Effect of hematocrit on blood dynamics on a compact disc platform

The Analyst ◽  
2015 ◽  
Vol 140 (5) ◽  
pp. 1432-1437 ◽  
Author(s):  
Shantimoy Kar ◽  
Monika Dash ◽  
Tapas Kumar Maiti ◽  
Suman Chakraborty
Keyword(s):  
Blood Flow ◽  
Blood Sample ◽  
Compact Disc ◽  
Flow Dynamics ◽  
Hematocrit Level ◽  
Compact Disk ◽  
Blood Flow Dynamics

We investigate blood flow dynamics on a rotationally actuated lab-on-a-compact disk (LOCD) platform, as a function of the hematocrit level of the blood sample.

scholarly journals Nephron blood flow dynamics measured by laser speckle contrast imaging

2011 ◽  
Vol 300 (2) ◽  
pp. F319-F329 ◽  
Author(s):  
Niels-Henrik Holstein-Rathlou ◽  
Olga V. Sosnovtseva ◽  
Alexey N. Pavlov ◽  
William A. Cupples ◽  
Charlotte Mehlin Sorensen ◽  
...  
Keyword(s):  
Blood Flow ◽  
Signal Transmission ◽  
Experimental Studies ◽  
Flow Dynamics ◽  
Laser Speckle ◽  
Tubuloglomerular Feedback ◽  
Contrast Imaging ◽  
Laser Speckle Contrast Imaging ◽  
Speckle Contrast ◽  
Blood Flow Dynamics

Tubuloglomerular feedback (TGF) has an important role in autoregulation of renal blood flow and glomerular filtration rate (GFR). Because of the characteristics of signal transmission in the feedback loop, the TGF undergoes self-sustained oscillations in single-nephron blood flow, GFR, and tubular pressure and flow. Nephrons interact by exchanging electrical signals conducted electrotonically through cells of the vascular wall, leading to synchronization of the TGF-mediated oscillations. Experimental studies of these interactions have been limited to observations on two or at most three nephrons simultaneously. The interacting nephron fields are likely to be more extensive. We have turned to laser speckle contrast imaging to measure the blood flow dynamics of 50–100 nephrons simultaneously on the renal surface of anesthetized rats. We report the application of this method and describe analytic techniques for extracting the desired data and for examining them for evidence of nephron synchronization. Synchronized TGF oscillations were detected in pairs or triplets of nephrons. The amplitude and the frequency of the oscillations changed with time, as did the patterns of synchronization. Synchronization may take place among nephrons not immediately adjacent on the surface of the kidney.

Muscle Blood-Flow Dynamics at Exercise Onset

2006 ◽  
Vol 38 (10) ◽  
pp. 1811-1818 ◽  
Author(s):  
MICHAEL E. TSCHAKOVSKY ◽  
NATASHA R. SAUNDERS ◽  
KATHERINE A. WEBB ◽  
DENIS E. O'DONNELL
Keyword(s):  
Blood Flow ◽  
Muscle Blood Flow ◽  
Flow Dynamics ◽  
Exercise Onset ◽  
Blood Flow Dynamics

Investigation of blood flow dynamics by NMR angiography

1990 ◽  
Vol 8 (2) ◽  
pp. 167-172 ◽  
Author(s):  
Q. Guo ◽  
L. Friloux ◽  
O. Nalcioglu
Keyword(s):  
Blood Flow ◽  
Flow Dynamics ◽  
Blood Flow Dynamics

Observations of cochlear blood flow dynamics using the laser Doppler flowmeter

1989 ◽  
Vol 246 (3) ◽  
pp. 147-150 ◽  
Author(s):  
M. Kawakami ◽  
K. Makimoto ◽  
T. Nakajima ◽  
H. Takahashi
Keyword(s):  
Blood Flow ◽  
Flow Dynamics ◽  
Laser Doppler ◽  
Laser Doppler Flowmeter ◽  
Cochlear Blood Flow ◽  
Blood Flow Dynamics ◽  
Doppler Flowmeter

scholarly journals Quantifying blood flow dynamics during cardiac development: demystifying computational methods

