Literature DB >> 29675322

Reflective lens-free imaging on high-density silicon microelectrode arrays for monitoring and evaluation of in vitro cardiac contractility.

Thomas Pauwelyn1,2, Richard Stahl2, Lakyn Mayo3, Xuan Zheng2, Andy Lambrechts2, Stefan Janssens4, Liesbet Lagae1,2, Veerle Reumers2, Dries Braeken2.   

Abstract

The high rate of drug attrition caused by cardiotoxicity is a major challenge for drug development. Here, we developed a reflective lens-free imaging (RLFI) approach to non-invasively record in vitro cell deformation in cardiac monolayers with high temporal (169 fps) and non-reconstructed spatial resolution (352 µm) over a field-of-view of maximally 57 mm2. The method is compatible with opaque surfaces and silicon-based devices. Further, we demonstrated that the system can detect the impairment of both contractility and fast excitation waves in cardiac monolayers. Additionally, the RLFI device was implemented on a CMOS-based microelectrode array to retrieve multi-parametric information of cardiac cells, thereby offering more in-depth analysis of drug-induced (cardiomyopathic) effects for preclinical cardiotoxicity screening applications.

Entities:  

Keywords:  (170.2655) Functional monitoring and imaging; (170.3880) Medical and biological imaging

Year:  2018        PMID: 29675322      PMCID: PMC5905926          DOI: 10.1364/BOE.9.001827

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


  44 in total

1.  Simultaneous electrical recording of cardiac electrophysiology and contraction on chip.

Authors:  Fang Qian; Chao Huang; Yi-Dong Lin; Anna N Ivanovskaya; Thomas J O'Hara; Ross H Booth; Cameron J Creek; Heather A Enright; David A Soscia; Anna M Belle; Ronglih Liao; Felice C Lightstone; Kristen S Kulp; Elizabeth K Wheeler
Journal:  Lab Chip       Date:  2017-05-16       Impact factor: 6.799

2.  Single-cell recording and stimulation with a 16k micro-nail electrode array integrated on a 0.18 μm CMOS chip.

Authors:  Roeland Huys; Dries Braeken; Danny Jans; Andim Stassen; Nadine Collaert; Jan Wouters; Josine Loo; Simone Severi; Frank Vleugels; Geert Callewaert; Kris Verstreken; Carmen Bartic; Wolfgang Eberle
Journal:  Lab Chip       Date:  2012-02-15       Impact factor: 6.799

3.  Image-based evaluation of contraction-relaxation kinetics of human-induced pluripotent stem cell-derived cardiomyocytes: Correlation and complementarity with extracellular electrophysiology.

Authors:  Tomohiro Hayakawa; Takeshi Kunihiro; Tomoko Ando; Seiji Kobayashi; Eriko Matsui; Hiroaki Yada; Yasunari Kanda; Junko Kurokawa; Tetsushi Furukawa
Journal:  J Mol Cell Cardiol       Date:  2014-09-23       Impact factor: 5.000

Review 4.  Evolution of strategies to improve preclinical cardiac safety testing.

Authors:  Gary Gintant; Philip T Sager; Norman Stockbridge
Journal:  Nat Rev Drug Discov       Date:  2016-02-19       Impact factor: 84.694

5.  Negative electro-mechanical windows are required for drug-induced Torsades de Pointes in the anesthetized guinea pig.

Authors:  P-J Guns; D M Johnson; E Weltens; J Lissens
Journal:  J Pharmacol Toxicol Methods       Date:  2012-04-09       Impact factor: 1.950

Review 6.  The significance of mitochondrial toxicity testing in drug development.

Authors:  James A Dykens; Yvonne Will
Journal:  Drug Discov Today       Date:  2007-08-22       Impact factor: 7.851

7.  Gene transfer and protein dynamics in stem cells using single cell electroporation in a microfluidic device.

Authors:  A Valero; J N Post; J W van Nieuwkasteele; P M Ter Braak; W Kruijer; A van den Berg
Journal:  Lab Chip       Date:  2007-11-26       Impact factor: 6.799

Review 8.  Predicting drug-induced QT prolongation and torsades de pointes.

Authors:  Dan M Roden
Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

9.  Impedance spectroscopy with field-effect transistor arrays for the analysis of anti-cancer drug action on individual cells.

Authors:  A Susloparova; D Koppenhöfer; X T Vu; M Weil; S Ingebrandt
Journal:  Biosens Bioelectron       Date:  2012-06-26       Impact factor: 10.618

10.  Machine learning plus optical flow: a simple and sensitive method to detect cardioactive drugs.

Authors:  Eugene K Lee; Yosuke K Kurokawa; Robin Tu; Steven C George; Michelle Khine
Journal:  Sci Rep       Date:  2015-07-03       Impact factor: 4.379

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