Simulation of Blood Flow in Microfluidic Devices for Analysing of Video from Real Experiments

Author(s):  
Hynek Bachratý ◽  
Katarína Bachratá ◽  
Michal Chovanec ◽  
František Kajánek ◽  
Monika Smiešková ◽  
...  
2021 ◽  
Vol 15 (3) ◽  
pp. 034106
Author(s):  
Sung Oh Woo ◽  
Myungkeun Oh ◽  
Kyle Nietfeld ◽  
Bailey Boehler ◽  
Yongki Choi

Lab on a Chip ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 3787-3795 ◽  
Author(s):  
Mohamad S. Sotoudegan ◽  
Omar Mohd ◽  
Frances S. Ligler ◽  
Glenn M. Walker

Grooved paper pumps provide controllable flow of complex biofluids within microfluidic devices.


2010 ◽  
Vol 16 (7) ◽  
pp. 1091-1096 ◽  
Author(s):  
S. Prentner ◽  
D. M. Allen ◽  
L. Larcombe ◽  
S. Marson ◽  
K. Jenkins ◽  
...  

2014 ◽  
Vol 10 ◽  
pp. 19-26 ◽  
Author(s):  
A.T. Akhmetov ◽  
A.A. Rakhimov ◽  
A.A. Valiev ◽  
R.R. Nigmatzyanova

Hydrodynamic studies results are presented for O/W and W/O emulsions, biological dispersion as a human blood in microchannels obtained both by traditional methods and soft lithography ones. It’s shown that a general property of dispersions flow in microchannels is the dynamic blocking phenomenon. An analysis of blood and emulsion rheological properties is provided by data got with a precision rheometer. Experiments using microfluidic devices supported to detect droplet deformation during the dynamic blocking and an asymmetry of the dispersion flow pattern ina stepped constriction.


2016 ◽  
Vol 7 (3) ◽  
pp. 148-153 ◽  
Author(s):  
Jaron Singhal ◽  
Diana Pinho ◽  
Raquel Lopes ◽  
Patricia Sousa ◽  
Valdemar Garcia ◽  
...  

Author(s):  
Hynek Bachraty ◽  
Katarina Bachrata

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 938
Author(s):  
Katarína Bachratá ◽  
Katarína Buzáková ◽  
Michal Chovanec ◽  
Hynek Bachratý ◽  
Monika Smiešková ◽  
...  

Numerical models for the flow of blood and other fluids can be used to design and optimize microfluidic devices computationally and thus to save time and resources needed for production, testing, and redesigning of the physical microfluidic devices. Like biological experiments, computer simulations have their limitations. Data from both the biological and the computational experiments can be processed by machine learning methods to obtain new insights which then can be used for the optimization of the microfluidic devices and also for diagnostic purposes. In this work, we propose a method for identifying red blood cells in flow by their stiffness based on their movement data processed by neural networks. We describe the performed classification experiments and evaluate their accuracy in various modifications of the neural network model. We outline other uses of the model for processing data from video recordings of blood flow. The proposed model and neural network methodology classify healthy and more rigid (diseased) red blood cells with the accuracy of about 99.5% depending on the selected dataset that represents the flow of a suspension of blood cells of various levels of stiffness.


Author(s):  
John L. Beggs ◽  
Peter C. Johnson ◽  
Astrid G. Olafsen ◽  
C. Jane Watkins

The blood supply (vasa nervorum) to peripheral nerves is composed of an interconnected dual circulation. The endoneurium of nerve fascicles is maintained by the intrinsic circulation which is composed of microvessels primarily of capillary caliber. Transperineurial arterioles link the intrinsic circulation with the extrinsic arterial supply located in the epineurium. Blood flow in the vasa nervorum is neurogenically influenced (1,2). Although a recent hypothesis proposes that endoneurial blood flow is controlled by the action of autonomic nerve fibers associated with epineurial arterioles (2), our recent studies (3) show that in addition to epineurial arterioles other segments of the vasa nervorum are also innervated. In this study, we examine blood vessels of the endoneurium for possible innervation.


Author(s):  
E.J. Prendiville ◽  
S. Laliberté Verdon ◽  
K. E. Gould ◽  
K. Ramberg ◽  
R. J. Connolly ◽  
...  

Endothelial cell (EC) seeding is postulated as a mechanism of improving patency in small caliber vascular grafts. However the majority of seeded EC are lost within 24 hours of restoration of blood flow in previous canine studies . We postulate that the cells have insufficient time to fully develop their attachment to the graft surface prior to exposure to hemodynamic stress. We allowed EC to incubate on fibronectin-coated ePTFE grafts for four different time periods after seeding and measured EC retention after perfusion in a canine ex vivo shunt circuit.Autologous canine EC, were enzymatically harvested, grown to confluence, and labeled with 30 μCi 111 Indium-oxine/80 cm 2 flask. Four groups of 5 cm x 4 mm ID ePTFE vascular prostheses were coated with 1.5 μg/cm.2 human fibronectin, and seeded with 1.5 x 105 EC/ cm.2. After seeding grafts in Group 1 were incubated in complete growth medium for 90 minutes, Group 2 were incubated for 24 hours, Group 3 for 72 hours and Group 4 for 6 days. Grafts were then placed in the canine ex vivo circuit, constructed between femoral artery and vein, and subjected to blood flow of 75 ml per minute for 6 hours. Continuous counting of γ-activity was made possible by placing the seeded graft inside the γ-counter detection crystal for the duration of perfusion. EC retention data after 30 minutes, 2 hours and 6 hours of flow are shown in the table.


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