ライフサイエンスコーパス: quantitative analysis

1 at of the analyte significantly improved the quantitative analysis.

2 field, single molecule detection scheme for quantitative analysis.

3 s for tumor-targeted nanomedicine based on a quantitative analysis.

4 ve ions revealed several indicative ions for quantitative analysis.

5 g with limited capacity for multiplexing and quantitative analysis.

6 edict the binomial probability of successful quantitative analysis.

7 H NMR (qHNMR), a well-established method for quantitative analysis.

8 struments to achieve efficient screening and quantitative analysis.

9 terials act as interferences that complicate quantitative analysis.

10 om 13 of these studies able to be pooled for quantitative analysis.

11 powerful, have previously been refractory to quantitative analysis.

12 speed, throughput, and potential for robust quantitative analysis.

13 the light microscopy approach: labeling and quantitative analysis.

14 ctures to visual inspection rather than to a quantitative analysis.

15 misinformation spreading through a thorough quantitative analysis.

16 nd six met the criteria for inclusion in the quantitative analysis.

17 HIC-MS is feasible for both qualitative and quantitative analysis.

18 ptides were identified and subjected to semi-quantitative analysis.

19 s while maintaining the power of multiplexed quantitative analysis.

20 nderestimated due to a lack of comprehensive quantitative analysis.

21 um and zinc and it may be also used for semi-quantitative analysis.

22 and other retinal neurons and permits their quantitative analysis.

23 igned to generate contrast in BF imaging for quantitative analysis.

24 en proteins is of critical importance during quantitative analysis.

25 S. typhimurium, providing an instrument-free quantitative analysis alternative to spot tests, which r

26 powerful computational tool that facilitates quantitative analysis and enables comparison of sinoatri

27 dy was to evaluate tracer kinetic models for quantitative analysis and generation of parametric image

28 left ventricular (LV) and right ventricular quantitative analysis and late gadolinium enhancement (L

29 Quantitative analysis and theoretical modelling of spati

30 ross both dimensions to perform conventional quantitative analysis and to take advantage of the newes

31 ere we demonstrate a novel three-dimensional quantitative analysis applicable to single-molecule posi

32 Using specific inhibitors and quantitative analysis at the single-cell level, we syste

33 (SM-SERS) has the potential to revolutionize quantitative analysis at ultralow concentrations (less t

34 mitations in their detection sensitivity and quantitative analysis because they only identify the hig

35 d Ag@SMP substrates were highly suitable for quantitative analysis because they yielded an estimated

36 Quantitative analysis by global curve fitting of properl

37 lamine during metabolite isolation, enabling quantitative analysis by targeted LC-MS/MS.

38 resolution, Rs*; that is to say, successful quantitative analysis can be achieved when Rs >/= Rs*.

39 Quantitative analysis can potentially improve the accura

40 signal reproducibility, matrix effects, and quantitative analysis capability of the system were esta

41 Quantitative analysis confirmed the positive visual find

42 tal composition, high spatial-resolution and quantitative analysis creates a unique tool with capabil

43 ed substantial overlap (kappa=0.66), whereas quantitative analysis demonstrated that (18)F-FDG extent

44 Quantitative analysis demonstrated that the two gating s

45 Quantitative analysis disclosed that stages 3-4 and 5 ca

46 Quantitative analysis enable confirmation of signal inte

47 Quantitative analysis for CHCl3 and CH2Cl2 have also bee

48 ne the probability of achieving a successful quantitative analysis for gas chromatography coupled wit

49 ack consensus definition and the utility for quantitative analysis has been questioned.

50 To date, little quantitative analysis has rigorously studied these topic

51 Quantitative analysis in 53 differentially expressed gen

52 Quantitative analysis in EM showed significant differenc

53 neutrophils and chemokine immunofluorescence quantitative analysis in response to C. albicans vaginal

54 a technique widely used for qualitative and quantitative analysis in various fields.

55 Quantitative analysis indicated that allelic choice at t

56 re integrated within complex networks, their quantitative analysis is challenging in native systems.

57 On quantitative analysis, maximum standardized uptake value

58 sing chromogenic IHC and the AQUA (Automated Quantitative Analysis) method of QIF.

59 given the explosive growth in the number of quantitative analysis methods being proposed.

