Relevant bibliographies by topics / Flow cell

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Flow cell'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Flow cell"

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Maheskumar, Pon, S. A. Srinivasan, M. Arjunraj, and B. Sakthivel. "Numerical Study on Performance of Single Flow Channel PEM Fuel Cell for Different Flow Channel Configurations." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11 (November 29, 2019): 444–52. http://dx.doi.org/10.5373/jardcs/v11i11/20193349.

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Ahmed, Afzal, Mir Shabbar Ali, and Toor Ansari. "Modelling Heterogeneous and Undisciplined Traffic Flow using Cell Transmission Model." International Journal of Traffic and Transportation Management 02, no. 01 (November 11, 2020): 01–05. http://dx.doi.org/10.5383/jttm.02.01.001.

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This research calibrates Cell Transmission Model (CTM) for heterogeneous and non-lane disciplined traffic, as observed in Pakistan and some other developing countries by constructing a flow-density fundamental traffic flow diagram. Currently, most of the traffic simulation packages used for such heterogonous and non-lane-disciplined traffic are not calibrated for local traffic conditions and most of the traffic flow models are developed for comparatively less heterogeneous and lane-disciplined traffic. The flow-density fundamental traffic flow diagram is developed based on extensive field data collected from Karachi, Pakistan. The calibrated CTM model is validated by using actual data from another road and it was concluded that CTM is capable of modelling heterogeneous and non-lane disciplined traffic and performed very reasonably. The calibrated CTM will be a useful input for the application of traffic simulation and optimization packages such as TRANSYT, SIGMIX, DISCO, and CTMSIM.
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Hess, G. P., R. W. Lewis, and Y. Chen. "Cell-Flow Technique." Cold Spring Harbor Protocols 2014, no. 10 (October 1, 2014): pdb.prot084160. http://dx.doi.org/10.1101/pdb.prot084160.

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KOZAKAI, Masaya, Tsutomu OKUSAWA, Hiroyuki SATAKE, and Ko TAKAHASHI. "C211 INVESTIGATION OF POROUS GAS FLOW FIELD IN POLYMER ELECTROLYTE MEMBRANE FUEL CELL(Fuel Cell-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.2 (2009): _2–237_—_2–242_. http://dx.doi.org/10.1299/jsmeicope.2009.2._2-237_.

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Degawa, Tomohiro, and Tomomi Uchiyama. "NUMERICAL SIMULATION OF THE BUBBLY FLOW AROUND A RECTANGULAR CYLINDER BY VORTEX IN CELL METHOD(Multiphase Flow)." Proceedings of the International Conference on Jets, Wakes and Separated Flows (ICJWSF) 2005 (2005): 235–40. http://dx.doi.org/10.1299/jsmeicjwsf.2005.235.

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Faizar Abdurrahman, Faizar Abdurrahman, Norhana Arsad Norhana Arsad, Sabiran Sabiran, and Harry Ramza Harry Ramza. "Simple design flow injection PMMA acrylic sample cell for nitrite determination." Chinese Optics Letters 12, no. 4 (2014): 043002–43004. http://dx.doi.org/10.3788/col201412.043002.

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Ley, Klaus. "Cell Adhesion under Flow." Microcirculation 16, no. 1 (January 2009): 1–2. http://dx.doi.org/10.1080/10739680802644415.

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Shi, Zheng, Zachary T. Graber, Tobias Baumgart, Howard A. Stone, and Adam E. Cohen. "Cell Membranes Resist Flow." Cell 175, no. 7 (December 2018): 1769–79. http://dx.doi.org/10.1016/j.cell.2018.09.054.

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Melchior, Benoît, and John A. Frangos. "Shear-induced endothelial cell-cell junction inclination." American Journal of Physiology-Cell Physiology 299, no. 3 (September 2010): C621—C629. http://dx.doi.org/10.1152/ajpcell.00156.2010.

