ライフサイエンスコーパス: image processing

1 tently arise if NCP asymmetry is lost during image processing.

2 that can autonomously perform the necessary image processing.

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

4 avoid potential errors caused by inaccurate image processing.

5 Aggregate sizes were determined using image processing.

6 es require careful mathematical analysis and image processing.

7 tect distinct amplitudes of oscillations via image processing.

8 IR improves image quality through cyclic image processing.

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

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

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

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

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

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

15 I molecules were analyzed by single particle image processing.

16 ty and alignment were measured using digital image processing.

17 edback onto photoreceptors and contribute to image processing.

18 om a digital phantom, without any additional image processing.

19 W-AF; 532 nm, UWF-AF and 787 nm, NIR-AF) and image processing.

20 ntain height was estimated by thermal camera image processing.

21 culture-media samples followed by automated image processing.

22 electron cryo-tomography and single-particle image processing.

23 eural tissue that senses light and initiates image processing.

24 and ~50 per mille at the 1.5 mum scale using image processing (1sigma).

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

26 a new library providing hardware-accelerated image processing accessible from interpreted languages i

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

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

29 t phone and processed using a custom written image processing algorithm to automatically quantify the

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

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

32 Here, we use a new image-processing algorithm to measure ocular dominance p

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

34 icroscopy for adherent cells, using improved image processing algorithms and automated cell-tracking

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

36 evaluating the resolving capability of such image processing algorithms that are now central to the

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

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

39 sensitive cameras and often requires complex image processing algorithms to analyze.

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

41 We designed new automated image processing algorithms used to demonstrate that LPS

42 The dedicated image processing algorithms were used for extraction of

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

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

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

46 the resolving capabilities of location-based image processing algorithms.

47 Concomitant image-processing algorithms are utilized to convert the

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

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

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

51 ion mass spectrometry analyses and dedicated image processing, allows us to image how resources are p

52 ied blood droplets, developing sophisticated image processing analysis routines and optimising a mult

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

54 In summary, this image processing and analysis software makes histo-cytom

55 he integration of unbiased computer assisted image processing and analysis tools, provided the platfo

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

57 throughput microscopy systems and subsequent image processing and analysis.

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

59 advancements in deep learning for automated image processing and classification have accelerated man

60 This study uses image processing and computer vision steps to automatica

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

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

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

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

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

66 Efficient image processing and feature extraction are prerequisite

67 gh a combination of time-stretch microscopy, image processing and feature extraction, followed by dee

68 ive analysis has been applied extensively to image processing and interpretation in nuclear cardiolog

69 Using quantitative image processing and mathematical modeling, we demonstra

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

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

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

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

74 -based fluorescence microscope and automated image processing and particle counter software were deve

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

76 ications involving complex processes such as image processing and pattern recognition.

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

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

79 tal architectures in specific tasks, such as image processing and speech recognition.

80 Image processing and statistical algorithms were develop

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

82 free software (Thermofilm) was developed for image processing and the results were compared with the

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

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

85 Image processing and visualization techniques allowed us

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

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

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

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

90 present a complete multi-sample preparation, imaging, processing and analysis workflow to determine t

91 al networks (CNNs) have become ubiquitous in image processing, and are rapidly becoming more common i

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

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

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

95 Alternatively, image processing approaches can be utilized to improve t

96 Contemporary image processing approaches were used to develop a regio

97 d preparation, data collection strategy, and image processing, are discussed.

98 s have many applications in social networks, image processing, artificial intelligence, computational

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

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

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

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

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

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

105 ssessment as they are sensitive to system or image processing changes.

106 allowing us to identify six structures using image processing classification methods.

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

108 ric approach can yield new insights into the image processing computations taking place in early visu

109 of a patient with lung cancer and predefined image processing configurations.

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

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

112 ay of areas including imaging system design, image processing, data science, machine learning, comput

113 Image processing edge detection algorithms perform such

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

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

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

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

118 ribution of foods in real-time using dynamic image processing for simulating actual eating situations

119 modeling framework we developed a microscopy image processing framework capable of mechanistic charac

120 Biological image processing has been hypothesized to adopt a coarse

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

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

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

124 ss-linking functions in Zeiss Zen Black with image processing in FIJI.

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

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

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

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

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

130 s through convolutional neural network-based image processing, including relative area under the curv

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

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

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

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

135 Computational image processing is essential for extracting quantitativ

136 Image processing is used to enhance apparent field marks

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

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

139 3D structures can be determined, by using an image processing method commonly known as "single-partic

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

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

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

143 Signal and related image processing methods offer a rich source of alternat

144 Contemporary image processing methods require extensive tuning of seg

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

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

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

148 it will pose a greater challenge to existing image processing methods.

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

150 eled cryo-ET dataset and evaluating existing image processing methods.

151 R screening and automated DR detection using image processing methods.

152 st and optimize the performance of the above image processing methods.

153 ng to recover such information with existing image processing methods.

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

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

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

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

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

159 the spectral-correlation interferometry and image processing of a microarray glass biochip, affordab

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

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

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

163 al component analysis (PCA) was employed for image processing of the data.

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

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

166 udes GPU-accelerated support for most common image processing operations in 2-D and 3-D and is easily

167 Image processing operations supported in Cytokit are gen

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

169 uninitiated users with little experience in image processing or color science and does not require f

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

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

172 ns with results obtained using commonly-used image processing packages demonstrate that DeepSynth pro

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

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

175 Additionally, we introduce a ready-to-use image processing pipeline built upon the CAT12 toolbox i

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

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

178 We also developed an image processing pipeline for segmentation and classific

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

180 of astrocytes, we introduce a new automated image processing pipeline whose main novelties include a

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

182 With a dedicated image processing pipeline, PB-X-PCI images are analysed

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

184 it offers (i) an end-to-end, GPU-accelerated image processing pipeline; (ii) efficient input/output (

185 ncludes the design and the implementation of image processing pipelines able to deal with diverse mot

186 nicate with computer scientists in designing image processing pipelines and applying these tools to t

187 fited from enhanced computational models and image processing pipelines that could also improve data

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

189 We developed image-processing pipelines to analyse patterns in root t

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

191 To leverage the image-processing power inherent in CNNs, we treat protei

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

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

194 works have been successfully applied to many imaging processing problems involving big data, and have

195 nstrumentation and labor-intensive assay and image processing procedures, which limit automation and

196 ements for time-consuming and user-dependent image processing procedures.

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

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

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

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

201 Image processing researchers can extract images and scor

202 Single-particle image processing resolved three distinct conformations o

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

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

205 Image processing reveals a characteristic head region mo

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

207 nerated by each cardiac cycle using a robust image processing routine, and (2) process intensity data

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

209 tein combined with a simple illumination and image-processing scheme, we demonstrate the utility of t

210 atory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inn

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

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

213 for biologists to understand the concepts in image processing so that they can communicate with compu

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

215 Image processing software analyzes the worm's position i

216 was written as a plug-in for the open source image processing software ImageJ.

217 Standard fetal MRI with open-source image processing software is a reliable method of genera

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

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

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

221 An image processing software was used to manually draw segm

222 Freesurfer image processing software was used to measure cortical t

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

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

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

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

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

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

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

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

231 useful, a radiomic feature must be robust to image processing steps, which has made robustness testin

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

233 luorescence imaging along with computational image processing, surface plasmon resonance, Raman spect

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

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

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

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

238 alization performance on multiple histologic image processing tasks.

239 No image processing technique analyzed consistently resulte

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

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

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

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

244 For each image, contrast adjustments, 3 image processing techniques (linear registration, histog

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

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

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

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

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

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

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

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

253 has been hindered partly by nonstandardized image processing techniques, which can be operator and a

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

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

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

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

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

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

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

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

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

263 camera feed from the smartphone and built-in image processing, the nrLFA is identified and RBC fluid

264 ness of this proposed method for topological image processing through a case-study of unsupervised se

265 algorithm and software design that result in image processing times that are tenfold to several thous

266 cal Image Modification (TIM) and Topological Image Processing (TIP) for object detection.

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

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

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

270 on local binary patterns (MLBP) adapted from image processing to extract local 'texture' changes from

271 en preparation and data acquisition prior to image processing to generate high quality images that ar

272 y using agent-based Monte Carlo modeling and image processing to generate the pseudo-null distributio

273 ative analysis requires automated methods of image processing to identify and characterize individual

274 we report optimizing cryo-EM tomography and image processing to improve crown resolution from 33 to

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

276 lie many important computational tasks, from image processing to speech recognition, artificial intel

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

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

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

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

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

282 tes that synchrotron PB-X-PCI, combined with image processing tools, is a powerful technique for mult

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

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

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

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

287 Image processing was done using FreeSurfer Version 5.1.

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

289 Image processing was used to determine the temporal and

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

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

296 onvolutional neural networks and atlas-based image processing were used for extraction of 11 imaging

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

298 integrated with IMS data through multimodal image processing with advanced registration techniques a

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

300 Dedicated image processing workflows are developed to allow detect