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

Title
Quantification of stored red blood cell fluctuations by time-lapse holographic cell imaging
Author(s)
Jaferzadeh, KeyvanMoon, InkyuBardyn, ManonPrudent, MichelTissot, Jean-DanielRappaz, BenjaminJavidi, BahramTurcatti, GerardoMarquet, Pierre
DGIST Authors
Jaferzadeh, KeyvanMoon, InkyuBardyn, ManonPrudent, MichelTissot, Jean-DanielRappaz, BenjaminJavidi, BahramTurcatti, GerardoMarquet, Pierre
Issued Date
2018-10
Type
Article
Article Type
Article
Keywords
MEMBRANE FLUCTUATIONSDIGITAL HOLOGRAPHYHUMAN ERYTHROCYTESREFRACTIVE-INDEXLIVING CELLSMICROSCOPYSTORAGEIDENTIFICATIONCONTRASTDYNAMICS
ISSN
2156-7085
Abstract
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. © 2018, OSA - The Optical Society. All rights reserved.
URI
http://hdl.handle.net/20.500.11750/9378
DOI
10.1364/BOE.9.004714
Publisher
The Optical Society
Related Researcher
  • 문인규 Moon, Inkyu
  • Research Interests 지능형 영상시스템; AI기반 영상분석; AI기반 암호시스템; Intelligent Imaging Systems; AI-based Image Analysis; AI-based Cryptosystems & Cryptanalysis
Files in This Item:
000446188200011.pdf

000446188200011.pdf

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Appears in Collections:
Department of Robotics and Mechatronics Engineering Intelligent Imaging and Vision Systems Laboratory 1. Journal Articles

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