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1 ment of ciliary beating using particle image velocimetry.
2 lobal satellite imagery using particle image velocimetry.
3 lized and quantified using particle tracking velocimetry.
4 y quantified using high-speed particle image velocimetry.
5 oplets is measured using microparticle image velocimetry.
6 nking toroidal droplets using particle image velocimetry.
7 lood flow in the umbilical artery on Doppler velocimetry.
8 and missing leftward flow via particle image velocimetry.
9 -50, -70, and -120 mmHg, using laser Doppler velocimetry.
10 by near-infrared spectroscopy and electrical velocimetry.
11 B-mode contrast images with particle imaging velocimetry.
12 g droplets are explored by particle tracking velocimetry.
13 ized using fluorescence imaging and particle velocimetry.
14 ak systolic velocity was measured by Doppler velocimetry.
15 (T(Ao)) was measured by simultaneous Doppler velocimetry.
16 estigated using optical coherence tomography velocimetry, a technique that provides high spatial (pro
17     Here, we present artificial-intelligence velocimetry (AIV) to quantify velocity and stress fields
18                          Microparticle image velocimetry allowed mapping of the flow profile and demo
19 shear stress, we used microparticle tracking velocimetry analyzing more than 24,000 images of 0.5 mic
20 , which are observed by using particle image velocimetry and a pressure calculation algorithm applied
21 anges in fetal circulation, in terms of both velocimetry and actual blood flow measurements, and to c
22 n the channels were confirmed using particle velocimetry and compared well with values predicted usin
23 ocity fields were analyzed by particle image velocimetry and compared with simulations of the two-dim
24  during contraction by the particle tracking velocimetry and computational fluid dynamics simulations
25        Using molecular acoustics (ultrasound velocimetry and densimetry), pressure perturbation calor
26 isothermal titration calorimetry, ultrasound velocimetry and densimetry.
27 10) both in vivo by umbilical artery Doppler velocimetry and ex vivo by dual placental perfusion.
28  fluorescence cross-correlation spectroscopy velocimetry and finite element fluid dynamics simulation
29 ess inside the brain from the Particle Image Velocimetry and flexible sensor, respectively.
30                    We use time-resolved flow velocimetry and full-field birefringence microscopy to s
31 r using high-resolution 3D particle tracking velocimetry and Kelvin Probe Force Microscopy (KPFM).
32 nel was characterized by microparticle image velocimetry and minimized by using a horizontal Hele-Sha
33 maging techniques centered on particle image velocimetry and optical patternation are used to map and
34 nd can be functionally evaluated via Doppler velocimetry and reflectance colorimetry in vivo.
35                             Dynamical (e.g., velocimetry and transit timing) and statistical methods
36 n flows experimentally (using particle image velocimetry) and mathematically (using computational flu
37 approaches involving optical (Particle Image Velocimetry) and mechanical (flexible sensors) in the bi
38 flow velocity (APV) by intravascular Doppler velocimetry, and coronary blood flow (CBF) was calculate
39           Tissue cartography, particle image velocimetry, and dimensionality reduction techniques rev
40 ments for flow visualisation, particle image velocimetry, and flight tests, we characterised the flui
41     Blood flow was measured by laser Doppler velocimetry, and mucosal morphology was quantitatively e
42 ) K using in situ X-ray diffraction, Doppler velocimetry, and optical pyrometry.
43 amic differential microscopy, particle image velocimetry, and particle tracking to show that both act
44 and detection through phase-coherent Doppler velocimetry, and should ultimately allow force detection
45 t of abnormal umbilical artery (UmA) Doppler velocimetry, and slow fetal growth.METHODSWomen with sin
46 opulation quantification than Particle Image Velocimetry approaches.
47 ied in situ by astigmatism particle tracking velocimetry (APTV).
48 rography) and skin blood flow (laser Doppler velocimetry) as well as heart rate and blood pressure be
49                     Performing rheo-microMRI velocimetry at a high magnetic field with strong pulsed
50 cally active colloid using particle tracking velocimetry both in the freely swimming state and when k
51 CytoViva imaging system and a particle image velocimetry camera, which can capture images at speeds g
52 le tracking (PTV) and particle imaging (PIV) velocimetry cannot be applied to extract information fro
53 of a system referred to as the cell tracking velocimetry (CTV) to measure several hematological param
54 loped and reported instrument, cell tracking velocimetry (CTV), we are able to detect difference in H
55 uency (30 Hz) two-dimensional particle image velocimetry data recorded during a field experiment expl
56                                Time-resolved velocimetry data reveal signatures of rapid freezing fro
57 re used together with digital particle image velocimetry data to characterize the flow within the dev
58          Based solely on microparticle image velocimetry data, which are readily obtainable during th
59         More specifically, we use ultrasonic velocimetry, densimetry, and differential scanning calor
60 sh using a newly developed scuba-based laser velocimetry device.