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Atheroprone regions of the arterial circulation are characterized by time-varying, reversing, and oscillatory wall shear stress. Several in vivo and in vitro studies have demonstrated that flow reversal (retrograde flow) is atherogenic and proinflammatory. The molecular and structural basis for the sensitivity of the endothelium to flow direction, however, has yet to be determined. It has been hypothesized that the ability to sense flow direction is dependent on the direction of inclination of the interendothelial junction. Immunostaining of the mouse aorta revealed an inclination of the cell-cell junction by 13° in direction of flow in the descending aorta where flow is unidirectional. In contrast, polygonal cells of the inner curvature where flow is disturbed did not have any preferential inclination. Using a membrane specific dye, the angle of inclination of the junction was dynamically monitored using live cell confocal microscopy in confluent human endothelial cell monolayers. Upon application of shear the junctions began inclining within minutes to a final angle of 10° in direction of flow. Retrograde flow led to a reversal of junctional inclination. Flow-induced junctional inclination was shown to be independent of the cytoskeleton or glycocalyx. Additionally, within seconds, retrograde flow led to significantly higher intracellular calcium responses than orthograde flow. Together, these results show for the first time that the endothelial intercellular junction inclination is dynamically responsive to flow direction and confers the ability to endothelial cells to rapidly sense and adapt to flow direction.
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Agnihotri, Naveen, William S. Kisaalita, and Charles H. Keith. "Micro-Perfusion Flow Cell for Imaging Cultured Cells." BioTechniques 27, no. 4 (October 1999): 722–28. http://dx.doi.org/10.2144/99274st01.

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Dissertations / Theses on the topic "Flow cell"

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Rabodzey, Aleksandr. "Flow-induced mechanotransduction in cell-cell junctions of endothelial cells." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/41586.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Biological Engineering Division, 2006.
Includes bibliographical references (leaves 86-92).
Endothelial cells show an unexpected behavior shortly after the onset of laminar flow: their crawling speed decreases ~40% within the first 30 min, but only in a confluent monolayer of endothelial cells, not in subconfluent cultures, where cell-cell interactions are limited. This led us to study early shear effects on cell-cell adherens junctions. We found a 30±6% increase in the number of VE-cadherin molecules in the junctions. The strength of interactions of endothelial cells with surfaces coated with recombinant VE-cadherin protein also increased after laminar flow. These observations suggest that endothelial cell junction proteins respond to flow onset. The process of clustering may induce diffusion of monomers to the junction area, resulting in an overall increase in VE-cadherins in the junctions. To directly confirm the role of adherens junctions in the decrease in cell crawling speed, we used siRNA-knockdown technique to produce cells lacking VE-cadherin. These cells showed no decline in crawling speed under flow. Our interpretation is consistent with previous data on junction disassembly 8 hr after flow onset. The speed of endothelial cell crawling returns to the original level by that time, and junctional disassembly may explain that phenomenon. In order to understand better the change in VE-cadherin distribution under flow and during junction formation and remodelling, we developed a mathematical model of VE-cadherin redistribution in endothelial cells. This model allowed us to develop a quantitative framework for analysis of VE-cadherin redistribution and estimate the amount of protein in the junctions and on the apical surface. In addition to that, the model explains rapid junction disassembly in the leukocyte transmigration and junction formation in subconfluent cells.
(cont.) These studies show that intercellular adhesion molecules are important in the force transmission and shear stress response. Their role, however, is not limited to flow mechanotransduction. Intercellular force transmission has an important application - organ development and, specifically, angiogenesis. We studied the role of VE-cadherin in vessel development in HUVECs and showed that VE-cadherin-null cells do not form vessels in the in vitro assay. This observation confirms the important role of intercellular force transmission in response to external force caused by flow or exerted by other cells.
by Aleksandr Rabodzey.
Ph.D.
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Kucukal, Erdem. "BIOMIMETIC MICROFLUIDIC PLATFORMS FOR MONITORING CELLULAR INTERACTIONS IN MICROSCALE FLOW." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1576231265150031.

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Ofsthun, Norma Jean. "Cross-flow membrane filtration of cell suspensions." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/14481.

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Han, Tian. "Flow cell separation in fluctuating g-field." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11105.

