Literature DB >> 20023788

Integration column: Microfluidic high-throughput screening.

Sebastian J Maerkl1.   

Abstract

Biology has always been a heavily technology limited field. Burgeoning fields such as systems biology require the development and implementation of new technologies, enabling high-throughput and high-fidelity measurements of large systems. Microfluidics promises to fulfil many of the requirements put forth. Here I will discuss the various approaches employed to date for performing high-throughput screening experiments on-chip, encompassing biochemical, biophysical, and cell-based assays.

Mesh:

Year:  2008        PMID: 20023788     DOI: 10.1039/b819762h

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  7 in total

1.  Automation of three-dimensional cell culture in arrayed microfluidic devices.

Authors:  Sara I Montanez-Sauri; Kyung Eun Sung; John P Puccinelli; Carolyn Pehlke; David J Beebe
Journal:  J Lab Autom       Date:  2011-05-16

2.  High-throughput protein expression generator using a microfluidic platform.

Authors:  Yair Glick; Dorit Avrahami; Efrat Michaely; Doron Gerber
Journal:  J Vis Exp       Date:  2012-08-23       Impact factor: 1.355

3.  Image-based feedback control for real-time sorting of microspheres in a microfluidic device.

Authors:  Matthew S Munson; James M Spotts; Antti Niemistö; Jyrki Selinummi; Jason G Kralj; Marc L Salit; Adrian Ozinsky
Journal:  Lab Chip       Date:  2010-06-30       Impact factor: 6.799

Review 4.  Fabrication approaches for high-throughput and biomimetic disease modeling.

Authors:  Mackenzie L Grubb; Steven R Caliari
Journal:  Acta Biomater       Date:  2021-03-11       Impact factor: 10.633

5.  Long-term single cell analysis of S. pombe on a microfluidic microchemostat array.

Authors:  Jean-Bernard Nobs; Sebastian J Maerkl
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

6.  Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation.

Authors:  Kyriacos Yiannacou; Vipul Sharma; Veikko Sariola
Journal:  Langmuir       Date:  2022-09-13       Impact factor: 4.331

7.  Convergence in parameters and predictions using computational experimental design.

Authors:  David R Hagen; Jacob K White; Bruce Tidor
Journal:  Interface Focus       Date:  2013-08-06       Impact factor: 3.906

  7 in total

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