Literature DB >> 17883208

Parametric-equation representation of biconcave erythrocytes.

P W Kuchel1, E D Fackerell.   

Abstract

The representation of the shape of a biconcave erythrocyte by a set of three parametric equations was achieved by using the expressions that transform the curvilinear coordinates from the disc-cyclide coordinate system [denoted J2R; Moon and Spencer (1988), Field Theory Handbook, Springer-Verlag, Berlin] to Cartesian coordinates. The equations are products of elliptic functions, so the challenge was to relate the three major 'shape-defining' measurements of the human erythrocyte in Cartesian coordinates to three parameters in the new curvilinear coordinates, to give a realistic representation of the shape of the membrane-surface. The relationships between the coefficients of the Cartesian degree-4 surface that describes the discocyte and the coordinate transformation equations were derived with the aid of Mathematica; and the membrane-surface of the cell was drawn using the ParametricPlot3D function in this 'package'. By having the erythrocyte shape expressed in its new form it is readily amenable to further transformations that might be used to model those changes in shape that are seen when the cells are immersed in media of various osmolalities, or when they change metabolic 'states'. On the other hand, the relationship between the coefficients of the Cartesian expression for the disc-cyclide surface is relevant to image analysis of erythrocytes, as determined by physical methods that rely on Cartesian imaging 'slices'. These methods include confocal microscopy and various nuclear magnetic resonance microimaging procedures.

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Year:  1999        PMID: 17883208     DOI: 10.1006/bulm.1998.0064

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  8 in total

1.  Simulations of molecular diffusion in lattices of cells: insights for NMR of red blood cells.

Authors:  David G Regan; Philip W Kuchel
Journal:  Biophys J       Date:  2002-07       Impact factor: 4.033

2.  Erythrocyte orientational and cell volume effects on NMR q-space analysis: simulations of restricted diffusion.

Authors:  Timothy J Larkin; Philip W Kuchel
Journal:  Eur Biophys J       Date:  2009-04-28       Impact factor: 1.733

3.  Generative optical modeling of whole blood for detecting platelets in lens-free images.

Authors:  Benjamin D Haeffele; Christian Pick; Ziduo Lin; Evelien Mathieu; Stuart C Ray; René Vidal
Journal:  Biomed Opt Express       Date:  2020-03-05       Impact factor: 3.732

Review 4.  Blood oxygenation level-dependent (BOLD)-based techniques for the quantification of brain hemodynamic and metabolic properties - theoretical models and experimental approaches.

Authors:  Dmitriy A Yablonskiy; Alexander L Sukstanskii; Xiang He
Journal:  NMR Biomed       Date:  2012-08-28       Impact factor: 4.044

5.  High-fidelity optical diffraction tomography of multiple scattering samples.

Authors:  Joowon Lim; Ahmed B Ayoub; Elizabeth E Antoine; Demetri Psaltis
Journal:  Light Sci Appl       Date:  2019-09-11       Impact factor: 17.782

6.  Enhanced Ca2+ influx in mechanically distorted erythrocytes measured with 19F nuclear magnetic resonance spectroscopy.

Authors:  Philip W Kuchel; Konstantin Romanenko; Dmitry Shishmarev; Petrik Galvosas; Charles D Cox
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.996

7.  Surface model of the human red blood cell simulating changes in membrane curvature under strain.

Authors:  Philip W Kuchel; Charles D Cox; Daniel Daners; Dmitry Shishmarev; Petrik Galvosas
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.379

8.  Accelerating metabolism and transmembrane cation flux by distorting red blood cells.

Authors:  Philip W Kuchel; Dmitry Shishmarev
Journal:  Sci Adv       Date:  2017-10-18       Impact factor: 14.136

  8 in total

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