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Field flow fractionation of particles in rotating coiled column has been investigated in recent year. In contrast to the classical mode of field flow fractionation in narrow channels, the use of rotating coiled columns offers the possibility of large sample loading. In this thesis, the potential for new cell separation methods based on the use of flow fractionation in fluctuating g-fields generated in rotating coil columns is examined. The effects of operational conditions (flow rate and rotational speed – Chapter 3 and Chapter 5); cell properties (cell flexibility – Chapter 4); and column shapes (different inner diameters and coil geometries – Chapter 6) on the flow behaviour of a model system of red blood cells (RBCs) from different species, which differ markedly in size, shape & density, flowing in a single phase of buffered saline have been characterised. Operational Conditions: For a particular rotational speed, there was a minimum flow rate which caused all the cells to be retained in the column and a maximum flow rate at which all cells were eluted. Both the minimum and maximum flow rate were increased when a higher rotational speed was applied. Differences in the behaviour of sheep & hen RBCs have been used to develop a separation method using a continuously increasing flow gradient. This separation could be speeded up by using a step flow gradient. The effects of cell load and rotational direction on the behaviour of RBCs in the column was also studied in this thesis. Cell Properties: The minimum flow rate was found to correlate with cell diameter/cell volume of the RBCs as expected for a sedimentation related process and was partially described by a theoretic equation developed for particles by Fedotov and colleagues (Fedotov et al. 2005). However cell dependent departures from this equation were found which appear to indicate that cell specific surface properties may also be involved for cells (Chapter 3). By contrast the maximum flow rate showed no correlation with cell diameter/cell volume. An effect of cell deformability on the flow separation behaviour of the cells has been demonstrated. Chemical fixation of sheep RBCs with glutaraldehyde rendered the normally deformable RBCs rigid and non-deformable and resulted in the fixed sheep RBCs eluting significantly earlier than unfixed sheep RBCs. This difference was great enough that a mixture of deformable (unfixed) and non-deformable (fixed) sheep RBCs could be separated. Fixed cells tended to show cell aggregation, which could be reduced by the addition of surfactant. Column Geometry: An effect of column shapes on the flow separation behaviour of cells has been demonstrated showing that the optimisation of column design is an important feature of this mode of cell separation. For columns with the same cross sectional area, a “horizontal” rectangular column provided better separation than a circular column and a “vertical” rectangular column gave the least efficient separation. A possible explanation for this behaviour is suggested the thinner sedimentation layer and less secondary flow. Differences in the behaviour of various species of RBCs in the “horizontal” rectangular column have been used to study the efficiency of separation of a mixture of sheep and hen RBCs, and a mixture of rabbit and hen RBCs. This work shows similarities and differences with other reports on cell/particle separations in rotating coiled columns in single phases and also in aqueous two phases systems (ATPS) and these are discussed. Fedotov P.S., Kronrod V.A. & Kasatonova O.N. (2005). Simulation of the motion of solid particles in the carries liquid flow in a rotating coiled column. J. Anal. Chem., 60, 4, 310-316.
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Choe, Juno. "Genomic analysis by single cell flow sorting /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/10850.

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Dive, C. "Flow cytoenzymology with special reference to cancer chemotherapy." Thesis, Open University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384585.

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Camplejohn, Richard Stephen. "Cell kinetics and cancer." Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327272.

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Korn, Christian. "Stochastic dynamics of cell adhesion in hydrodynamic flow." Phd thesis, Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2007/1299/.

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Allen, R. J. "Modelling the endothelial cell response to fluid flow." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/16119/.

