Literature DB >> 18568029

Automated on-chip rapid microscopy, phenotyping and sorting of C. elegans.

Kwanghun Chung1, Matthew M Crane, Hang Lu.   

Abstract

Microscopy, phenotyping and visual screens are frequently applied to model organisms in combination with genetics. Although widely used, these techniques for multicellular organisms have mostly remained manual and low-throughput. Here we report the complete automation of sample handling, high-resolution microscopy, phenotyping and sorting of Caenorhabditis elegans. The engineered microfluidic system, coupled with customized software, has enabled high-throughput, high-resolution microscopy and sorting with no human intervention and may be combined with any microscopy setup. The microchip is capable of robust local temperature control, self-regulated sample-loading and automatic sample-positioning, while the integrated software performs imaging and classification of worms based on morphological and intensity features. We demonstrate the ability to perform sensitive and quantitative screens based on cellular and subcellular phenotypes with over 95% accuracy per round and a rate of several hundred worms per hour. Screening time can be reduced by orders of magnitude; moreover, screening is completely automated.

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Year:  2008        PMID: 18568029     DOI: 10.1038/nmeth.1227

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  140 in total

1.  High-throughput study of synaptic transmission at the neuromuscular junction enabled by optogenetics and microfluidics.

Authors:  Jeffrey N Stirman; Martin Brauner; Alexander Gottschalk; Hang Lu
Journal:  J Neurosci Methods       Date:  2010-06-09       Impact factor: 2.390

2.  Microfluidic chamber arrays for whole-organism behavior-based chemical screening.

Authors:  Kwanghun Chung; Mei Zhan; Jagan Srinivasan; Paul W Sternberg; Emily Gong; Frank C Schroeder; Hang Lu
Journal:  Lab Chip       Date:  2011-09-20       Impact factor: 6.799

Review 3.  Laser microsurgery in Caenorhabditis elegans.

Authors:  Christopher Fang-Yen; Christopher V Gabel; Aravinthan D T Samuel; Cornelia I Bargmann; Leon Avery
Journal:  Methods Cell Biol       Date:  2012       Impact factor: 1.441

4.  On-chip manipulation of single microparticles, cells, and organisms using surface acoustic waves.

Authors:  Xiaoyun Ding; Sz-Chin Steven Lin; Brian Kiraly; Hongjun Yue; Sixing Li; I-Kao Chiang; Jinjie Shi; Stephen J Benkovic; Tony Jun Huang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-25       Impact factor: 11.205

Review 5.  Phenomics: the next challenge.

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

6.  Large-scale in vivo femtosecond laser neurosurgery screen reveals small-molecule enhancer of regeneration.

Authors:  Chrysanthi Samara; Christopher B Rohde; Cody L Gilleland; Stephanie Norton; Stephen J Haggarty; Mehmet Fatih Yanik
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

7.  Caenorhabditis Sieve: A Low-tech Instrument and Methodology for Sorting Small Multicellular Organisms.

Authors:  Skyler Hunter; Malabika Maulik; Courtney Scerbak; Elena Vayndorf; Barbara E Taylor
Journal:  J Vis Exp       Date:  2018-07-04       Impact factor: 1.355

8.  Fluorescence-based sorting of Caenorhabditis elegans via acoustofluidics.

Authors:  Jinxin Zhang; Jessica H Hartman; Chuyi Chen; Shujie Yang; Qi Li; Zhenhua Tian; Po-Hsun Huang; Lin Wang; Joel N Meyer; Tony Jun Huang
Journal:  Lab Chip       Date:  2020-05-19       Impact factor: 6.799

9.  Soft lithography fabrication of index-matched microfluidic devices for reducing artifacts in fluorescence and quantitative phase imaging.

Authors:  Diane N H Kim; Kevin T Kim; Carolyn Kim; Michael A Teitell; Thomas A Zangle
Journal:  Microfluid Nanofluidics       Date:  2017-12-01       Impact factor: 2.529

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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