61 lar, the technique of digital particle image velocimetry (DPIV) has revolutionized our ability to und
62  mixer performance using microparticle image velocimetry, dye quenching, and Forster resonance energy
63                         Erythrocyte mediated velocimetry (EMV) is a novel technique where indocyanine
64   Experimental analysis using particle image velocimetry enabled the characterization of shock veloci
65         The result, which we call Lagrangian velocimetry for intracellular net growth (LVING), provid
66                        Streak-based particle velocimetry in a tapered channel was used to assess part
67 s to data obtained using microparticle image velocimetry in cremaster-muscle arterioles of wild-type
68              Here we apply particle tracking velocimetry in gastrulating Drosophila embryos to measur
69 scometry and fluorescent microparticle image velocimetry in microvessels >20 microm in diameter.
70        Using fluorescent microparticle image velocimetry in venules and endothelialized cylindrical c
71  and particle image velocimetry (PIV), or US velocimetry, in participants with aortoiliac stenosis.
72 y measurements by magnetic resonance imaging velocimetry indicate that higher conductivity is not acc
73 Conclusion Blood flow quantification with US velocimetry is feasible in patients with an aortoiliac s
74                     Moreover, particle image velocimetry is used to study the in situ behavior of the
75  RMS', vRMS' ) recorded with Krypton Tagging Velocimetry (KTV) at 100 kHz in a hypersonic, turbulent,
76                             Particle Imaging Velocimetry measurements are used to demonstrate that a
77                       Complementary acoustic velocimetry measurements indicate that the microdomain f
78 , time-lapse microscopy and a particle image velocimetry method for computing tissue displacement fie
79 ution was determined by high-resolution flow velocimetry methods in both the laboratory and the natur
80          Our findings indicate that particle velocimetry methods must account for the wall-induced la
81 tive mixing action with micro particle image velocimetry (micro-PIV) and verified the purity and amou
82 ivo, we used fluorescent microparticle image velocimetry (micro-PIV) in mouse cremaster muscle venule
83 uter modeling and microscopic particle image velocimetry (micro-PIV) measurements.
84 ields were measured by a microparticle image velocimetry (micro-PIV) system.
85 on near-wall fluorescent microparticle image velocimetry (micro-PIV) was used in mouse cremaster musc
86    Both micrometer-resolution particle image velocimetry (micro-PMV) and particle tracking velocimetr
87 ing of individual cells and particle imaging velocimetry of cell populations.
88                     Second, particle imaging velocimetry of fluid motion around colonies immobilized
89                                              Velocimetry of the near surface flowing layer reveals th
90 lacental function is ultrasonic Doppler flow velocimetry of the umbilical and uterine arteries.
91       Overall, this work shows that 4D X-ray velocimetry opens the way to solve long-standing fundame
92 mparison studies of transthoracic electrical velocimetry or whole body electrical bioimpedance versus
93 ond the reach of conventional photon Doppler velocimetry (PDV) systems due to the need for extremely
94 mulations were validated with particle image velocimetry (PIV) across the atrioventricular (AV) canal
95 ractions in co-cultures using particle image velocimetry (PIV) analysis to quantify cell velocities o
96                         Using particle image velocimetry (PIV) data we estimated pressure fields to d
97 model was characterized using particle image velocimetry (PIV) in a flume.
98                               Particle image velocimetry (PIV) is a well-established tool to collect
99 composition (DMD) method from particle image velocimetry (PIV) like-data.
100 ssing the microbead images by particle image velocimetry (PIV) software.
101 tigated using a time-resolved particle image velocimetry (PIV) technique.
102 uid-structure simulation, and particle image velocimetry (PIV) tests were conducted to study the wake
103 oss-correlation functional of Particle Image Velocimetry (PIV) to assess the uncertainty of the measu
104 pe larvae when analyzed using Particle Image Velocimetry (PIV) to calculate the food particle velocit
105                  We also used Particle Image Velocimetry (PIV) to measure the midplane flow field aro
106 ed, high-resolution video and particle image velocimetry (PIV) to quantify kinematics and fluid dynam
107 nducted centrifuge tests with Particle Image Velocimetry (PIV) to simulate a staged deep-pit excavati
108             A high-resolution Particle Image Velocimetry (PIV) was used in a flume to observe the imp
109                         Using particle image velocimetry (PIV), intra-nuclear displacement fields can
110 st-enhanced US (HFR-CEUS) and particle image velocimetry (PIV), or US velocimetry, in participants wi
111 sing single-cell tracking and particle image velocimetry (PIV), we found that a defined averaged stat
112  learning and principles from particle image velocimetry (PIV).
