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Journal articles on the topic 'Flow cell'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 June 2025

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1

Hess, G. P., R. W. Lewis, and Y. Chen. "Cell-Flow Technique." Cold Spring Harbor Protocols 2014, no. 10 (2014): pdb.prot084160. http://dx.doi.org/10.1101/pdb.prot084160.

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2

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 (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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3

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 (2019): 444–52. http://dx.doi.org/10.5373/jardcs/v11i11/20193349.

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4

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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5

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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6

Melchior, Benoît, and John A. Frangos. "Shear-induced endothelial cell-cell junction inclination." American Journal of Physiology-Cell Physiology 299, no. 3 (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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7

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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8

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

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9

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

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10

Segal, S. S. "Cell-to-cell communication coordinates blood flow control." Hypertension 23, no. 6_pt_2 (1994): 1113–20. http://dx.doi.org/10.1161/01.hyp.23.6.1113.

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11

Duszyk, Marek, Maciej Kawalec, and Jan Doroszewski. "Specific cell-to-cell adhesion under flow conditions." Cell Biophysics 8, no. 2 (1986): 131–39. http://dx.doi.org/10.1007/bf02788477.

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12

Ng, Paul K., and I. Andrew Obegi. "Tangential Flow Cell Separation from Mammalian Cell Culture." Separation Science and Technology 25, no. 6 (1990): 799–807. http://dx.doi.org/10.1080/01496399008050366.

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13

Bi, Hsiaotao T., Pierre Sauriol, and Jürgen Stumper. "Two-phase flow distributors for fuel cell flow channels." Particuology 8, no. 6 (2010): 582–87. http://dx.doi.org/10.1016/j.partic.2010.07.011.

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14

Skyllas‐Kazacos, M., and F. Grossmith. "Efficient Vanadium Redox Flow Cell." Journal of The Electrochemical Society 134, no. 12 (1987): 2950–53. http://dx.doi.org/10.1149/1.2100321.

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15

Hayes, Joel R., Allison M. Engstrom, and Cody Friesen. "Orthogonal flow membraneless fuel cell." Journal of Power Sources 183, no. 1 (2008): 257–59. http://dx.doi.org/10.1016/j.jpowsour.2008.04.061.

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16

Chalmers, J. J., M. Zborowski, L. Sun, and L. Moore. "Flow Through, Immunomagnetic Cell Separation." Biotechnology Progress 14, no. 1 (1998): 141–48. http://dx.doi.org/10.1021/bp970140l.

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17

Bleesing, Jack J. H., and Thomas A. Fleisher. "Cell function-based flow cytometry." Seminars in Hematology 38, no. 2 (2001): 169–78. http://dx.doi.org/10.1053/shem.2001.21928.

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18

Chiang, Ya-Yu, Sina Haeri, Carsten Gizewski, et al. "Whole Cell Quenched Flow Analysis." Analytical Chemistry 85, no. 23 (2013): 11560–67. http://dx.doi.org/10.1021/ac402881h.

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19

Verdier, Claude, CÃ©cile Couzon, Alain Duperray, and Pushpendra Singh. "Modeling cell interactions under flow." Journal of Mathematical Biology 58, no. 1-2 (2008): 235–59. http://dx.doi.org/10.1007/s00285-008-0164-4.

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20

Frangos, John, and Robert Hochmuth. "Blood cell adhesion and flow." Annals of Biomedical Engineering 25, no. 1 (1997): S—33. http://dx.doi.org/10.1007/bf02647362.

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21

Bleesing, Jack J. H., and Thomas A. Fleisher. "Cell function-based flow cytometry." Seminars in Hematology 38, no. 2 (2001): 169–78. http://dx.doi.org/10.1016/s0037-1963(01)90050-2.

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22

Wolff, Max, Bernhard Frick, Andreas Magerl, and Hartmut Zabel. "Flow cell for neutron spectroscopy." Physical Chemistry Chemical Physics 7, no. 6 (2005): 1262. http://dx.doi.org/10.1039/b414924f.