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In vitro endothelial cells respond to fluid flow by elongating in the direction of flow. How the mechanical signal is transformed into an organised and directed response is poorly understood. The most studied and crucial aspects to this response are; actin filament alignment, mechano-transduction, signal transduction, Rho GTPase localised activation and lamellipodium formation. The goal of this project is to understand how these separate facets interact and lead to a coordinated response. The flow is modelled over a 3D virtual cell, which naturally gives the force the flow exerts on the cell surface via a boundary integral representation. This force is coupled to a Kelvin-body model of mechano-transduction which links, via a focal adhesion associated protein, Src, to a partial differential equation model (PDE) of the Rho GTPases Rac and Rho. The PDEs are integrated over a 2D projection of the 3D cell giving a time course for protein concentration at any point in the cell. It is demonstrated that a mechano-transducer that can respond to the normal component of the force is likely to be a necessary (though perhaps not sufficient) component of the signalling network. In some processes cross talk between the GTPases is thought to be important in forming spatially segregated zones of activation, for example in the front and back of migratory cells. This research shows that local signalling in endothelial cells could be initiated by the force normal to the surface of the cell and maintained by limited diffusion. Modelling indicates the EC signalling response to fluid flow may be attenuated by a change in morphology. Rac and Rho activation and deactivation are validated against experimentally reported time courses that have been taken for whole cell averages. However it will be demonstrated that these time courses do not characterise the process and therefore there is a need for more quantitative local measure of protein activation.
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Polacheck, William J. (William Joseph). "Effects of interstitial flow on tumor cell migration." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61917.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 80-84).
Interstitial flow is the convective transport of fluid through tissue extracellular matrix. This creeping fluid flow has been shown to affect the morphology and migration of cells such as fibroblasts, cancer cells, endothelial cells, and mesenchymal stem cells. However, due to limitations in experimental procedures and apparatuses, the mechanism by which cells detect flow and the details and dynamics of the cellular response remain largely unknown. We developed a microfluidic cell culture system in which we can apply stable pressure gradients and fluid flow, and in which we can observe transient responses of breast cancer cells seeded in a 3D collagen type I scaffold. We employed this system to examine cell migration in the presence of interstitial flow to address the hypothesis that interstitial flow increases the metastatic potential of breast cancer cells. By varying the concentration of chemoattractants, we decoupled the mechanisms that provide the migratory stimulus and the directional stimulus to migrating breast cancer cells in the presence of a flow field. We found that cells migrated along streamlines in the presence of flow and that the strength of the flow field determined directional bias of migration along the streamline. We provide evidence that CCR7-dependent autologous chemotaxis is the mechanism by which cells migrate with the flow, while a competing CCR7-independent mechanism leads to migration against the flow. Furthermore, we demonstrate these competing mechanisms are a powerful migrational stimulus, which likely play an important role in development of metastatic disease.
by William J. Polacheck.
S.M.
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Books on the topic "Flow cell"

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Radbruch, Andreas, ed. Flow Cytometry and Cell Sorting. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-662-02785-1.

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Radbruch, Andreas, ed. Flow Cytometry and Cell Sorting. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04129-1.

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A, Radbruch, ed. Flow cytometry and cell sorting. Berlin: Springer-Verlag, 1992.

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R, Melamed Myron, Lindmo Tore, and Mendelsohn M. L, eds. Flow cytometry and sorting. 2nd ed. New York: Wiley-Liss, 1991.

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1922-, Melamed Myron R., Lindmo T, and Mendelsohn Mortimer L, eds. Flow cytometry and sorting. 2nd ed. New York: Wiley-Liss, 1990.

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G, Macey Marion, ed. Flow cytometry: Clinical applications. Oxford: Blackwell Scientific Publications, 1994.

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1948-, Al-Rubeai Mohamed, and Emery A. Nicholas 1942-, eds. Flow cytometry applications in cell culture. New York: Marcel Dekker, 1996.

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E, Hart J., and George C. Marshall Space Flight Center., eds. The geophysical fluid flow cell experiment. [Marshall Space Flight Center], Ala: National Aeronautics and Space Administration, Marshall Space Flight Center, 1999.

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G, Macey Marion, ed. Flow cytometry: Principles and applications. Totowa, NJ: Humana Press, 2007.

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W, Gray Joe, and Darzynkiewicz Zbigniew, eds. Techniques in cell cycle analysis. Clifton, N.J: Humana Press, 1987.

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Book chapters on the topic "Flow cell"

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Ortolani, Claudio. "Cell Sorting." In Flow Cytometry Today, 485–96. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10836-5_21.

