Literature DB >> 20383347

Microfluidics-enabled phenotyping, imaging, and screening of multicellular organisms.

Matthew M Crane1, Kwanghun Chung, Jeffrey Stirman, Hang Lu.   

Abstract

This paper reviews the technologies that have been invented in the last few years on high-throughput phenotyping, imaging, screening, and related techniques using microfluidics. The review focuses on the technical challenges and how microfluidics can help to solve these existing problems, specifically discussing the applications of microfluidics to multicellular model organisms. The challenges facing this field include handling multicellular organisms in an efficient manner, controlling the microenvironment and precise manipulation of the local conditions to allow the phenotyping, screening, and imaging of the small animals. Not only does microfluidics have the proper length scale for manipulating these biological entities, but automation has also been demonstrated with these systems, and more importantly the ability to deliver stimuli or alter biophysical/biochemical conditions to the biological entities with good spatial and temporal controls. In addition, integration with and interfacing to other hardware/software allows quantitative approaches. We include several successful examples of microfluidics solving these high-throughput problems. The paper also highlights other applications that can be developed in the future.

Entities:  

Mesh:

Year:  2010        PMID: 20383347     DOI: 10.1039/b927258e

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


  30 in total

1.  The ePetri dish, an on-chip cell imaging platform based on subpixel perspective sweeping microscopy (SPSM).

Authors:  Guoan Zheng; Seung Ah Lee; Yaron Antebi; Michael B Elowitz; Changhuei Yang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-03       Impact factor: 11.205

Review 2.  Phenomics: the next challenge.

Authors:  David Houle; Diddahally R Govindaraju; Stig Omholt
Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

3.  Amplitude-modulated sinusoidal microchannels for observing adaptability in C. elegans locomotion.

Authors:  Archana Parashar; Roy Lycke; John A Carr; Santosh Pandey
Journal:  Biomicrofluidics       Date:  2011-06-17       Impact factor: 2.800

4.  A perspective on optical developments in microfluidic platforms for Caenorhabditis elegans research.

Authors:  Guillaume Aubry; Hang Lu
Journal:  Biomicrofluidics       Date:  2014-02-13       Impact factor: 2.800

5.  Microfluidic devices for studying heterotypic cell-cell interactions and tissue specimen cultures under controlled microenvironments.

Authors:  Ioannis K Zervantonakis; Chandrasekhar R Kothapalli; Seok Chung; Ryo Sudo; Roger D Kamm
Journal:  Biomicrofluidics       Date:  2011-03-30       Impact factor: 2.800

6.  Microfluidic platform integrated with worm-counting setup for assessing manganese toxicity.

Authors:  Beibei Zhang; Yinbao Li; Qidi He; Jun Qin; Yanyan Yu; Xinchun Li; Lin Zhang; Meicun Yao; Junshan Liu; Zuanguang Chen
Journal:  Biomicrofluidics       Date:  2014-09-24       Impact factor: 2.800

7.  A Microfluidic Platform for Longitudinal Imaging in Caenorhabditis elegans.

Authors:  Kyung Suk Lee; Erel Levine
Journal:  J Vis Exp       Date:  2018-05-02       Impact factor: 1.355

8.  Microfluidic trap array for massively parallel imaging of Drosophila embryos.

Authors:  Thomas J Levario; Mei Zhan; Bomyi Lim; Stanislav Y Shvartsman; Hang Lu
Journal:  Nat Protoc       Date:  2013-03-14       Impact factor: 13.491

9.  A microfluidic device to investigate axon targeting by limited numbers of purified cortical projection neuron subtypes.

Authors:  Suzanne Tharin; Chandrasekhar R Kothapalli; Pembe Hande Ozdinler; Lincoln Pasquina; Seok Chung; Johanna Varner; Sarra DeValence; Roger Kamm; Jeffrey D Macklis
Journal:  Integr Biol (Camb)       Date:  2012-11       Impact factor: 2.192

10.  Micro-electro-fluidic grids for nematodes: a lens-less, image-sensor-less approach for on-chip tracking of nematode locomotion.

Authors:  Peng Liu; Richard J Martin; Liang Dong
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

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