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23

Jayasinghe, Suwan N. "Reimagining Flow Cytometric Cell Sorting." Advanced Biosystems 4, no. 8 (2020): 2000019. http://dx.doi.org/10.1002/adbi.202000019.

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24

Kumar, Dr Raushan. "FLOW CYTOMETERS AND THEIR APPLICATIONS IN CLINICAL RESEARCH." Era's Journal of Medical Research 11, no. 1 (2024): 116–19. http://dx.doi.org/10.24041/ejmr2024.18.

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Flow cytometry has quickly risen to the status of a standard analytical tool in medical research due to its robustness. Flow cytometry is a powerful tool that may examine individual cells within a larger population. Similar to microscopy, this method automatically quantifies certain optical properties of the cell or cell population under study using a flow cytometer. Flow cytometry can be used to learn about cell size, number of cells, chromosomes, and biological processes including apoptosis and cell adhesion. When it comes to diagnosing diseases, flow cytometry is important for the following tasks: a complete count of blood cells Cell sorting has many applications in biology, including the study of various leukocyte types, the identification of pathogenic microbes in environmental and biological samples, the determination of total DNA content in cells during tumor biopsies for cancer research, the sorting of T cells to assess the impact of infections on their function, and the detection of minimal residual disease cells in bodily fluids.

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25

Shiomi, Norimasa, Wen-Xin Cai, Akio Muraoka, Kenji Kaneko, and Toshiaki Setoguchi. "Internal Flow of a High Specific-Speed Diagonal-Flow Fan (Rotor Outlet Flow Fields with Rotating Stall)." International Journal of Rotating Machinery 9, no. 5 (2003): 337–44. http://dx.doi.org/10.1155/s1023621x03000319.

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We carried out investigations for the purpose of clarifying the rotor outlet flow fields with rotating stall cell in a diagonal-flow fan. The test fan was a high–specific-speed (ns=1620) type of diagonal-flow fan that had 6 rotor blades and 11 stator blades. It has been shown that the number of the stall cell is 1, and its propagating speed is approximately 80% of its rotor speed, although little has been known about the behavior of the stall cell because a flow field with a rotating stall cell is essentially unsteady. In order to capture the behavior of the stall cell at the rotor outlet flow fields, hot-wire surveys were performed using a single-slant hotwire probe. The data obtained by these surveys were processed by means of a double phase-locked averaging technique, which enabled us to capture the flow field with the rotating stall cell in the reference coordinate system fixed to the rotor. As a result, time-dependent ensemble averages of the three-dimensional velocity components at the rotor outlet flow fields were obtained. The behavior of the stall cell was shown for each velocity component, and the flow patterns on the meridional planes were illustrated.

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26

Duszyk, Marek, and Jan Doroszewski. "Poiseuille flow method for measuring cell-to-cell adhesion." Cell Biophysics 8, no. 2 (1986): 119–30. http://dx.doi.org/10.1007/bf02788476.

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27

Stone, D. C., and J. F. Tyson. "Flow cell and diffusion coefficient effects in flow injection analysis." Analytica Chimica Acta 179 (1986): 427–32. http://dx.doi.org/10.1016/s0003-2670(00)84487-6.

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28

Mazaheri, A. R., B. Zerai, G. Ahmadi, et al. "Computer simulation of flow through a lattice flow-cell model." Advances in Water Resources 28, no. 12 (2005): 1267–79. http://dx.doi.org/10.1016/j.advwatres.2004.10.016.

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29

Bell, Nicholas A. W., and Justin E. Molloy. "Microfluidic flow-cell with passive flow control for microscopy applications." PLOS ONE 15, no. 12 (2020): e0244103. http://dx.doi.org/10.1371/journal.pone.0244103.

