Cited 1 time in webofscience Cited 2 time in scopus

Automated quantification study of human cardiomyocyte synchronization using holographic imaging

Title
Automated quantification study of human cardiomyocyte synchronization using holographic imaging
Authors
Moon, InkyuAhmadzadeh, EzatKeyvan, JaferzadehKim, Namgon
DGIST Authors
Moon, Inkyu
Issue Date
2019-02
Citation
Biomedical Optics Express, 10(2), 610-621
Type
Article
Article Type
Article
Keywords
CELL-DERIVED CARDIOMYOCYTESNUMERICAL RECONSTRUCTIONIDENTIFICATIONMICROSCOPYDYNAMICSTIME
ISSN
2156-7085
Abstract
This paper investigates the rhythm strip and parameters of synchronization of human induced pluripotent stem cell (iPS) derived cardiomyocytes. The synchronization is evaluated from quantitative phase images of beating cardiomyocytes which are obtained using the time-lapse digital holographic imaging method. By quantitatively monitoring the dry mass redistribution, digital holography provides the physical contraction-relaxation signal caused by autonomous cardiac action potential. In order to analyze the synchronicity at the cell-to-cell level, we extracted single cardiac muscle cells, which contain the nuclei, from the phase images of cardiomyocytes containing multiple cells resulting from the fusion of k-means clustering and watershed segmentation algorithms. We demonstrate that mature cardiomyocyte cell synchronization can be automatically evaluated by time-lapse microscopic holographic imaging. Our proposed method can be applied for studies on cardiomyocyte disorders and drug safety testing systems. © 2019 Optical Society of America.
URI
http://hdl.handle.net/20.500.11750/9606
DOI
10.1364/BOE.10.000610
Publisher
The Optical Society
Related Researcher
  • Author Moon, Inkyu Intelligent Imaging and Vision Systems Laboratory
  • Research Interests
Files:
Collection:
Department of Robotics EngineeringIntelligent Imaging and Vision Systems Laboratory1. Journal Articles


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