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Crissman, Harry A., and Anthony J. Nastasi. "Cell Cycle and Cell Proliferation Markers." In Flow and Image Cytometry, 91–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61115-5_7.

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Amblard, F. "Fluid Mechanical Properties of Flow Cytometers and Assessment Cell-Cell Adhesion Forces." In Flow Cytometry, 205–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84616-8_13.

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Andreoni, C. "Immunomagnetic Particles for Cell Isolation." In Flow Cytometry, 433–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84616-8_29.

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Jacobberger, James W., R. Michael Sramkoski, and Tammy Stefan. "Multiparameter Cell Cycle Analysis." In Flow Cytometry Protocols, 229–49. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-61737-950-5_11.

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Jacobberger, James W., R. Michael Sramkoski, Tammy Stefan, and Philip G. Woost. "Multiparameter Cell Cycle Analysis." In Flow Cytometry Protocols, 203–47. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7346-0_11.

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Ibrahim, Sherrif F., and Ger van den Engh. "Flow Cytometry and Cell Sorting." In Cell Separation, 19–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/10_2007_073.

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Gray, Joe W., Frank Dolbeare, Maria G. Pallavicini, and Martin Vanderlaan. "Flow Cytokinetics." In Techniques in Cell Cycle Analysis, 93–137. Totowa, NJ: Humana Press, 1987. http://dx.doi.org/10.1007/978-1-60327-406-7_5.

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Gorczyca, Wojciech. "Plasma Cell Neoplasms." In Flow Cytometry in Neoplastic Hematology, 379–403. 4th ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003197935-14.

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Evan, Gerard I. "The Molecular Basis of Mammalian Cell Growth Control." In Flow Cytometry, 277–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84616-8_19.

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Conference papers on the topic "Flow cell"

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Hensel, J. Peter, Randall S. Gemmen, Brian J. Hetzer, Jimmy D. Thornton, Jeffrey S. Vipperman, William W. Clark, and A. Fatih Ayhan. "Fuel Cell Performance Improvements Using Cell-to-Cell Flow Distribution Control." In ASME 2004 2nd International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2004. http://dx.doi.org/10.1115/fuelcell2004-2482.

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Balanced flow distribution to each cell in a fuel cell stack plays a significant role in the stack being able to operate at maximum capability and efficiency. This paper discusses the performance improvements in proton exchange membrane fuel cell stacks that can be obtained by using cell-to-cell flow distribution control. In a specially instrumented four-cell stack that employs needle valves to externally control the air and fuel flows to each cell, fuel to a single cell was reduced. The V-I curves collected under these conditions (unbalanced) are compared to curves collected when the fuel flow to each cell was equal (balanced). Reducing the fuel flow to a single cell by 30% decreased the V-I curve cutoff load by 8.5% — demonstrating the negative effect that unbalanced fuel flows can have on stack performance. Typical fuel cell stacks have no dynamic means to keep flows in the stack balanced between the cells, but this work indicates that flow balancing among cells can extend the V-I curve for a fuel cell to higher current values, allowing fuel cell stacks to operate reliably at higher loading and fuel utilizations. Plans to use novel, custom-built micro-valves to dynamically balance flow to individual cells in a fuel cell stack are being pursued as a result of this work, and the status of this development effort is provided.
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KHORRAMI, M., and C. GROSCH. "Temporal stability of multiple-cell vortices." In 2nd Shear Flow Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-987.

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Popova, M., P. Vorobieff, and M. Ingber. "Analysis of two- and three-particle motion in a Couette cell." In MULTIPHASE FLOW 2007. Southampton, UK: WIT Press, 2007. http://dx.doi.org/10.2495/mpf070301.

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Boronin, S., A. Osiptsov, and J. Desroches. "Flows of particle-laden Bingham fluids in a Hele-Shaw cell." In MULTIPHASE FLOW 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/mpf130121.

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Grega, Lisa M., and Steven Voinier. "Effect of Inlet Flow Conditions on Flow Uniformity in a PEM Fuel Cell." In ASME 2011 9th International Conference on Fuel Cell Science, Engineering and Technology collocated with ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/fuelcell2011-54233.