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We present a fast, inexpensive and robust technique for constructing thin, optically transparent flow-cells with pump-free flow control. Using layers of glass, patterned adhesive tape and polydimethylsiloxane (PDMS) connections, we demonstrate the fabrication of planar devices with chamber height as low as 25 μm and with millimetre-scale (x,y) dimensions for wide-field microscope observation. The method relies on simple benchtop equipment and does not require microfabrication facilities, glass drilling or other workshop infrastructure. We also describe a gravity perfusion system that exploits the strong capillary action in the flow chamber as a passive limit-valve. Our approach allows simple sequential sample exchange with controlled flow rates, sub-5 μL sample chamber size and zero dead volume. We demonstrate the system in a single-molecule force spectroscopy experiment using magnetic tweezers.

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30

Kakhi, Maziar. "Classification of the flow regimes in the flow-through cell." European Journal of Pharmaceutical Sciences 37, no. 5 (2009): 531–44. http://dx.doi.org/10.1016/j.ejps.2009.04.003.

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31

Delgado, Nuno M., Carlos M. Almeida, Ricardo Monteiro, and Adélio Mendes. "Flow-Through Design for Enhanced Redox Flow Battery Performance." Journal of The Electrochemical Society 169, no. 2 (2022): 020532. http://dx.doi.org/10.1149/1945-7111/ac4f70.

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The high capital cost, driven by the poor performance, still hinders the widespread application of vanadium redox flow batteries. This work compares two different cell designs to demonstrate that the electrolyte flow velocity and pattern is of critical importance to increase the overall battery performance. The Oriented-Distribution-Path (ODP) cell design includes inlet and outlet distribution channels, while the Multi-Distribution-Path (MDP) design does not. The introduction of the distribution channels in the ODP caused the electrolyte flow pattern through the electrode to be less uniform. However, the latter reduced the concentration polarization under high current density and low flow rate conditions. In a charge-discharge cycle comparison, the MDP displayed the highest cell energy efficiency at 80 mA cm−2 and at a flow rate of 300 cm3 min−1. However, the best overall performance was obtained using the ODP at 80 mA cm−2 and a flow rate of 10 cm3 min−1. This work demonstrates that the highest system energy efficiency is achieved when using low flow rates together with a cell design that promotes a high pressure drop. The insights of this study apply to other chemistries making it useful to define guidelines for designing energy-efficient redox flow batteries.

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32

Dong, Cheng, and Xiao X. Lei. "Biomechanics of cell rolling: shear flow, cell-surface adhesion, and cell deformability." Journal of Biomechanics 33, no. 1 (2000): 35–43. http://dx.doi.org/10.1016/s0021-9290(99)00174-8.

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33

Donelli, R., P. Iannelli, S. Chernyshenko, A. Iollo, and L. Zannetti. "Flow Models for a Vortex Cell." AIAA Journal 47, no. 2 (2009): 451–67. http://dx.doi.org/10.2514/1.37662.

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34

Dvořák, Lukáš, and Jiří Nožička. "Counter-Flow Cooling Tower Test Cell." EPJ Web of Conferences 67 (2014): 02024. http://dx.doi.org/10.1051/epjconf/20146702024.

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35

Al-Rubeai, Mohamed, and A. Nicholas Emery. "Flow Cytometry in Animal Cell Culture." Nature Biotechnology 11, no. 5 (1993): 572–79. http://dx.doi.org/10.1038/nbt0593-572.

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36

Fiaccavento, G., P. Belmonte, R. Zucconelli, et al. "Flow cytometry in renal cell carcinoma." Urologia Journal 64, no. 2 (1997): 192–95. http://dx.doi.org/10.1177/039156039706400205.

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– The most important prognostic factors in renal carcinoma are the stage and grade. World literature is full of information on new markers, the analysis of DNA with the cytofluorimetric method being foremost, as it allows the cell lines in the neoplasm to be assessed and at the same time the ploidy and cell cycle stages to be studied. We have found an excellent correlation between the ploidy and cell grade. After a preliminary study we can conclude that the method is easy to perform and to reproduce. The procedure is also interesting for retrospective studies which allow the pathologist to select the blocks to be examined, thereby avoiding those widely contaminated by hemorrhages or necrosis.