60 sis lyrata and Capsella rubella Based on the quantitative analysis metrics, we investigated the evolu

61 The current noninvasive method for quantitative analysis of (123)I-iodobenzovesamicol, base

62 Quantitative analysis of 2D T1-T2 maps greatly facilitat

63 Quantitative analysis of 3-D structures of the polypoida

64 FIB-SEM for 3D imaging of collagen gels and quantitative analysis of 3D fibril networks.

65 llenging nuclear environment, and subsequent quantitative analysis of 3D nuclear structures and epige

66 different methodologies were applied for the quantitative analysis of 86 volatile molecules in 32 Cha

67 Quantitative analysis of [(18)F]-FDG-PET/CT images revea

68 man scattering (SERS)-based LF assay for the quantitative analysis of a specific biomarker in the low

69 We demonstrate a quantitative analysis of a well-defined electron-boson i

70 Here, we develop ProteoModlR, a program for quantitative analysis of abundance and stoichiometry of

71 old-standard" assay currently being used for quantitative analysis of active AFB1.

72 Quantitative analysis of antioxidants in a fast, simple

73 Quantitative analysis of AOSLO images typically requires

74 tific papers concern the qualitative or semi-quantitative analysis of aroma-active terpenes in liquid

75 ric analysis of organometallic compounds and quantitative analysis of ascorbic acid in commercial ora

76 In-depth quantitative analysis of BCL-2 family proteins and other

77 te numerical methodology for qualitative and quantitative analysis of binary and ternary edible oil m

78 of the glycosylation process has impeded the quantitative analysis of biochemical experimental data f

79 Quantitative analysis of bioimaging data is often skewed

80 Quantitative analysis of biomolecular adsorption on a su

81 ential for the in-depth characterization and quantitative analysis of biopharmaceutical proteoforms.

82 A novel strategy for quantitative analysis of BMP and PG species was develope

83 tion quantitation (PLQ)-the first method for quantitative analysis of both a substrate and a product

84 ous cell morphologies, offers algorithms for quantitative analysis of both diffraction and non-diffra

85 Quantitative analysis of cell shape helps to reveal the

86 omated image segmentation, cell tracking and quantitative analysis of cell shape, polarity and behavi

87 Quantitative analysis of cellular kinetics, in combinati

88 cs tools, thereby facilitating comprehensive quantitative analysis of cellular signaling.

89 Quantitative analysis of CH3I is mostly based on gas chr

90 These results provide the first quantitative analysis of changes in binding affinity for

91 From a quantitative analysis of chemical shifts, it was found t

92 This study presents quantitative analysis of climatic and anthropogenic fact

93 Quantitative analysis of clinical image data is an activ

94 Quantitative analysis of clonal abundance in several ana

95 aman spectroscopy (SERS)-based detection for quantitative analysis of cloxacillin in pig serum.

96 ric techniques to improve the structural and quantitative analysis of complex samples.

97 We report results of a quantitative analysis of country-specific relative risks

98 as established a new analytical platform for quantitative analysis of cross-linked peptides, which ca

99 es by using color-coded maps and performed a quantitative analysis of CT numbers on VNCa images.

100 Here we report a quantitative analysis of cysteine-reactive small-molecul

101 Quantitative analysis of data generated during healthcar

102 Our quantitative analysis of DDi connectivity demonstrates t

103 From the quantitative analysis of detected components, a random T

104 Therefore, a quantitative analysis of diffusion, secretion kinetics,

105 ity for extensive probe multiplexing permits quantitative analysis of distinct, highly intermixed cel

106 isualization of these differences based on a quantitative analysis of elastic transformations (deform

107 We report on a quantitative analysis of electrocorticography data from

108 of brain electrical activity, as assessed by quantitative analysis of electroencephalogram signal, an

109 The quantitative analysis of electroluminescence and current

110 ) are techniques that enable nondestructive, quantitative analysis of elemental depth profiles with a

111 that FD curve-based imaging is suitable for quantitative analysis of fewer than 10 copies of DNA bio

112 s method was demonstrated through successful quantitative analysis of five inflammatory cytokines in

113 Quantitative analysis of fluorescence signals from cells

114 Here, quantitative analysis of FtsY-lipid interactions at sing

115 Together, these data provide quantitative analysis of gene expression at exon-level r

116 ethods, data, and results of a comprehensive quantitative analysis of generation, stock, and collecti

117 We carried out quantitative analysis of gliadin types by RP-HPLC to ver

118 The study provides the first systematic quantitative analysis of glial cell insertions at centra

119 We used a digital camera for the quantitative analysis of glucose with the S coordinate o

120 as simple, fast and accurate methods for the quantitative analysis of gluten in flour.

121 Quantitative analysis of glycans can be achieved by labe

122 We present a systematic and quantitative analysis of GQ folding propensity on a larg

123 t the detection system could be used for the quantitative analysis of Gram-positive bacteria and migh

124 sents a method validation for extraction and quantitative analysis of hexythiazox residues in strawbe

125 ased image processing package well-suited to quantitative analysis of high-throughput live-cell fluor

126 ing by detection of fluorescent product, for quantitative analysis of hits by rapid and accurate meas

127 The quantitative analysis of human immunoglobulin G1 (hIgG1)

128 developed method also allowed for the first quantitative analysis of hydrolysis of a nonphospholipid

129 Quantitative analysis of hypocotyl cell growth in the ne

130 hroughout the mononuclear phagocyte system), quantitative analysis of Iba1-stained retinal sections a

131 Quantitative analysis of images included measurement of

132 In addition, a complementary quantitative analysis of individual phenolic compounds w

133 the lowest detection limits reported in the quantitative analysis of intact proteins by direct measu

134 However, quantitative analysis of IT data has been hindered by th

135 microbiota pose considerable challenges for quantitative analysis of its spatial organization.

136 Quantitative analysis of labile heme is of fundamental i

137 tware designed for efficient exploration and quantitative analysis of large, complex 3D microscopy da

138 pproach, combining direct LCTEM observation, quantitative analysis of LCTEM data, and correlated in s

139 Moreover, quantitative analysis of LD proteome dynamics uncovered

140 and photonic elements in wave optics enables quantitative analysis of light manipulation with individ

141 A quantitative analysis of lipid-order parameter changes s

142 Quantitative analysis of LV function and mass was perfor

143 emical proteomic platform for the global and quantitative analysis of lysine residues in native biolo

144 elieved to be of critical importance for the quantitative analysis of many three-terminal devices wit

145 Here, we report a quantitative analysis of microbial genome evolution by f

146 The accurate and quantitative analysis of microRNA (miRNA) expression is

147 graphically interfaced implementation and a quantitative analysis of microtubule network architectur

148 However, quantitative analysis of microtubule networks is hampere

149 However, comprehensive and quantitative analysis of milk metabolites is a challengi

150 Quantitative analysis of monoglyceride molecular species

151 c and developmental interactions through the quantitative analysis of morphology, allowing for combin

152 The novel strategy was applied for quantitative analysis of mouse hepatic BMP and PG specie

153 is a promising alternative for simultaneous quantitative analysis of multiple miRNA in physiological

154 Direct quantitative analysis of multiple miRNAs (DQAMmiR) is a

155 Direct quantitative analysis of multiple miRNAs (DQAMmiR) utili

156 a CE-based hybridization assay termed direct quantitative analysis of multiple miRNAs (DQAMmiR).

157 study of eyelid epidermis, we show that the quantitative analysis of mutant clone size provides a ge

158 GIG enables quantitative analysis of N-glycans and O-glycans from a

159 ibrils can be tracked in 3D space, providing quantitative analysis of network descriptors such as fib

160 Quantitative analysis of neuronal morphology is critical

161 easibility of using the developed method for quantitative analysis of nonpolar as well as medium and

162 and clinical imaging equipment that enables quantitative analysis of normal cardiac contraction, dis

163 opulations of cells are necessary to support quantitative analysis of nuclear position.

164 to frameworks that allow for a process-based quantitative analysis of observed As behavior and for pr

165 Thus, we describe a protocol for quantitative analysis of oncogenic pathways in HCC biops

166 rrent LC-DMS-MIM workflow can be expanded to quantitative analysis of other molecules that have poor

167 Additional quantitative analysis of our dataset revealed a strong c

168 ere is still no proper method to perform the quantitative analysis of p-XSC in plasma.

169 Quantitative analysis of parafoveal capillary density an

170 The performance of the LC-DMS-MIM assay for quantitative analysis of pasireotide in human plasma was

171 mportance of seroprevalence data for precise quantitative analysis of pathogen propagation, to design

172 form for robust, efficient, and reproducible quantitative analysis of PC shape characteristics that c

173 Quantitative analysis of PDE10A expression was assessed

174 ecalactone as internal standard was used for quantitative analysis of pineapple lactones that was per

175 Quantitative analysis of pinellic acid in the raw flour

176 inference, but lack integrated functions for quantitative analysis of post-translationally modified p

177 The developed method was applied for quantitative analysis of PPI species present in diabetic

178 PXCE allows rapid method development for quantitative analysis of PPIs.

179 l as genetic editing techniques have enabled quantitative analysis of protein interactions, intracell

180 MP provides a framework for high-throughput, quantitative analysis of protein-DNA interactions on syn

181 A quantitative analysis of putative Arp2/3-mediated branch

182 Currently, we lack a large-scale quantitative analysis of ray parenchyma (RP) and axial p

183 ractions, which can be extracted through the quantitative analysis of resonance lineshapes.

