ライフサイエンスコーパス: image processing

1 orders, much like strategies used in digital image processing.

2 avoid potential errors caused by inaccurate image processing.

3 the earliest, pre-attentive stage of visual image processing.

4 be visualized and quantified with the use of image processing.

5 ar (<0.5 mV) were quantified with the use of image processing.

6 yo-electron tomography (CET) and statistical image processing.

7 rcuits, ssTEM will require the automation of image processing.

8 I molecules were analyzed by single particle image processing.

9 ty and alignment were measured using digital image processing.

10 tively stained specimens and single-particle image processing.

11 density microscopic analysis with simplified image processing.

12 procedures for automated data collection and image processing.

13 cryoelectron microscopy, and single-particle image processing.

14 t segments that are used for single-particle image processing.

15 construction was obtained by single-particle image processing.

16 ation, sample preparation, hybridization and image processing.

17 graphs of negatively stained preparations by image processing.

18 Aggregate sizes were determined using image processing.

19 electron cryomicroscopy and single-particle image processing.

20 igated using electron microscopy and digital image processing.

21 ave studied it using electron microscopy and image processing.

22 ctron microscopy followed by single particle image processing.

23 nstructions were obtained by single particle image processing.

24 erfusion were clearly seen, without need for image processing.

25 nal imaging is superior on SE, with improved image processing.

26 epifluorescence video microscopy and digital image processing.

27 easily detectable by electron microscopy and image processing.

28 HSV-1 virions by electron-cryomicroscopy and image processing.

29 means of cryoelectron microscopy and helical image processing.

30 yme were revealed by electron microscopy and image processing.

31 ntrast video microscopy coupled with digital image processing.

32 gnals by fluorescence microscopy and digital image processing.

33 that can autonomously perform the necessary image processing.

34 es require careful mathematical analysis and image processing.

35 IR improves image quality through cyclic image processing.

36 an important research topic in the field of image processing.

37 ng (20 min), image acquisition (20-180 min), image processing (20 min) and quantitative analysis (var

38 the result of direct electron detectors and image processing advances.

39 ective real-time cardiac gating approach, an image processing algorithm for motion-artifact-free imag

40 The software implements an image processing algorithm using a novel combination of

41 of the captured images was determined by an image processing algorithm.

42 We implemented an image-processing algorithm to analyze the spatiotemporal

43 An image-processing algorithm was developed to identify the

44 aried are then processed by a Fourier filter image-processing algorithm.

45 ort a smartphone-based device and associated imaging-processing algorithm to maximize the sensitivity

46 of-care (POC) analysis and ii) two dedicated image processing algorithms for the real-time and quanti

47 itated at higher levels of accuracy by using image processing algorithms that take characteristics of

48 tracted are severely limited by the specific image processing algorithms that the application impleme

49 This model combines automata approaches with image processing algorithms to simulate the cellular res

50 nation of the extended multiscale model, new image processing algorithms, and biological experiments

51 Further improvements in image processing algorithms, labeling techniques, correl

52 By suitable application of image processing algorithms, semiautomated correlation b

53 generated based on the new PLSR models using image processing algorithms.

54 ollection of pattern recognition and digital image processing algorithms.

55 Concomitant image-processing algorithms are utilized to convert the

56 Three image-processing algorithms were applied to the digital

57 developments in both hardware technology and image-processing algorithms.

58 be a complete workflow for data acquisition, image processing, all-atom modelling and validation of b

59 Major advances in data acquisition and image processing allowed a significant improvement in re

60 Image processing allowed the extraction of limited struc

61 The developed image-processing allows reducing the influence of the li

62 herefore, we include a detailed workflow for image processing and analysis (including MATLAB code), s

63 and spectroscopy in conjunction with digital image processing and analysis in a rabbit model.

64 rent systems require time-consuming off-line image processing and analysis on multiple software platf

65 oscopy, an advanced high-throughput cellular image processing and analysis technique, was utilized in

66 ion of live confocal imaging and an array of image processing and analysis tools, revealing multiple

67 Image processing and analysis were performed using stati

68 throughput microscopy systems and subsequent image processing and analysis.

69 gh-speed light sheet microscopy and tailored image processing and analysis.

