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

  • Keyvan Jaferzadeh
  • , Benjamin Rappaz
  • , Fabien Kuttler
  • , Bo Kyoung Kim
  • , Inkyu Moon
  • , Pierre Marquet
  • , Gerardo Turcatti

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

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.

Original languageEnglish
Pages (from-to)105-113
Number of pages9
JournalACS Photonics
Volume7
Issue number1
DOIs
StatePublished - 15 Jan 2020

Bibliographical note

Publisher Copyright:
Copyright © 2019 American Chemical Society.

Keywords

  • automated quantification
  • digital holography
  • drug-treated cardiomyocytes
  • marker-free analysis
  • quantitative phase imaging

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