184 Direct and global quantitative analysis of RNA modifications are among the

185 The visual and quantitative analysis of ROC and PR curves shows that me

186 Quantitative analysis of rosmarinic, o-coumaric and vani

187 fy how curvature forms, we developed QuASAR (quantitative analysis of sacculus architecture remodelin

188 Structural qualitative and quantitative analysis of SC inner wall by transmission e

189 Here we report the direct observation and quantitative analysis of single redox events on a modifi

190 We present a workflow for quantitative analysis of site specific glycoforms of IgG

191 h MetaQuery, a web application for rapid and quantitative analysis of specific genes in the human gut

192 l-free biosensors are ideally suited for the quantitative analysis of specific interactions among bio

193 the fundamental principles of SPR and basic quantitative analysis of SPR data, (2) previous applicat

194 a semianalytical model was implemented for a quantitative analysis of SPR under plane-wave illuminati

195 ed sensor was demonstrated its capability in quantitative analysis of squamous cell carcinoma antigen

196 aliana as a model plant to provide the first quantitative analysis of starch turnover in guard cells

197 aluated, and a specific method for the quali-quantitative analysis of steviol glycosides in S. rebaud

198 ein interaction and providing a platform for quantitative analysis of structural features.

199 Quantitative analysis of such interactions in vivo is es

200 no-ESI) emitters as a powerful tool for fast quantitative analysis of target analytes in biofluids.

201 Qualitative and quantitative analysis of target antibiotics were realize

202 focusing on new insights identified through quantitative analysis of temporal changes in Dorsal targ

203 fic anti IL-6 antibody was immobilized and a quantitative analysis of the amount of IL-6 captured by

204 Our aim was to perform a quantitative analysis of the axonal components of human

205 graphy (FMT)/CT in comparison to PET/MRI for quantitative analysis of the biodistribution of differen

206 Quantitative analysis of the cholinergic and noradrenerg

207 ate head tissue, affording a qualitative and quantitative analysis of the codling moth chemosensory r

208 nd nonlymphoid organs, as well as to perform quantitative analysis of the composition and tissue dist

209 Quantitative analysis of the Cu content trapped by the G

210 e nuclei and mitotic chromosomes, allowing a quantitative analysis of the DNA occupancy level and a s

211 In the quantitative analysis of the drug enalapril in pooled hu

212 Quantitative analysis of the dynamic cellular mechanisms

213 sholding in combination with qualitative and quantitative analysis of the effects of OCTA thresholdin

214 p and report on, to our knowledge, the first quantitative analysis of the factors and conditions that

215 barcoding PLGA, which enables simultaneous, quantitative analysis of the fate of multiple nanopartic

216 The quantitative analysis of the fine structure of intensity

217 95% sequence coverage for Env, provides semi-quantitative analysis of the glycosylation status at eac

218 initiation of dengue virus replication, but quantitative analysis of the interactions between the de

219 Through quantitative analysis of the interferograms, density pro

220 Quantitative analysis of the kinetics data within a Fick

221 new R/Bioconductor package called SIMAT for quantitative analysis of the levels of targeted analytes

222 Here, we report the construction and quantitative analysis of the longest sequestration-based

223 Quantitative analysis of the measured equation of state

224 his protocol describes a robust platform for quantitative analysis of the mechanisms associated with

225 Quantitative analysis of the most successful method gave

226 Quantitative analysis of the nexus between deforestation

227 ght with sufficient quality to permit a semi-quantitative analysis of the organic matter, showing the

228 ngle of the bilayer GBs is determined from a quantitative analysis of the phonon-scattering propertie

229 Quantitative analysis of the proteome of tankyrase doubl

230 Quantitative analysis of the QENS data showed that, at 2

231 Quantitative analysis of the R1 and R1rho values and of

232 Quantitative analysis of the signal intensity from both

233 perfuse tissue and collect the perfusate for quantitative analysis of the solutes introduced and reac

234 wide range of resolutions; we have termed it Quantitative Analysis of the Spatial distributions in Im

235 ave now developed specific protocols for the quantitative analysis of the transcript levels of HTTexo

236 e nonlinear behaviour and the systematic and quantitative analysis of the underlying mechanisms of th

237 From quantitative analysis of the X-ray dichroism, the orient

238 PD-L2, and of PD-L1 binding to B7-1 requires quantitative analysis of their interactions at the cell

239 A 3-channel FLIM assay and quantitative analysis of these markers for cellular meta

240 these systems and presents a new method for quantitative analysis of these nonlinear phenomena.