70 pecimen preparation, multicolor QD staining, image processing and biomarker quantification.

71 However, despite great progress in image processing and computer vision, current computatio

72 Image processing and continuum kinematics were used to q

73 Image processing and coregistration were performed using

74 asuring the change in sample viscosity using image processing and correlation-based algorithms.

75 Developments in MRI acquisition, image processing and data modeling have been key to thes

76 ifferentiated A-line strategy, and real-time image processing and display algorithms.

77 The inquiry is based on new methods for image processing and document analysis, as well as machi

78 Efficient image processing and feature extraction are prerequisite

79 Real-time image processing and feedback allow the design and imple

80 Using quantitative image processing and mathematical modeling, we demonstra

81 ethod to evaluate LMC and MC of apples using image processing and multilayer neural networks (NN) pre

82 n one open-source software for user-friendly image processing and multivariate analysis of HPTLC chro

83 ese related problems by borrowing ideas from image processing and optimization theory.

84 life, such as planning an efficient travel, image processing and optimizing integrated circuit desig

85 ides a unique tool for polarization imaging, image processing and particle trapping.

86 rmation content using custom high-throughput image processing and segmentation.

87 hese issues, we develop a suite of tools for image processing and spectral data analysis that is base

88 Image processing and statistical algorithms were develop

89 approach also performs a series of advanced image processing and text mining operations to comprehen

90 ng cryo-electron microscopy, single particle image processing and three-dimensional reconstruction wi

91 ical memory effect that uses a deconvolution image processing and thus it does not require iterative

92 Image processing and visualization techniques allowed us

93 es, we provide techniques and algorithms for image processing and waveform feature extraction using a

94 , magnetic resonance (MR) imaging technique, image processing and/or analysis and computer science, n

95 Spatial interpolation is well established in image-processing and visualization to describe the overa

96 the main hurdle being the shortage of robust imaging processing and analysis tools.

97 g using biological examples from statistics, image processing, and data analysis.

98 orithms in open-source software, rewiring an image processing application requires a high degree of e

99 aucoma and allow the application of advanced image processing applications.

100 Contemporary image processing approaches were used to develop a regio

101 Several algorithmic advances in speckle image processing are described enabling the analysis of

102 tive elongation with a novel method based on image processing, as well as the production rates of cor

103 abolic equations for image intensity used in image processing assume a special degenerate asymptotic

104 complex (PIC) was determined by cryo-EM and image processing at a resolution of 6-11 A.

105 re free to choose between various methods of image processing, background correction and normalizatio

106 se coding algorithm, we also perform natural image processing based on a learned dictionary.

107 gic scotomas appears to involve higher level image processing-based mechanisms that operate even when

108 ted computations that are thought to require image processing by many successive cortical areas.

109 Paired with advancements in volumetric image processing, C-DSLM provides a robust methodology t

110 asured fluorescent intensities subsequent to image processing can be assumed to reflect the signal in

111 from surface artifacts and debris, although image processing can partially compensate for background

112 consists of an optical system, receptors and image-processing capacity, has existed for at least 520

113 tion (magnification) ratios, postacquisition image processing, color calibration, compression, output

114 nd the flesh fly (Sarcophaga)) combined with image processing confirm that the same A-band superlatti

115 ted tomography (CT) and graphical volumetric image processing, CT angiography was born 20 years ago.

116 been an increasing focus on developing novel image processing, data mining, database and visualizatio

117 The complex motion image processing deficit we identified is likely to have

118 Image processing edge detection algorithms perform such

119 nces in probe design, imaging technology and image processing, enable the absolute measurement of tra

120 Recent advances in image processing enabled by the computational power of m

121 We conclude that duplex IHC and digital image processing extend current approaches of truncated

122 cally localized fluorescent gene markers and image processing for automated quantitative analysis of

123 nalysis and fluorescence imaging followed by image processing for fluorescence quantification using I

124 Biological image processing has been hypothesized to adopt a coarse

125 ation of medical devices and the progress in image processing have allowed the development of a multi

126 Recent advances in transducer technology and image processing have led to the development of two tech

127 The existing tools for spectral image processing, however, are insufficient for processi

128 e analyses can be further completed by using image processing in a smartphone.