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The use of fuel cells as an alternative to traditional small scale power producing devices such as internal combustion engines or disposable batteries has continued to gain widespread acceptance. Flow maldistribution within cells in a stack continues to be an issue in fuel cell design and can adversely affect performance and longevity. Current research in this field has focused on effects of inlet configurations (plug flow versus circular inlet, for example) on the flow in a rectangular manifold and the resulting distribution into individual cells in the stack. In a typical small scale application, the piping which transports the reactant will contain bends in it. As these bends can introduce Dean vortices and flow asymmetries within the pipe flow, such conditions should be examined to determine whether they will affect the manifold flow and further impact cell maldistribution. A simplified scaled up model of a PEM fuel cell was fitted with different inlet flow configurations, including straight piping and piping containing a 90 degree bend prior to entering the manifold. Particle Image Velocimetry (PIV) was used to obtain mean and fluctuating velocity statistics within the manifold and in individual cells. These distributions will be compared with previous results obtained from this apparatus corresponding to a partially developed square inlet profile, as well as available experimental and computational data in the literature.
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Berning, T., and S. K. Kær. "Modelling multiphase flow inside the porous media of a polymer electrolyte membrane fuel cell." In MULTIPHASE FLOW 2011. Southampton, UK: WIT Press, 2011. http://dx.doi.org/10.2495/mpf110251.

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Choban, Eric R., Piotr Waszczuk, Larry J. Markoski, Andrzej Wieckowski, and Paul J. A. Kenis. "Membraneless Fuel Cell Based on Laminar Flow." In ASME 2003 1st International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2003. http://dx.doi.org/10.1115/fuelcell2003-1728.

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An increasing societal demand for a wide range of small, often portable devices that can operate for an extended period of time without recharging has resulted in a surge of research in micropower sources. Most efforts in this area focus on downscaling of existing fuel cell technology such as the well-known proton exchange membrane (PEM) fuel cells. Here we study a novel concept for fuel cells: the use of laminar flow instead of a physical barrier such as a PEM to separate the fuel and oxidant streams. Laminar flow, i.e. low Reynolds number flow, is a property of fluid flow at the microscale: one or more liquid streams that are brought together under low Reynolds number conditions flow in parallel and contact with each other without turbulent mixing. Mass transport transverse to the direction of flow takes place by diffusion only. In our laminar flow-based fuel cell a fuel-containing stream and an oxidant-containing stream are brought together in laminar flow conditions with the electrodes placed on opposite walls within the channel. In un-optimized fuel cell configurations, current densities as high as 10 mA/cm2 are obtained at room temperature using different fuels such as methanol or formic acid vs. oxygen saturated solvents or other oxidants.
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Lei, Xiaoxiao, Michael B. Lawrence, and Cheng Dong. "Mechanics of Cell Rolling Adhesion in Shear Flow." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0284.

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Abstract Leukocyte rolling along endothelial cells is a critical step of leukocyte-endothelium interaction, which plays important roles in tissue inflammation and wound healing [1]. The occurrence of rolling results from the dynamic balance of hemodynamic shearing force acting on the cell and adhesive bond force between cell and endothelium, while the balance strongly depends on the leukocyte deformability [2]. The objective of this study is to elucidate the effects of (1) hydrodynamic shear stress, (2) cell deformation, and (3) surface adhesion strength on the rolling adhesion event through in vitro experiment and theoretical simulation.
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Hashimoto, Shigehiro, Kiyoshi Yoshinaka, and Hiroki Yonezawa. "Behavior of Cell Under Wall Shear Stress in Flow Field: Comparison Among Cell Types." In ASME 2021 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/fedsm2021-65205.