241 We also outline strategies for quantitative analysis of this modification in cells resp

242 approach we have also performed simultaneous quantitative analysis of three drugs (promethazine, enal

243 Our technique opens the door to quantitative analysis of time-dependent phenomena govern

244 UPLC-DAD-ESI-MS/MS systems were utilized for quantitative analysis of total phenol, flavonoid and ant

245 Subsequent quantitative analysis of total RNA from higher organisms

246 Quantitative analysis of transcriptional initiation via

247 This quantitative analysis of transinhibition, the first to o

248 d technique could provide a rapid and simple quantitative analysis of two protein samples in a mixtur

249 e spectroscopy confirmed the feasibility for quantitative analysis of ultratrace concentrations of ur

250 Bioavailability was assessed by the quantitative analysis of urinary flavanone metabolites a

251 Quantitative analysis of vertigo focused on the induced

252 fferent cellular components and to carry out quantitative analysis of vessel outgrowth.

253 er Ronne Ice Shelf (Weddell Sea) by means of quantitative analysis of video transects.

254 MBL-GS muPADs offer direct quantitative analysis of volatile and nonvolatile compou

255 nisation method suitable for qualitative and quantitative analysis of volatile and semi-volatile orga

256 Here we use quantitative analysis of Wnt, Hh, and Notch signalling r

257 Quantitative analysis of Wolbachia and Plasmodium sporoz

258 is one of the most commonly used methods for quantitative analysis on biochips.

259 T wave quantitative analysis on the 12-lead surface ECG provide

260 ed on this data set, we completed a detailed quantitative analysis on the sequence conservation patte

261 ity to manage, visualize, share, and perform quantitative analysis on these large amounts of image da

262 AMP on either a real-time PCR instrument for quantitative analysis, or in a water bath system for end

263 Further, quantitative analysis performed based on intra- and inte

264 tion of adverse effects of labeling, and new quantitative analysis procedures that significantly impr

265 trials were included in the qualitative and quantitative analysis, respectively.

266 Interestingly, quantitative analysis revealed predominant phosphorylati

267 Quantitative analysis revealed that a major long-term ci

268 Label-free quantitative analysis revealed that minor differences in

269 Quantitative analysis revealed that TCPM was the second

270 Quantitative analysis revealed that the numbers of ponti

271 Quantitative analysis revealed that the polyether chains

272 Quantitative analysis reveals liquid-phase dewetting of

273 Quantitative analysis reveals that during the fasted sta

274 Quantitative analysis reveals that the numbers of pontin

275 Quantitative analysis ruled out a posteriori explanation

276 From quantitative analysis, SE2 and XTR showed significantly

277 Quantitative analysis showed significantly higher levels

278 Quantitative analysis showed that the concentrations of

279 Quantitative analysis suggested potential correlations b

280 Our quantitative analysis suggests that potent oncogenic CAR

281 For quantitative analysis, the detection ranges were 0.26-3.

282 Quantitative analysis using a series of loss- and gain-o

283 This comprehensive qualitative and quantitative analysis using label-free approaches identi

284 Here, we developed a technique for quantitative analysis using multiplexing gas chromatogra

285 Subsequently, a quantitative analysis, using 30 heavy-labeled peptides f

286 (20-180 min), image processing (20 min) and quantitative analysis (variable timing).

287 Quantitative analysis was achieved by calculating the br

288 ome total ion current (pTIC) calculation for quantitative analysis was applied to several binary and

289 Quantitative analysis was based on parametric CVRC maps

290 The feasibility of quantitative analysis was explored, and a nonlinear rela

291 10, and alpha9/10 KOs appeared normal, but a quantitative analysis was not performed.

292 Quantitative analysis was performed by minimization of r

293 Quantitative analysis was performed for both datasets to

294 Due to study heterogeneity, no quantitative analysis was possible.

295 reening for 23 classes of PFASs, followed by quantitative analysis was used to investigate surface wa

296 Using live-imaging methods and quantitative analysis, we examine transcriptional bursti

297 Through quantitative analysis, we find that inhibiting self-posi

298 ave been used for years, their potential for quantitative analysis when directly combined with mass s

299 ne the probability of obtaining a successful quantitative analysis, which has its lower limit of chro

300 with 100's to 1000's of FOV enables unbiased quantitative analysis with high statistical power.