129 nal magnetic resonance imaging and performed image processing in parallel with acquisition.

130 In addition, lower-resolution MRI and image processing in prior studies may have limited detec

131 lar (BP) cells mediate the earliest steps in image processing in the visual system, but the genetic p

132 ins challenging, and relies on sophisticated image processing, in particular for template-free partic

133 arge datasets are emerging in many fields of image processing including: electron microscopy, light m

134 ribed for imaging using a CCD camera and for image processing, incorporating corrections for fixed pa

135 l microangiography (OMAG) algorithm used for image processing (intensity and/or phase) and type of re

136 FA images were separated by semiautomatic image processing into arterial and venous trees.

137 One of the major goals in biomedical image processing is accurate segmentation of networks em

138 y of meta-atoms, and direct demonstration of image processing is challenging.

139 is based on raw data acquisition followed by image processing, is here demonstrated for both cardiac

140 tion, extracted from high-resolution optical image processing, is shown to be associated with recorde

141 low, Doppler tissue imaging, and model-based image processing (MBIP) of E waves.

142 Two masked observers, with the use of image processing, measured the area of hyperfluorescence

143 3D structures can be determined, by using an image processing method commonly known as "single-partic

144 estoration in bright field (QRBF), a digital image processing method that restores out-of-focus BF im

145 pretation accuracy was not influenced by the image-processing method.

146 to characterize dust particles, the current image processing methodology limits the number of partic

147 egrating extensive RNAi with high-throughput image-processing methodology and mathematical modeling,

148 e potentially used to improve the results of image processing methods as a complementary tool in auto

149 Here, we describe digital image processing methods that we have devised for automa

150 or this study, we have developed imaging and image processing methods to quantify several transport p

151 uction, obtained by using recently developed image processing methods, of the rotavirus inner capsid

152 post-processing FFAS alignment matrices with image processing methods.

153 None of the three image-processing methods tested affected the AUC, sensit

154 imaging by electron tomography, and improved image-processing methods.

155 in subject samples, scanning procedures, and image-processing methods.

156 resting state functional magnetic resonance imaging processing methods to calculate whole-brain conn

157 However, an image-processing model with weighted banks of Gabor filt

158 through the use of small, relatively simple image processing modules connected into sophisticated im

159 automated analysis program that incorporates image processing, morphological feature extraction, and

160 evant to microarray data analysis, including image processing, normalization, error modeling, combini

161 Image processing of Deltap4Gag tubes revealed a hexagona

162 as determined by cryoelectron microscopy and image processing of frozen-hydrated helical crystals.

163 esults of a study by electron microscopy and image processing of Gag protein shells-immature capsids-

164 s determined by cryo-electron microscopy and image processing of helical crystals to a nominal resolu

165 s determined by cryo-electron microscopy and image processing of helical crystals to a nominal resolu

166 Automated image processing of immunohistochemical images was used

167 that negative-stain electron microscopy and image processing of nucleotide-free (apo) striated muscl

168 to aid researchers entering the field of 3D image processing of plant cells and tissues and to help

169 Here, using electron microscopy and image processing of tagged and truncated Dictyostelium c

170 However, bottlenecks in imaging and image processing often make it difficult to differentiat

171 Multiple sequential image processing only detects slow components of membran

172 nse feature-based classification and employs image processing only.

173 By using optical instead of digital image-processing operations, we removed the need to capt

174 a series of technical innovations in CT and image processing, over the next 5-15 years, CT angiograp

175 esent SuperSegger, an automated MATLAB-based image processing package well-suited to quantitative ana

176 Interactive image processing permits efficient, accurate, computer-a

177 take into account individual differences in image processing, phosphene distribution and rehabilitat

178 In conclusion, we have developed a new image processing pipeline and applied it to a CHD patien

179 This study aimed to: (1) develop a new image processing pipeline for constructing patient-speci

180 micro-dissector (multFYLM) and an associated image processing pipeline for performing high-throughput

181 We (1) developed an automated image processing pipeline to reconstruct 3D anatomical l

182 ined with light sheet microscopy and a novel image processing pipeline, for the 4D profiling of chemo

183 be enhanced with multiple steps that form an image processing pipeline.

