Literature DB >> 28631799

Droplet control technologies for microfluidic high throughput screening (μHTS).

Muhsincan Sesen1, Tuncay Alan, Adrian Neild.   

Abstract

The transition from micro well plate and robotics based high throughput screening (HTS) to chip based screening has already started. This transition promises reduced droplet volumes thereby decreasing the amount of fluids used in these studies. Moreover, it significantly boosts throughput allowing screening to keep pace with the overwhelming number of molecular targets being discovered. In this review, we analyse state-of-the-art droplet control technologies that exhibit potential to be used in this new generation of screening devices. Since these systems are enclosed and usually planar, even some of the straightforward methods used in traditional HTS such as pipetting and reading can prove challenging to replicate in microfluidic high throughput screening (μHTS). We critically review the technologies developed for this purpose in depth, describing the underlying physics and discussing the future outlooks.

Entities:  

Year:  2017        PMID: 28631799     DOI: 10.1039/c7lc00005g

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  12 in total

Review 1.  Application and prospects of high-throughput screening for in vitro neurogenesis.

Authors:  Shu-Yuan Zhang; Juan Zhao; Jun-Jun Ni; Hui Li; Zhen-Zhen Quan; Hong Qing
Journal:  World J Stem Cells       Date:  2022-06-26       Impact factor: 5.247

2.  Molecular diffusion analysis of dynamic blood flow and plasma separation driven by self-powered microfluidic devices.

Authors:  Sung Oh Woo; Myungkeun Oh; Kyle Nietfeld; Bailey Boehler; Yongki Choi
Journal:  Biomicrofluidics       Date:  2021-05-21       Impact factor: 2.800

3.  Curvature in the reproductive tract alters sperm-surface interactions.

Authors:  Mohammad Reza Raveshi; Melati S Abdul Halim; Sagar N Agnihotri; Moira K O'Bryan; Adrian Neild; Reza Nosrati
Journal:  Nat Commun       Date:  2021-06-08       Impact factor: 14.919

4.  Image-Based Single Cell Sorting Automation in Droplet Microfluidics.

Authors:  Muhsincan Sesen; Graeme Whyte
Journal:  Sci Rep       Date:  2020-05-26       Impact factor: 4.379

5.  Nanoliter Centrifugal Liquid Dispenser Coupled with Superhydrophobic Microwell Array Chips for High-Throughput Cell Assays.

Authors:  Yuyi Wang; Yushuai Wu; Yue Chen; Jianxiong Zhang; Xiaofang Chen; Peng Liu
Journal:  Micromachines (Basel)       Date:  2018-06-06       Impact factor: 2.891

6.  Fluorescent nucleic acid probe in droplets for bacterial sorting (FNAP-sort) as a high-throughput screening method for environmental bacteria with various growth rates.

Authors:  Yuri Ota; Kanako Saito; Taeko Takagi; Satoko Matsukura; Masamune Morita; Satoshi Tsuneda; Naohiro Noda
Journal:  PLoS One       Date:  2019-04-17       Impact factor: 3.240

7.  Customizing droplet contents and dynamic ranges via integrated programmable picodroplet assembler.

Authors:  Pengfei Zhang; Aniruddha Kaushik; Kuangwen Hsieh; Tza-Huei Wang
Journal:  Microsyst Nanoeng       Date:  2019-07-01       Impact factor: 7.127

8.  Accurate high-throughput screening based on digital protein synthesis in a massively parallel femtoliter droplet array.

Authors:  Yi Zhang; Yoshihiro Minagawa; Hiroto Kizoe; Kentaro Miyazaki; Ryota Iino; Hiroshi Ueno; Kazuhito V Tabata; Yasuhiro Shimane; Hiroyuki Noji
Journal:  Sci Adv       Date:  2019-08-21       Impact factor: 14.136

Review 9.  An Overview of Organs-on-Chips Based on Deep Learning.

Authors:  Jintao Li; Jie Chen; Hua Bai; Haiwei Wang; Shiping Hao; Yang Ding; Bo Peng; Jing Zhang; Lin Li; Wei Huang
Journal:  Research (Wash D C)       Date:  2022-01-19

10.  A Microarray Screening Platform with an Experimental Conditions Gradient Generator for the High-Throughput Synthesis of Micro/Nanosized Calcium Phosphates.

Authors:  Xiaoyu Li; Zhifeng Shi; Lei Liu; Guanglin Zhu; Jianhua Zhou; Xuetao Shi; Yingjun Wang
Journal:  Int J Mol Sci       Date:  2020-05-30       Impact factor: 5.923

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