2018 ◽  
Vol 373 (1759) ◽  
pp. 20170330 ◽  
Author(s):  
Katherine Courchaine ◽  
Sandra Rugonyi
Keyword(s):  
Blood Flow ◽  
Congenital Heart ◽  
Cardiac Development ◽  
Three Dimensional ◽  
Flow Dynamics ◽  
Cardiovascular Development ◽  
Flow Conditions ◽  
Congenital Heart Malformations ◽  
Blood Flow Dynamics ◽  
Altered Blood

Blood flow conditions (haemodynamics) are crucial for proper cardiovascular development. Indeed, blood flow induces biomechanical adaptations and mechanotransduction signalling that influence cardiovascular growth and development during embryonic stages and beyond. Altered blood flow conditions are a hallmark of congenital heart disease, and disrupted blood flow at early embryonic stages is known to lead to congenital heart malformations. In spite of this, many of the mechanisms by which blood flow mechanics affect cardiovascular development remain unknown. This is due in part to the challenges involved in quantifying blood flow dynamics and the forces exerted by blood flow on developing cardiovascular tissues. Recent technologies, however, have allowed precise measurement of blood flow parameters and cardiovascular geometry even at early embryonic stages. Combined with computational fluid dynamics techniques, it is possible to quantify haemodynamic parameters and their changes over development, which is a crucial step in the quest for understanding the role of mechanical cues on heart and vascular formation. This study summarizes some fundamental aspects of modelling blood flow dynamics, with a focus on three-dimensional modelling techniques, and discusses relevant studies that are revealing the details of blood flow and their influence on cardiovascular development. This article is part of the Theo Murphy meeting issue ‘Mechanics of development’.

Abstract TP146: Impaired Acute Collateral Flow Dynamics Experimental Stroke In Type 2 Diabetic Mice

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Yosuke Akamatsu ◽  
Chih C Lee ◽  
Ruikang K Wang ◽  
Jialing Liu
Keyword(s):  
Blood Flow ◽  
Neurologic Deficit ◽  
Flow Dynamics ◽  
Collateral Flow ◽  
Doppler Flowmetry ◽  
Collateral Arteries ◽  
Significant Difference ◽  
Blood Flow Dynamics ◽  
Collateral Vessels

Introduction: Type 2 diabetes mellitus (T2DM) is a major risk factor for stroke, yet it is unclear whether T2DM associated-poor outcome after stroke is related to unfavorable cerebral blood flow dynamics. The current study aimed to investigate the effect of T2DM on acute blood flow dynamics and stroke outcome. Methood: Adult male db/db and db/+ mice (8-9 weeks of age) were subjected to permanent distal middle cerebral artery occlusion (pMCAo). Neurologic deficit was assessed with a 5-point scoring system (0 to 4) and infarction volume was determined at 48 hours after pMCAo by TTC staining. Hemodynamics was evaluated by laser doppler flowmetry. The number of connecting collateral vessels, functional microvascular network morphology, and vessel area density of the ischemic hemisphere were determined by DiI-labeling, and optical coherence tomography (OCT), respectively. Results: db/db mice had a higher baseline blood glucose level (341±39.7 vs. 172±26.5 mg/dl, p <0.01) and a larger infarct volume after pMCAO compared to db/+ mice (69.5±5.4 vs. 51.0±3.1 mm 3 , p <0.01). Neurologic deficit did not differ between groups at 2 hours after pMCAO, but was significantly worse in the db/db at 24 hours after pMCAo compared to db/+ mice (1.9±0.1 vs. 1.4±0.2, p <0.05), correlated with lower rCBF in the core of the MCA territory at 24 and 48 hours (10.9%±1.1 vs. 14.4%±0.8, p <0.05 and 9.5%±1.0 vs. 14.1%±1.2, p =0.01). Ipsilateral functional microvascular density as detected by OCT did not differ between groups at one hour after occlusion but was significantly lower in the db/db mice at 24 hr after pMCAo ( p <0.05). However, we did not observe a significant difference in the number of connecting collateral arteries between groups at 48 hours after pMCAo in this age group. Conclusion: Our results demonstrate that T2DM is associated with lower rCBF and lower density of functional blood vessels during the acute phase of pMCAo, which might in part, contribute to the observed worse outcome in the db/db mice. Ongoing experiments will investigate whether T2DM affects the flow dynamics in individual collateral following MCA occlusion and outward remodeling of the collateral vessels.

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