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Automated quantitative analysis of multiple cardiomyocytes at the single-cell level with three-dimensional holographic imaging informatics

Title
Automated quantitative analysis of multiple cardiomyocytes at the single-cell level with three-dimensional holographic imaging informatics
Authors
Moon, InkyuJaferzadeh, KeyvanAhmadzadeh, EzatJavidi, Bahram
DGIST Authors
Moon, Inkyu
Issue Date
2018-12
Citation
Journal of Biophotonics, 11(12), 1-12
Type
Article
Article Type
Article
Author Keywords
3-dimensional image processingcardiac single-cell analysiscardiomyocyte image segmentationdigital holographic cell imaging
Keywords
MEANS CLUSTERING-ALGORITHMRED-BLOOD-CELLSSEGMENTATIONMICROSCOPY
ISSN
1864-063X
Abstract
Cardiomyocytes derived from human pluripotent stem cells are a promising tool for disease modeling, drug compound testing, and cardiac toxicity screening. Bio-image segmentation is a prerequisite step in cardiomyocyte image analysis by digital holography (DH) in microscopic configuration and has provided satisfactory results. In this study, we quantified multiple cardiac cells from segmented 3-dimensional DH images at the single-cell level and measured multiple parameters describing the beating profile of each individual cell. The beating profile is extracted by monitoring dry-mass distribution during the mechanical contraction-relaxation activity caused by cardiac action potential. We present a robust two-step segmentation method for cardiomyocyte low-contrast image segmentation based on region and edge information. The segmented single-cell contains mostly the nucleus of the cell since it is the best part of the cardiac cell, which can be perfectly segmented. Clustering accuracy was assessed by a silhouette index evaluation for k-means clustering and the Dice similarity coefficient (DSC) of the final segmented image. 3D representation of single of cardiomyocytes. The cell contains mostly the nucleus section and a small area of cytoplasm. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
URI
http://hdl.handle.net/20.500.11750/9371
DOI
10.1002/jbio.201800116
Publisher
Wiley - VCH Verlag GmbH & CO. KGaA
Related Researcher
  • Author Moon, Inkyu Intelligent Imaging and Vision Systems Laboratory
  • Research Interests
Files:
There are no files associated with this item.
Collection:
Department of Robotics EngineeringIntelligent Imaging and Vision Systems Laboratory1. Journal Articles


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