Literature DB >> 26169025

Implementation and Challenges of Direct Acoustic Dosing into Cell-Based Assays.

Karen Roberts1, Rowena Callis2, Tim Ikeda3, Amalia Paunovic4, Carly Simpson2, Eric Tang2, Nick Turton2, Graeme Walker2.   

Abstract

Since the adoption of Labcyte Echo Acoustic Droplet Ejection (ADE) technology by AstraZeneca in 2005, ADE has become the preferred method for compound dosing into both biochemical and cell-based assays across AstraZeneca research and development globally. The initial implementation of Echos and the direct dosing workflow provided AstraZeneca with a unique set of challenges. In this article, we outline how direct Echo dosing has evolved over the past decade in AstraZeneca. We describe the practical challenges of applying ADE technology to 96-well, 384-well, and 1536-well assays and how AstraZeneca developed and applied software and robotic solutions to generate fully automated and effective cell-based assay workflows.
© 2015 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  Echo; acoustic technology; cell assay; dose response

Mesh:

Substances:

Year:  2015        PMID: 26169025     DOI: 10.1177/2211068215595212

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  4 in total

1.  Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays.

Authors:  Jacqueline Naylor; Alessandra Rossi; Christopher Brankin; David C Hornigold
Journal:  J Vis Exp       Date:  2016-11-10       Impact factor: 1.355

2.  Miniaturization and optimization of 384-well compatible RNA sequencing library preparation.

Authors:  Madeline Y Mayday; Lillian M Khan; Eric D Chow; Matt S Zinter; Joseph L DeRisi
Journal:  PLoS One       Date:  2019-01-10       Impact factor: 3.240

3.  Transforming early pharmaceutical assessment of genotoxicity: applying statistical learning to a high throughput, multi end point in vitro micronucleus assay.

Authors:  Amy Wilson; Piotr Grabowski; Joanne Elloway; Stephanie Ling; Jonathan Stott; Ann Doherty
Journal:  Sci Rep       Date:  2021-01-28       Impact factor: 4.379

Review 4.  Computer vision-aided bioprinting for bone research.

Authors:  Changxi Liu; Liqiang Wang; Weijie Lu; Jia Liu; Chengliang Yang; Chunhai Fan; Qian Li; Yujin Tang
Journal:  Bone Res       Date:  2022-02-25       Impact factor: 13.362

  4 in total

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