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Abstract Does the hysteresis effect remain in each cell after division? In the present study, the cell activity has been investigated after division under a shear stress field. To apply the constant shear stress field on cells, a Couette type flow device has been manufactured: between parallel walls (a lower stationary culture disk, and an upper rotating disk) with a constant gap. The wall shear stress was controlled by the rotating speed of the upper disk. Four types of cells were used in the test: C2C12 (mouse myoblast cell line), HUVEC (Human Umbilical Vein Endothelial Cells), 3T3-L1 (mouse fat precursor cells), and L929 (mouse fibroblast connective tissue). After cultivation without flow for 24 hours for adhesion of cells on the lower plate, the shear stress of 1 Pa was continuously applied on cells for 7 days at 310 K. The behavior (alignment and deformation) of each cell was traced at the time lapse image observed by an inverted phase contrast microscope placed in an incubator. The experimental results show the following behavior of each type of cell: C2C12 tends to return to the same direction as that of before division. Deformed 3T3-L1 tends to tilt to the flow direction.
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Park, Taehyun, Daniel Sangwon Park, and Michael C. Murphy. "High Flow Rate Device for Circulating Tumor Cell Capture." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63750.

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Circulating tumor cells (CTCs) were captured at high flow rates with a high recovery rate using a small footprint disposable polymer micro device. A new concept of target cell capture was introduced to break through the barriers limiting current approaches. Several potential designs were parametrically simulated using computational fluid dynamics (CFD) to achieve the best performance. The high flow rate device (HFRD) was fabricated in polymethyl methacrylate (PMMA) based on simulation results. Antibodies (anti-EpCAM) were immobilized on the PMMA device with surface treatments including UV modification and amine functionalization. A novel rare cell sample preparation method was established to provide an exact number of initial target cells to accurately test the rare cell performance. The precisely prepared samples of rare target tumor cells were spiked in a solution containing human erythrocytes, with a 40% hematocrit. The mean recovery rate with the HFRD was 85% at a 750 μL/min flow rate.
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Reports on the topic "Flow cell"

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CORSCADDENorscadden, Louise, and Arpaporn Sutipatanasomboon. The Definite Guide to Flow Cytometry for Scientists. ConductScience, December 2022. http://dx.doi.org/10.55157/cs20221213.

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Flow cytometry is an analytical technique that examines cells suspended in fluids. It uses a built-in laser beam to illuminate individual cells as the fluid passes through. The illumination causes fluorescence and scattered lights, which are emitted and reflected from the examining cell. These lights are split and filtered onto detectors and converted into electrical signals.
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Wieder, Robert. Microfluidic Flow Retardation for Tagless Cancer Cell Analysis. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada566937.

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Wieder, Robert. Microfluidic Flow Retardation for Tagless Cancer Cell Analysis. Fort Belvoir, VA: Defense Technical Information Center, July 2011. http://dx.doi.org/10.21236/ada549637.

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Heil, Cynthia A., Gabriel A. Vargo, David P. Fries, Ziaoling Ding, and David F. Millie. Flow Cytometer Based Biosensor for In-Field Cell Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada630296.

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Hosseini, Neda. Stereolithographic Fabrication of a Flow Cell For Improved Neurochemical Sensor Testing. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1481062.

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Alam, Todd Michael, and Sarah K. McIntyre. Development of a micro flow-through cell for high field NMR spectroscopy. Office of Scientific and Technical Information (OSTI), May 2011. http://dx.doi.org/10.2172/1018472.

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Kumar, Rajan. Microfluidic Flow Retardation Device for Tagless Cancer Cell Analysis for Metastatic Potential. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada566934.

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Swanekamp, S. B., A. S. Richardson, I. Ritterdorf, J. W. Schumer, and B. V. Weber. Particle-in-Cell Simulations of Electromagnetic Power-Flow in a Complex 3D Geometry. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1422357.

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Jalali, Bahram, and Dino Di Carlo. Massively Parallel Rogue Cell Detection Using Serial Time-Encoded Amplified Microscopy of Inertially Ordered Cells in High Throughput Flow. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada566873.

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Jalali, Bahram, and Dino Di Carlo. Massively Parrell Rogue Cell Detection Using Serial Time-Encoded Amplified Microscopy of Inertially Ordered Cells in High Throughput Flow. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada576649.

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