184 moothing and reference region selection) and image processing pipelines.

185 ing automated fluorescence microscopy and an image processing platform, revealed that the essential D

186 works have been successfully applied to many image-processing problems in recent works.

187 re to guide the solution of more complicated image-processing problems.

188 proach for evaluating the quality of images, image-processing procedures, or three-dimensional struct

189 ImageJ, a free and open source image processing program was used for quantitative measu

190 scope movies of living cells are fed into an image-processing program, which generates two-dimensiona

191 A digital image processing protocol was developed to measure the a

192 photon microscopy, to 3D cell tracking using image processing, registration of tracking data and thei

193 Image processing researchers can extract images and scor

194 : deposition gain d, labeling gain, and post-image-processing residual noise.

195 Single-particle image processing resolved three distinct conformations o

196 ith an additional mass selection step during image processing, resulted in lower resolution structure

197 ng the potential errors caused by inaccurate image processing results (e.g., boundary segmentation),

198 ectron microscopy images and single-particle image processing revealed that, in a relaxed state, myos

199 Image processing reveals a characteristic head region mo

200 spectroscopy (NanoSIMS) and a novel digital image processing routine adapted from remote sensing (co

201 A program was developed that used image-processing routines to identify stromal cell nucle

202 ck of standardized algorithm definitions and image processing severely hampers reproducibility and co

203 s paper employing the combined capillary and image processing signal amplification is capable of meas

204 g) through an office scanner and open source image processing software (GIMP) the concentration of gl

205 Image processing software analyzes the worm's position i

206 Because the image processing software can discriminate among events

207 Image processing software enumerates events and analyzes

208 We have successfully implemented an image processing software package to automatically analy

209 ns are readily available in a large array of image processing software packages and programming langu

210 , we present an implementation of the RELION image processing software that uses graphics processors

211 te succinimidyl ester (CFDA SE), after which image processing software was used to determine the area

212 An image processing software was used to manually draw segm

213 Freesurfer image processing software was used to measure cortical t

214 burden was quantified in enucleated eyes by image processing software, and microvascular density was

215 ant extracts, with data analysis by means of image processing software.

216 y images using a scanner in conjunction with image processing software.

217 rientation of the optical volume with common image processing software.

218 e based on linear sine-wave gratings and how image-processing software can be used to better understa

219 Advances in detector hardware and image-processing software have led to a revolution in th

220 Recent developments in detector hardware and image-processing software have revolutionized single par

221 Computation here is performed using the image-processing software SPIDER and can be managed usin

222 rements that is facilitated by user friendly image-processing software to automatically detect and an

223 Images were analyzed with image-processing software to obtain linear, area, and vo

224 Digital-image-processing software uses contrast sensitivity data

225 of a Charge-Coupled Device (CCD) camera and image-processing software.

226 In the visual system, diverse image processing starts with bipolar cells, which are th

227 trained backPRojection (HYPR) is a promising image-processing strategy with widespread application in

228 nalysis techniques: (i) an in-flow automated image processing system to enumerate cells released, (ii

229 We have used an automated tracking and image processing system to obtain measurements of a wide

230 ng characteristics of the FPD and associated image processing system were assessed on acquired images

231 A new BS imaging processing system that can suppress the conspicu

232 tereo visualization to improve the low level image processing tasks.

233 d calibration tools and utilities for common image processing tasks.

234 A depth-from-defocus image processing technique is developed to track the out

235 rement into 3D three-dimensional by using an image-processing technique was shown in an in utero plac

236 deriving this structure, we have adapted an image-processing technique, single-particle reconstructi

237 ve female patients were examined by using an image-processing technique.