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37

Skyllas‐Kazacos, M., M. Rychcik, R. G. Robins, A. G. Fane, and M. A. Green. "New All‐Vanadium Redox Flow Cell." Journal of The Electrochemical Society 133, no. 5 (1986): 1057–58. http://dx.doi.org/10.1149/1.2108706.

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38

Romañach, Rodolfo J., and James A. de Haseth. "Flow Cell CCC/FT-IR Spectrometry." Journal of Liquid Chromatography 11, no. 1 (1988): 133–52. http://dx.doi.org/10.1080/01483919808068319.

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39

Galliano, F., C. O. A. Olsson, and D. Landolt. "Flow Cell for EQCM Adsorption Studies." Journal of The Electrochemical Society 150, no. 11 (2003): B504. http://dx.doi.org/10.1149/1.1613293.

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40

de Andrade, Jo�o Carlos, Kenneth E. Collins, and M�nica Ferreira. "High-performance modular spectrophotometric flow cell." Analyst 116, no. 9 (1991): 905. http://dx.doi.org/10.1039/an9911600905.

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41

Wong, W. "Retrograde Flow for Forward Cell Migration." Science Signaling 7, no. 335 (2014): ec194-ec194. http://dx.doi.org/10.1126/scisignal.2005714.

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42

Wong, W. "Flow into a New Cell Size." Science Signaling 3, no. 148 (2010): ec347-ec347. http://dx.doi.org/10.1126/scisignal.3148ec347.

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43

Wang, Chong, Brendon M. Baker, Christopher S. Chen, and Martin Alexander Schwartz. "Endothelial Cell Sensing of Flow Direction." Arteriosclerosis, Thrombosis, and Vascular Biology 33, no. 9 (2013): 2130–36. http://dx.doi.org/10.1161/atvbaha.113.301826.

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44

Kisilak, Marsha, Heather Anderson, Nathan S. Babcock, MacKenzie R. Stetzer, Stefan H. J. Idziak, and Eric B. Sirota. "An x-ray extensional flow cell." Review of Scientific Instruments 72, no. 11 (2001): 4305–7. http://dx.doi.org/10.1063/1.1412259.

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45

Salloum, Kamil S., and Jonathan D. Posner. "Counter flow membraneless microfluidic fuel cell." Journal of Power Sources 195, no. 19 (2010): 6941–44. http://dx.doi.org/10.1016/j.jpowsour.2010.03.096.

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46

Snabre, P., M. Bitbol, and P. Mills. "Cell disaggregation behavior in shear flow." Biophysical Journal 51, no. 5 (1987): 795–807. http://dx.doi.org/10.1016/s0006-3495(87)83406-9.

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47

Fujiwara, Kitao, J. B. Simeonsson, B. W. Smith, and J. D. Winefordner. "Waveguide capillary flow cell for fluorometry." Analytical Chemistry 60, no. 10 (1988): 1065–68. http://dx.doi.org/10.1021/ac00161a023.

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48

Gray, J. W., F. Dolbeare, M. G. Pallavicini, W. Beisker, and F. Waldman. "Cell Cycle Analysis Using Flow Cytometry." International Journal of Radiation Biology and Related Studies in Physics, Chemistry and Medicine 49, no. 2 (1986): 237–55. http://dx.doi.org/10.1080/09553008514552531.

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49

Vermes, I., C. Haanen, and C. Reutelingsperger. "Flow cytometry of apoptotic cell death." Journal of Immunological Methods 243, no. 1-2 (2000): 167–90. http://dx.doi.org/10.1016/s0022-1759(00)00233-7.

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50

Nusbaum, N. J. "Red cell age by flow cytometry." Medical Hypotheses 48, no. 6 (1997): 469–72. http://dx.doi.org/10.1016/s0306-9877(97)90112-2.

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