Literature DB >> 32206385

Diffraction-based technology for the monitoring of contraction dynamics in 3D and 2D tissue models.

Ronan Le Harzic1, Ina Meiser1, Julia C Neubauer1,2, Iris Riemann1, Michael Schiffer1, Frank Stracke1, Heiko Zimmermann1,3,4.   

Abstract

We present a novel optical device developed for the monitoring of dynamic behavior in extended 3D-tissue models in various culture environments based on variations in their speckle patterns. The results presented point out the benefit of the technology in terms of detection, accuracy, sensitivity and a reasonable read-out speed as well as reproducibility for the measurements and monitoring of cardiac contractions. We show that the optical read-out technology is suitable for long time monitoring and for drug screening. The method is discussed and compared to other techniques, in particular calcium imaging. The device is flexible and easily adaptable to 2D and 3D-tissue model screenings using different culture environments. The technology can be parallelized for automated read-out of different multi-well-plate formats.
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2020        PMID: 32206385      PMCID: PMC7041462          DOI: 10.1364/BOE.11.000517

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  29 in total

1.  Impedance-based detection of beating rhythm and proarrhythmic effects of compounds on stem cell-derived cardiomyocytes.

Authors:  Malin K B Jonsson; Qing-Dong Wang; Bruno Becker
Journal:  Assay Drug Dev Technol       Date:  2011-11-15       Impact factor: 1.738

2.  Enrichment of cardiac differentiation of mouse embryonic stem cells by optimizing the hanging drop method.

Authors:  Ming Chen; Yong-Qing Lin; Shuang-Lun Xie; Hong-Fu Wu; Jing-Feng Wang
Journal:  Biotechnol Lett       Date:  2010-12-17       Impact factor: 2.461

3.  Evaluation of cellular impedance measures of cardiomyocyte cultures for drug screening applications.

Authors:  Matthew F Peters; Clay W Scott; Rafal Ochalski; Yvonne P Dragan
Journal:  Assay Drug Dev Technol       Date:  2012-05-10       Impact factor: 1.738

4.  Automated multi-parameter measurement of cardiomyocytes dynamics with digital holographic microscopy.

Authors:  Benjamin Rappaz; Inkyu Moon; Faliu Yi; Bahram Javidi; Pierre Marquet; Gerardo Turcatti
Journal:  Opt Express       Date:  2015-05-18       Impact factor: 3.894

5.  Universal cardiac induction of human pluripotent stem cells in two and three-dimensional formats: implications for in vitro maturation.

Authors:  Miao Zhang; Jan Sebastian Schulte; Alexander Heinick; Ilaria Piccini; Jyoti Rao; Roberto Quaranta; Dagmar Zeuschner; Daniela Malan; Kee-Pyo Kim; Albrecht Röpke; Philipp Sasse; Marcos Araúzo-Bravo; Guiscard Seebohm; Hans Schöler; Larissa Fabritz; Paulus Kirchhof; Frank Ulrich Müller; Boris Greber
Journal:  Stem Cells       Date:  2015-05       Impact factor: 6.277

Review 6.  Facts and fiction: cellular models for high throughput screening for HIV-1 reactivating drugs.

Authors:  Vicente Planelles; Frank Wolschendorf; Olaf Kutsch
Journal:  Curr HIV Res       Date:  2011-12-01       Impact factor: 1.581

7.  Phenotypic Assays for Characterizing Compound Effects on Induced Pluripotent Stem Cell-Derived Cardiac Spheroids.

Authors:  Oksana Sirenko; Michael K Hancock; Carole Crittenden; Matthew Hammer; Sean Keating; Coby B Carlson; Grischa Chandy
Journal:  Assay Drug Dev Technol       Date:  2017 Aug/Sep       Impact factor: 1.738

Review 8.  Human induced pluripotent stem cells and their use in drug discovery for toxicity testing.

Authors:  Clay W Scott; Matthew F Peters; Yvonne P Dragan
Journal:  Toxicol Lett       Date:  2013-03-05       Impact factor: 4.372

Review 9.  3D Cardiac Cell Culture: A Critical Review of Current Technologies and Applications.

Authors:  Christian Zuppinger
Journal:  Front Cardiovasc Med       Date:  2019-06-26

10.  Video image-based analysis of single human induced pluripotent stem cell derived cardiomyocyte beating dynamics using digital image correlation.

Authors:  Antti Ahola; Anna L Kiviaho; Kim Larsson; Markus Honkanen; Katriina Aalto-Setälä; Jari Hyttinen
Journal:  Biomed Eng Online       Date:  2014-04-07       Impact factor: 2.819

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