio-te

170 orescence correlation spectroscopy (FCS) and spectral imaging.

171 count the difference in the dimension of the spectral information and in the underlying models of bot

172 of multiple CE fragmentation without merging spectral information can significantly improve confidenc

173 The FT-RAMAN technique was used to obtain spectral information for all fractions collected during

174 Spectral information is commonly processed in the brain

175 t the quality characteristics of purees from spectral information of raw apples.

176 can be used to acquire and post-process the spectral information required to reveal the lesion sites

177 The idea of generating new spectral information using passive, adjacent resonances

178 c imaging at tissue or organ level with rich spectral information.

179 This phenomenon is typically analyzed as the spectral intensity increasing from the summation of thes

180 Echolocating bats rely upon spectral interference patterns in echoes to reconstruct

181 isting computational models, indicating that spectral interference patterns may be efficiently encode

182 Spectral interferences of the molecular bands of PO and

183 ond half of this contribution focuses on the spectral interpretation.

184 ductors that are shown to have a distinctive spectral IP response.

185 Spectral lens transmittance was estimated from the lens

186 Although there are many spectral libraries produced worldwide, the quality contr

187 In our approach, a spectral library is built from the identification result

188 ruction of a previously reported tandem mass spectral library of 74 human milk oligosaccharides (HMOs

189 We describe the creation of a mass spectral library of acylcarnitines and conjugated acylca

190 iated changes to Raman spectra, we present a spectral library of plastic particles aged in the enviro

191 A spectral library, which contained seven proteotypic pept

192 Narrow-band spectral lines enable researchers to investigate the mat

193 Spectral lines of C, Ca, Fe, Mg, N and Na were selected

194 ture of the very long electron beam produced spectral lines that were observed to have frequencies up

195 nction using dimensionless intensity of Fe I spectral lines(I*), dimensionless velocity(v*) and dimen

196 pectral region as described by the ab initio spectral lineshape averaged over the nuclear wavepacket

197 of global B(0) homogeneity by 55%, narrower spectral linewidth by 29%, higher signal-to-noise ratio

198 included a group of 547 women who underwent spectral mammography and histopathological verification

199 etation of the complex, and often congested, spectral maps delivered by modern non-linear multi-pulse

200 anced Raman spectroscopy (SERS) to determine spectral markers for the diagnosis of heparin-induced th

201 en from phosphopeptides with a low number of spectral matches.

202 Our libraries increase the likelihood of spectral matching for a broad range of microplastics bec

203 We showcase that spectral measurements of proteins, lipids, and glucose i

204 Leaf spectral measurements were paired with a number of physi

205 We define a set of spectral measures to quantify this condensation spanning

206 we uncover an inverse power law behaviour of spectral measures with the power corresponding to the do

207 without any additional manipulation by using spectral microscopy following an extensive protocol by w

208 mical reference measurements, and predictive spectral models were constructed using a partial least-s

209 We investigated whether targeted spectral modifications to cladding materials that disrup

210 We observe a spectral narrowing of the collective atomic response wel

211 ide of the bandgap, we detect efficiency and spectral nonlinear dependencies, as well as signatures o

212 plicitly targets compounds for which neither spectral nor structural reference data are available and

213 ion patterns of A1 changed when naturalistic spectral notches were inserted into echo mimic stimuli.

214 h comprehension, we selectively degraded the spectral or temporal dimensions of auditory sentence spe

215 is approach is difficult to multiplex due to spectral overlap between any additional fluorophores, an

216 Notably, the very strong spectral overlap between the emission spectrum of benzim

217 Due to the spectral overlap of these commonly used fluorophores, mu

218 ors can report many of these parameters, but spectral overlap prevents more than ~4 modalities from b

219 Finally, we report its excellent spectral overlap with the interbase FRET acceptors qAnit

220 A distinct (40-50 year timescale) spectral peak that appears in global surface temperature

221 processed to remove noise and to align mass-spectral peaks across samples.

222 trometry (FT-ICR MS) offers the highest mass spectral performance for MALDI MSI experiments, and ofte

223 very rate approach, which is based on single spectral permutation and increases identification accura

224 nter-trial coherence (ITC) and event-related spectral perturbation (ERSP) were significantly reduced

225 Here, we provide first details on spectral photon irradiance within the photic zones of fo

226 Overall EEG variation, spectral power and event-related potentials could not ex

227 te and multivariate techniques characterized spectral power density differences when perceiving the d

228 ention, indexed by increased alpha and theta spectral power, during brief open monitoring (OM) mindfu

229 Furthermore, spectral principal component analysis of amino acid frag

230 lower bounds into a staple of eigenvalue and spectral problems in physics and chemistry.

231 scriminate fluorescent proteins with similar spectral properties and to use them for single-color flu

232 Two of these cores are related to the spectral properties and walks of length one and two whic

233 ps in such compounds based on their observed spectral properties.

234 ontrasts from all individual voxels that met spectral quality, were analyzed in common brain space, f

235 ch is potentially associated with changes in spectral radiance across different lines of sight.

236 rmula: see text] = 3.60 [3.49 to 3.84]), the spectral radius of a suitable next-generation matrix tha

237 potential of organic semiconductors in this spectral range (800-2500 nm) remains largely unexplored.

238 l absorbance in a broad near-infrared region spectral range (wavelength, 700-1,200 nm), making them s

239 of photonic applications due to its tunable spectral range and possible operation at non-coherent so

240 ic radiation due to coherent emission in the spectral range from a few GHz to potentially a few THz.

241 in the phytochrome superfamily with a broad spectral range from the near UV through the far red (330

242 tra of high explosive materials (HE) in wide spectral range in order to acquire information for their

243 to the microcomb studies, and our microcomb spectral range is useful for applications in optical clo

244 The results show that the spectral range of absorption can be tuned by changing th

245 ristics were investigated in the 3.5-5.1 mum spectral range using the infrared thermography technique

246 nanophotonics architectures in the infrared spectral range, by reporting metamaterial resonances in

247 ith 10 fs duration across the entire VIS-NIR spectral range.

248 A spectral receptive-field model incorporating broadband i

249 nfrared microscopy with a newly incorporated spectral region (2,000-2,300 cm(-1)).

250 ble responsivity over 0.5 A W(-1) in the NIR spectral region (920-960 nm), which is the highest among

251 on the transient response in the soft-X-ray spectral region as described by the ab initio spectral l

252 Luminescence in the near-infrared spectral region is even more difficult to achieve as fur

253 move environmental noise within the sampling spectral region while preserving relevant information on

254 90 cm(-1)) Raman band area (3350-3550 cm(-1) spectral region) after being normalized to the neighbori

255 ecies are deconvoluted using a new strategy, spectral regional baselining, for time- and potential-re

256 This spectrum is then used to define spectral regions of interest that are utilized to recons

257 To study how spectral representation is transformed through modular s

258 ion of the spectrometer demonstrates sub-GHz spectral resolution and an average precision of 6.7 x 10

259 d resolved spectra can be obtained with high spectral resolution and fractional monolayer detection l

260 on rate of over 6 EEMs per minute and with a spectral resolution of 5.3 nm.

261 ry auditory cortex that are sensitive to the spectral resolution of vocal sounds.

262 relations, and thereby combining an enhanced spectral resolution with speed and sensitivity.

263 l approach, the proposed framework preserves spectral resolution, and in turn, sensitivity and specif

264 w that molecular supracence imparts superior spectral resolution, resolving eight colors in 300-nm wi

265 provided by the combination of temporal and spectral resolution.

266 Studies with high spectral resolutions, as is required e.g. for high-resol

267 We show remarkably similar bimodal spectral response profiles in left and right primary and

268 We report the intrinsic spectral responses of isolated OH oscillators embedded i

269 ism is expected to confer expanded "UV-blue" spectral sensitivity and is estimated to have persisted

270 us, TH signaling coordinately regulates both spectral sensitivity and sensory plasticity.

271 ptor sensitivities had significant shifts in spectral sensitivity compared to previous measurements.

272 pressures for G. australis to maintain broad spectral sensitivity for the brightly lit surface waters

273 nakes they have undergone multiple shifts in spectral sensitivity toward the longer wavelengths that

274 osome that result in significantly decreased spectral separation between their middle- (M-) and long-

275 functional multidentate polymers, the VIR-QD spectral series has high quantum yield in the SWIR (14-3

276 Further analysis confirmed that the spectral shape primarily reflects the degree of steric c

277 P450 3A4 showed rapid binding as judged by a spectral shift with at least partial high-spin iron char

278 ollowing the rapid decay (0.6 ns) of a small spectral side band, the broad emission line shape is con

279 logical properties (magnitude, duration, and spectral signature) to task-evoked activations.

280 Raman spectral signatures in the amide I region revealed that

281 el and to confirm the assignment of specific spectral signatures in the live cell spectra, SERS data

282 analysis workflow revealed that distinctive spectral signatures were detected from different regions

283 nstructed color similarity map, in which the spectral similarity between pixels is represented by col

284 This spectral site polymorphism is expected to confer expande

285 ndent data sets, we demonstrate that the 1/f spectral slope of the electrophysiological power spectru

286 We describe a label-free method based on spectral small-angle X-ray scattering with a polychromat

287 uced-dimensional perovskite domains, and the spectral stability is poor, with an undesirable shift (o

288 ften strongly coupled across spatio-temporal-spectral (STS) domains.

289 t PV+ cells, significantly reduces sustained spectral surround suppression in excitatory cells, indic

290 We uncover an Fe-related spectral transition of Fe:MoS(2) monolayers that appears

291 We identified three spectral tuning residues critical for the red-shifted ab

292 astly, we propose a semi-blind sparse affine spectral unmixing (SSASU) algorithm that uses knowledge

293 Spectral unmixing methods attempt to determine the conce

294 ting them with information on compositional (spectral) variation.

295 ed to the Ag diffusion, with the vibrational spectral weight associated to Ag oscillations evolving i

296 icles, and the temperature dependence of the spectral weight is consistent with its Fermi velocity.

297 rther demonstrated via temperature-dependent spectral-weight transfer.

298 Close to the BEC critical temperature, the spectral width exceeded the impurity's binding energy, s

299 requency spectroscopy, we probed the energy, spectral width, and short-range correlations of the impu

300 istics coincide with experimentally achieved spectral width, pulse duration, and average power with i