113 ray (MEA), Ca(2+) cycling and particle image velocimetry (PIV).
114 field was studied by means of Particle Image Velocimetry (PIV).
115 of the suspension measured by particle image velocimetry (PIV).
116  (TIRF) imaging and iterative particle image velocimetry (PIV).
117 capture using holographic and particle image velocimetry (PIV).
118 and/or displacements has been particle image velocimetry (PIV); however, alternative methods exist, s
119  high-field magnetic resonance imaging (MRI) velocimetry platform, comprising a pressure controller c
120                        Photoacoustic Doppler velocimetry provides a major opportunity to overcome lim
121 tical microscopy either by particle tracking velocimetry (PTV) or by processing the microbead images
122 elocimetry (micro-PMV) and particle tracking velocimetry (PTV) techniques have been used to quantify
123                    We used particle tracking velocimetry (PTV-OCT) to investigate the cilia-driven fl
124          Here, we develop quantitative phase velocimetry (QPV) as a label-free approach to make the i
125                        Our visualization and velocimetry results reveal that the majority of droplets
126 croscopy, immunostaining, and particle image velocimetry reveal that the density of leader cells and
127                            Particle tracking velocimetry revealed a direct coupling between arterial
128  analysis was performed using particle image velocimetry software.
129                 We suggest our cell tracking velocimetry system can reveal more information regarding
130 olunteers were analyzed by the cell tracking velocimetry system, and the calculated Hb concentration
131  measured using a modified particle tracking velocimetry system, developed in-house and called a cell
132 s into the flow, using a microparticle image velocimetry technique.
133     The recent ignition in ICF calls for new velocimetry that can measure velocities exceeding 100 km
134  rufus) obtained with digital particle image velocimetry that show force asymmetry: hummingbirds prod
135               We show by microparticle image velocimetry that the particle reorientation in the expan
136                         Using Particle image velocimetry, the cell motions are monitored for twelve h
137       We propose the artificial intelligence velocimetry-thermometry (AIVT) method to reconstruct a c
138 directly derives quantitative flow data i.e. velocimetry through methods and algorithms liable to lim
139                        We used optical plume velocimetry to estimate the velocity of fluids issuing f
140 s and demonstrates the use of particle image velocimetry to investigate chemical reactions in porous
141                        We use particle image velocimetry to measure a multidimensional migration phen
142 ular wall displacement and particle tracking velocimetry to monitor intracardiac blood flow.
143                   Here we use Particle Image Velocimetry to quantify the statistical properties of Ki
144              By using digital particle image velocimetry to visualize fluid flow induced by foot move
145 rements using the tomographic Particle Image Velocimetry (tomo-PIV) technique provide insight into co
146 extended x-ray absorption fine structure and velocimetry up to 1 Terapascal.
147             Our data demonstrates optimal 2D velocimetry up to 10 mm/s flow and spatial resolution do
148 ra, was used to perform micro-particle image velocimetry (uPIV) to reconstruct velocity and shear str
149  and flow visualization using particle image velocimetry validated the corresponding fluid dynamics o
150 er than flowing around it, by particle image velocimetry visualization of the flow around three-dimen
151                     Transthoracic electrical velocimetry was considered inferior in six of nine studi
152                                     Particle velocimetry was used to map the mass movement of microtu
153                   By means of particle image velocimetry, we describe the fluid disturbances produced
154      Using in situ underwater particle image velocimetry, we found that the pulsation motions thrust
155                         Using Particle Image Velocimetry, we identify posteriorwards Myosin II flows
156 anced image analysis based on particle image velocimetry, we show that fertilization induces rhythmic
157 velopment of a new technology, cell tracking velocimetry, we were able to measure the migration veloc
158 arteriolar diameters, and A1 flow by Doppler velocimetry were measured.
159 ent by means of stereo-scopic particle image velocimetry were quantified in both FTR and post-repair
160          In vivo videomicroscopy and Doppler velocimetry were used to assess terminal ileal microvasc
161                     Transthoracic electrical velocimetry/whole body electrical bioimpedance may be ac
162 dies concluded that transthoracic electrical velocimetry/whole body electrical bioimpedance was nonin
163 ere we demonstrate its utility in blood cell velocimetry within the embryonic zebrafish brain and in
164                                        X-ray velocimetry (XV) is a novel imaging technique that allow
165              PCXI, when paired with 4D X-ray Velocimetry (XV), can measure regional lung function and

 
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