Cited 2 time in webofscience Cited 2 time in scopus

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
Authors
Jaferzadeh, KeyvanRappaz, BenjaminKuttler, FabienKim, Bo kyoungMoon, InkyuMarquet, PierreTurcatti, Gerardo
DGIST Authors
Jaferzadeh, Keyvan; Rappaz, Benjamin; Kuttler, Fabien; Kim, Bo kyoung; Moon, Inkyu; Marquet, Pierre; Turcatti, Gerardo
Issue Date
2020-01
Citation
ACS Photonics, 7(1), 105-113
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
  • 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


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE