Literature DB >> 18615599

Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy, and impedance volume analyzer.

Benjamin Rappaz1, Alexander Barbul, Yves Emery, Rafi Korenstein, Christian Depeursinge, Pierre J Magistretti, Pierre Marquet.   

Abstract

Red blood cell (RBC) parameters such as morphology, volume, refractive index, and hemoglobin content are of great importance for diagnostic purposes. Existing approaches require complicated calibration procedures and robust cell perturbation. As a result, reference values for normal RBC differ depending on the method used. We present a way for measuring parameters of intact individual RBCs by using digital holographic microscopy (DHM), a new interferometric and label-free technique with nanometric axial sensitivity. The results are compared with values achieved by conventional techniques for RBC of the same donor and previously published figures. A DHM equipped with a laser diode (lambda = 663 nm) was used to record holograms in an off-axis geometry. Measurements of both RBC refractive indices and volumes were achieved via monitoring the quantitative phase map of RBC by means of a sequential perfusion of two isotonic solutions with different refractive indices obtained by the use of Nycodenz (decoupling procedure). Volume of RBCs labeled by membrane dye Dil was analyzed by confocal microscopy. The mean cell volume (MCV), red blood cell distribution width (RDW), and mean cell hemoglobin concentration (MCHC) were also measured with an impedance volume analyzer. DHM yielded RBC refractive index n = 1.418 +/- 0.012, volume 83 +/- 14 fl, MCH = 29.9 pg, and MCHC 362 +/- 40 g/l. Erythrocyte MCV, MCH, and MCHC achieved by an impedance volume analyzer were 82 fl, 28.6 pg, and 349 g/l, respectively. Confocal microscopy yielded 91 +/- 17 fl for RBC volume. In conclusion, DHM in combination with a decoupling procedure allows measuring noninvasively volume, refractive index, and hemoglobin content of single-living RBCs with a high accuracy. Copyright 2008 International Society for Advancement of Cytometry.

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Year:  2008        PMID: 18615599     DOI: 10.1002/cyto.a.20605

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  37 in total

1.  Label-free characterization of white blood cells by measuring 3D refractive index maps.

Authors:  Jonghee Yoon; Kyoohyun Kim; HyunJoo Park; Chulhee Choi; Seongsoo Jang; YongKeun Park
Journal:  Biomed Opt Express       Date:  2015-09-09       Impact factor: 3.732

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Authors:  Pierre Marquet; Christian Depeursinge; Pierre J Magistretti
Journal:  Neurophotonics       Date:  2014-09-22       Impact factor: 3.593

3.  Erythrocyte volumetric measurements in imaging flow cytometry using simultaneous three-wavelength digital holographic microscopy.

Authors:  Nir A Turko; Natan T Shaked
Journal:  Biomed Opt Express       Date:  2020-10-22       Impact factor: 3.732

4.  Changes in optical properties of electroporated cells as revealed by digital holographic microscopy.

Authors:  Violeta L Calin; Mona Mihailescu; Nicolae Mihale; Alexandra V Baluta; Eugenia Kovacs; Tudor Savopol; Mihaela G Moisescu
Journal:  Biomed Opt Express       Date:  2017-03-16       Impact factor: 3.732

5.  Red blood cells ageing markers: a multi-parametric analysis.

Authors:  Manon Bardyn; Benjamin Rappaz; Keyvan Jaferzadeh; David Crettaz; Jean-Daniel Tissot; Inkyu Moon; Gerardo Turcatti; Niels Lion; Michel Prudent
Journal:  Blood Transfus       Date:  2017-05       Impact factor: 3.443

6.  Quantification of stored red blood cell fluctuations by time-lapse holographic cell imaging.

Authors:  Keyvan Jaferzadeh; Inkyu Moon; Manon Bardyn; Michel Prudent; Jean-Daniel Tissot; Benjamin Rappaz; Bahram Javidi; Gerardo Turcatti; Pierre Marquet
Journal:  Biomed Opt Express       Date:  2018-09-10       Impact factor: 3.732

7.  Wavefront division digital holographic microscopy.

Authors:  Nimit Patel; Vismay Trivedi; Swapnil Mahajan; Vani Chhaniwal; Corinne Fournier; Seonoh Lee; Bahram Javidi; Arun Anand
Journal:  Biomed Opt Express       Date:  2018-05-23       Impact factor: 3.732

8.  Mature red blood cells: from optical model to inverse light-scattering problem.

Authors:  Konstantin V Gilev; Maxim A Yurkin; Ekaterina S Chernyshova; Dmitry I Strokotov; Andrei V Chernyshev; Valeri P Maltsev
Journal:  Biomed Opt Express       Date:  2016-03-15       Impact factor: 3.732

9.  Shape of red blood cells in contact with artificial surfaces.

Authors:  Richards Grzhibovskis; Elisabeth Krämer; Ingolf Bernhardt; Björn Kemper; Carl Zanden; Nikolay V Repin; Bogdan V Tkachuk; Marina V Voinova
Journal:  Eur Biophys J       Date:  2016-06-17       Impact factor: 1.733

10.  Label-free fingerprinting of tumor cells in bulk flow using inline digital holographic microscopy.

Authors:  Dhananjay Kumar Singh; Caroline C Ahrens; Wei Li; Siva A Vanapalli
Journal:  Biomed Opt Express       Date:  2017-01-04       Impact factor: 3.732

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