Quantification of stored red blood cell fluctuations by time-lapse holographic cell imaging.
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Jaferzadeh K
Department of Robotics Engineering, DGIST, 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 42988, South Korea.
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Moon I
Department of Robotics Engineering, DGIST, 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 42988, South Korea.
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Bardyn M
Transfusion Interrégionale CRS, Laboratoire de Recherche sur les Produits Sanguins, Epalinges, Switzerland.
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Prudent M
Transfusion Interrégionale CRS, Laboratoire de Recherche sur les Produits Sanguins, Epalinges, Switzerland.
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Tissot JD
Transfusion Interrégionale CRS, Laboratoire de Recherche sur les Produits Sanguins, Epalinges, Switzerland.
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Rappaz B
Biomolecular Screening Facility, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
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Javidi B
Department of Electrical and Computer Engineering, U-2157, University of Connecticut, Storrs, CT 06269, USA.
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Turcatti G
Biomolecular Screening Facility, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
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Marquet P
Centre de recherche CERVO, 2601 chemin de la Canardière, Québec, QC G1J 2G3, Canada.
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Published in:
- Biomedical optics express. - 2018
English
We propose methods to quantitatively calculate the fluctuation rate of red blood cells with nanometric axial and millisecond temporal sensitivity at the single-cell level by using time-lapse holographic cell imaging. For this quantitative analysis, cell membrane fluctuations (CMFs) were measured for RBCs stored at different storage times. Measurements were taken over the whole membrane for both the ring and dimple sections separately. The measurements show that healthy RBCs that maintain their discocyte shape become stiffer with storage time. The correlation analysis demonstrates a significant negative correlation between CMFs and the sphericity coefficient, which characterizes the morphological type of erythrocyte. In addition, we show the correlation results between CMFs and other morphological properties such as projected surface area, surface area, mean corpuscular volume, and mean corpuscular hemoglobin.
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Language
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Open access status
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green
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Identifiers
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Persistent URL
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https://sonar.ch/global/documents/16350
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