ライフサイエンスコーパス: velocimetry

1 oplets is measured using microparticle image velocimetry.

2 nking toroidal droplets using particle image velocimetry.

3 and missing leftward flow via particle image velocimetry.

4 lood flow in the umbilical artery on Doppler velocimetry.

5 -50, -70, and -120 mmHg, using laser Doppler velocimetry.

6 B-mode contrast images with particle imaging velocimetry.

7 g droplets are explored by particle tracking velocimetry.

8 ized using fluorescence imaging and particle velocimetry.

9 ak systolic velocity was measured by Doppler velocimetry.

10 (T(Ao)) was measured by simultaneous Doppler velocimetry.

11 estigated using optical coherence tomography velocimetry, a technique that provides high spatial (pro

12 Microparticle image velocimetry allowed mapping of the flow profile and demo

13 shear stress, we used microparticle tracking velocimetry analyzing more than 24,000 images of 0.5 mic

14 , which are observed by using particle image velocimetry and a pressure calculation algorithm applied

15 anges in fetal circulation, in terms of both velocimetry and actual blood flow measurements, and to c

16 n the channels were confirmed using particle velocimetry and compared well with values predicted usin

17 ocity fields were analyzed by particle image velocimetry and compared with simulations of the two-dim

18 during contraction by the particle tracking velocimetry and computational fluid dynamics simulations

19 Using molecular acoustics (ultrasound velocimetry and densimetry), pressure perturbation calor

20 isothermal titration calorimetry, ultrasound velocimetry and densimetry.

21 10) both in vivo by umbilical artery Doppler velocimetry and ex vivo by dual placental perfusion.

22 fluorescence cross-correlation spectroscopy velocimetry and finite element fluid dynamics simulation

23 We use time-resolved flow velocimetry and full-field birefringence microscopy to s

24 nel was characterized by microparticle image velocimetry and minimized by using a horizontal Hele-Sha

25 maging techniques centered on particle image velocimetry and optical patternation are used to map and

26 nd can be functionally evaluated via Doppler velocimetry and reflectance colorimetry in vivo.

27 Dynamical (e.g., velocimetry and transit timing) and statistical methods

28 flow velocity (APV) by intravascular Doppler velocimetry, and coronary blood flow (CBF) was calculate

29 Blood flow was measured by laser Doppler velocimetry, and mucosal morphology was quantitatively e

30 and detection through phase-coherent Doppler velocimetry, and should ultimately allow force detection

31 ied in situ by astigmatism particle tracking velocimetry (APTV).

32 rography) and skin blood flow (laser Doppler velocimetry) as well as heart rate and blood pressure be

33 CytoViva imaging system and a particle image velocimetry camera, which can capture images at speeds g

34 loped and reported instrument, cell tracking velocimetry (CTV), we are able to detect difference in H

35 re used together with digital particle image velocimetry data to characterize the flow within the dev

36 Based solely on microparticle image velocimetry data, which are readily obtainable during th

37 More specifically, we use ultrasonic velocimetry, densimetry, and differential scanning calor

38 sh using a newly developed scuba-based laser velocimetry device.

39 lar, the technique of digital particle image velocimetry (DPIV) has revolutionized our ability to und

40 mixer performance using microparticle image velocimetry, dye quenching, and Forster resonance energy

41 Streak-based particle velocimetry in a tapered channel was used to assess part

42 s to data obtained using microparticle image velocimetry in cremaster-muscle arterioles of wild-type

43 Here we apply particle tracking velocimetry in gastrulating Drosophila embryos to measur

44 scometry and fluorescent microparticle image velocimetry in microvessels >20 microm in diameter.

45 Using fluorescent microparticle image velocimetry in venules and endothelialized cylindrical c

46 y measurements by magnetic resonance imaging velocimetry indicate that higher conductivity is not acc

47 Moreover, particle image velocimetry is used to study the in situ behavior of the

48 Particle Imaging Velocimetry measurements are used to demonstrate that a

49 Complementary acoustic velocimetry measurements indicate that the microdomain f

50 , time-lapse microscopy and a particle image velocimetry method for computing tissue displacement fie

51 Our findings indicate that particle velocimetry methods must account for the wall-induced la

52 tive mixing action with micro particle image velocimetry (micro-PIV) and verified the purity and amou

53 ivo, we used fluorescent microparticle image velocimetry (micro-PIV) in mouse cremaster muscle venule

54 uter modeling and microscopic particle image velocimetry (micro-PIV) measurements.

55 ields were measured by a microparticle image velocimetry (micro-PIV) system.

56 on near-wall fluorescent microparticle image velocimetry (micro-PIV) was used in mouse cremaster musc

57 Both micrometer-resolution particle image velocimetry (micro-PMV) and particle tracking velocimetr

58 ing of individual cells and particle imaging velocimetry of cell populations.

59 Second, particle imaging velocimetry of fluid motion around colonies immobilized

60 mulations were validated with particle image velocimetry (PIV) across the atrioventricular (AV) canal

61 Using particle image velocimetry (PIV) data we estimated pressure fields to d

62 ssing the microbead images by particle image velocimetry (PIV) software.

63 sing single-cell tracking and particle image velocimetry (PIV), we found that a defined averaged stat

64 capture using holographic and particle image velocimetry (PIV).

65 and/or displacements has been particle image velocimetry (PIV); however, alternative methods exist, s

66 Photoacoustic Doppler velocimetry provides a major opportunity to overcome lim

67 tical microscopy either by particle tracking velocimetry (PTV) or by processing the microbead images

68 elocimetry (micro-PMV) and particle tracking velocimetry (PTV) techniques have been used to quantify

69 We used particle tracking velocimetry (PTV-OCT) to investigate the cilia-driven fl

70 croscopy, immunostaining, and particle image velocimetry reveal that the density of leader cells and

71 analysis was performed using particle image velocimetry software.

72 measured using a modified particle tracking velocimetry system, developed in-house and called a cell

73 s into the flow, using a microparticle image velocimetry technique.

74 rufus) obtained with digital particle image velocimetry that show force asymmetry: hummingbirds prod

75 We show by microparticle image velocimetry that the particle reorientation in the expan

76 We used optical plume velocimetry to estimate the velocity of fluids issuing f

77 Here we use Particle Image Velocimetry to quantify the statistical properties of Ki

78 By using digital particle image velocimetry to visualize fluid flow induced by foot move

79 Our data demonstrates optimal 2D velocimetry up to 10 mm/s flow and spatial resolution do

80 Particle velocimetry was used to map the mass movement of microtu

81 By means of particle image velocimetry, we describe the fluid disturbances produced

82 Using in situ underwater particle image velocimetry, we found that the pulsation motions thrust

83 Using Particle Image Velocimetry, we identify posteriorwards Myosin II flows

84 anced image analysis based on particle image velocimetry, we show that fertilization induces rhythmic

85 velopment of a new technology, cell tracking velocimetry, we were able to measure the migration veloc

86 arteriolar diameters, and A1 flow by Doppler velocimetry were measured.

87 In vivo videomicroscopy and Doppler velocimetry were used to assess terminal ileal microvasc