238 nt advances in machine vision technology and image processing techniques (and contrary to the claims

239 enean species identification by implementing image processing techniques and machine learning methods

240 chitecture we present here utilizes standard image processing techniques and the multi-tiered applica

241 This may be accomplished by employing image processing techniques coupled with multivariate da

242 The analysis of these structures using image processing techniques has provided an initial esti

243 ties, we set out to investigate and optimize image processing techniques to measure changes in mouse

244 mbryo, it then combines machine learning and image processing techniques to produce classifiers that

245 Image processing techniques were used to create 3-D reco

246 istochemistry, confocal microscopy, and post-image processing techniques were used to quantify the nu

247 diffusion-weighted imaging, post-acquisition image processing techniques, and quantification of imagi

248 The medical imaging and image processing techniques, ranging from microscopic to

249 cryo-electron microscopy and single particle image processing techniques, we present the first three-

250 orded, it can be displayed by using computer image-processing techniques to allow arbitrary settings

251 e developed LeafAnalyser, software that uses image-processing techniques to greatly simplify the meas

252 Quantitative models and image-processing techniques were developed for statistic

253 Improved electron detectors and image-processing techniques will allow the structures of

254 zes the neuron image using two complementary image-processing techniques, capturing fine terminal neu

255 protein flexibility, rather than imaging or image-processing technologies, now represent the major b

256 s compared with manual analysis by a trained image-processing technologist.

257 d compared with manual analysis by a trained image-processing technologist.

258 luation manually applied by a highly trained image-processing technologist.

259 the extraction of anisotropy data through an image-processing technology that decreases the error in

260 onfocal laser scanning microscopy coupled to image processing that enables the 3-dimensional reconstr

261 urve-based topography imaging and subsequent image processing that enhances local height differences.

262 Using image processing, the change in body size was quantified

263 Through image processing, the combined (18)F/(18)F-FDG scan yiel

264 stals and projection maps were determined by image processing to 7A resolution.

265 Here we report the use of high-throughput image processing to capture rich SAM size variation with

266 al (Ve) to compute Im, we utilized nonlinear image processing to compute the required second spatial

267 used cryo-electron microscopy (cryo-EM) and image processing to determine the lateral and radial arr

268 plemented a block-based method for automated image processing to extract a representative list of pla

269 hin sperm, using cryoelectron tomography and image processing to focus on the motor enzyme dynein.

270 We have used cryo-electron microscopy and image processing to obtain three-dimensional structures

271 ere we use microcinematography and automated image processing to quantify several transient features

272 Here we use electron microscopy and image processing to reveal new structural details of dyn

273 used electron microscopy and single-particle image processing to study head conformation in myosin V

274 sitive contrast material and postacquisition image processing to subtract out the ingested opacified

275 viduals with extensive experience in cardiac image processing, to assess reproducibility of the quant

276 The open source software based image processing tool allowed undistorted signal modulat

277 ), as well as the Statistics Toolbox 4.1 and Image Processing Toolbox 4.1 for MATLAB or more recent v

278 hree metrics we present here are designed as image processing tools to discriminate acini from sphero

279 umetric nondestructive imaging technique and image processing tools to separate individual acini in t

280 Specially, a group of image processing tools were integrated into aBEAT, inclu

281 ocal laser scanning microscopy with advanced image-processing tools and fluorescence fluctuation meth

282 To control for DT imaging-processing variability, patients' values were no

283 his paper, we developed a suite of automated image processing, visualization, and classification algo

284 based on droplet encapsulation and real-time image processing was developed to analyze fluorescence e

285 Image processing was done using FreeSurfer Version 5.1.

286 A straightforward image processing was then established to compute the top

287 Image processing was used to determine the temporal and

288 Morphological image processing was used to skeletonize the trabecular

289 Digital image processing was used to visualize cells that harbor

290 -time prospective tracking and retrospective image processing, was used collect high-resolution image

291 Using electron microscopy and image processing we show that eukaryotic RNase P and RNa

292 Using cryo-electron microscopy and image processing, we calculated the structure of a K5 mo

293 mensional helical reconstruction methods for image processing, we determined the structure of the CFA

294 cryo-electron microscopy and single-particle image processing, we have determined the 3D difference m

295 series of such images, together with simple image processing, we have effectively reduced this to a

296 Using statistical image processing, we identified the features of mental r

297 Using electron microscopy and image processing, we obtained three-dimensional density

298 EX(2), an automatic system for embryonic ISH image processing, which can extract, transform, compare,

299 at a worm-by-worm resolution using a custom image processing workflow.

300 Dedicated image processing workflows are developed to allow detect