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Marker-Free Automatic Quantification of Drug-Treated Cardiomyocytes with Digital Holographic Imaging

Title
Marker-Free Automatic Quantification of Drug-Treated Cardiomyocytes with Digital Holographic Imaging
Author(s)
Jaferzadeh, KeyvanRappaz, BenjaminKuttler, FabienKim, Bo kyoungMoon, InkyuMarquet, PierreTurcatti, Gerardo
DGIST Authors
Jaferzadeh, KeyvanRappaz, BenjaminKuttler, FabienKim, Bo kyoungMoon, InkyuMarquet, PierreTurcatti, Gerardo
Issued Date
2020-01
Type
Article
Article Type
Article
Author Keywords
marker-free analysisdrug-treated cardiomyocytesautomated quantificationdigital holographyquantitative phase imaging
Keywords
3-DIMENSIONAL IDENTIFICATIONLIVING CELLSMICROSCOPYCONTRAST
ISSN
2330-4022
Abstract
We use quantitative phase digital holographic microscopy (QP-DHM) to image and quantify the beating movement of cardiomyocytes, derived from induced pluripotent stem cells (iPSCs), in control and drug-treated conditions. The development of an analysis algorithm has allowed extracting from the recorded quantitative phase signal (QPS) a set of several parameters that can efficiently characterize the cardiomyocytes beating patterns. Based on this approach, we monitored the effects of E-4031 (a class III antiarrhythmic drug) and isoprenaline (a common medication for bradycardia and heart block problems) on the cardiomyocyte beating patterns. Our results show that some effects specific to the mode of action of the drugs used can be identified. This stresses that QP-DHM can represent a promising label-free approach to identify new drug candidates by measuring their effects on iPSC-derived cardiomyocytes. © 2019 American Chemical Society.
URI
http://hdl.handle.net/20.500.11750/11429
DOI
10.1021/acsphotonics.9b01152
Publisher
American Chemical Society
Related Researcher
  • 문인규 Moon, Inkyu 로봇및기계전자공학과
  • Research Interests 지능형 영상시스템; AI기반 영상분석; AI기반 암호시스템; Intelligent Imaging Systems; AI-based Image Analysis; AI-based Cryptosystems & Cryptanalysis
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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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