Literature DB >> 18004819

Intuitive, image-based cell sorting using optofluidic cell sorting.

J R Kovac1, J Voldman.   

Abstract

We present a microfluidic cell-sorting device which augments microscopy with the capability to perform facile image-based cell sorting. This combination enables intuitive, complex phenotype sorting based on spatio-temporal fluorescence or cell morphology. The microfluidic device contains a microwell array that can be passively loaded with mammalian cells via sedimentation and can be subsequently inspected with microscopy. After inspection, we use the scattering force from a focused infrared laser to levitate cells of interest from their wells into a flow field for collection. First, we demonstrate image-based sorting predicated on whole-cell fluorescence, which could enable sorting based on temporal whole-cell fluorescence behavior. Second, we demonstrate image-based sorting predicated on fluorescence localization (nuclear vs whole-cell fluorescence), highlighting the capability of our approach to sort based on imaged subcellular events, such as localized protein expression or translocation events. We achieve postsort purities up to 89% and up to 155-fold enrichment of target cells. Optical manipulation literature and a direct cell viability assay suggest that cells remain viable after using our technique. The architecture is highly scalable and supports over 10 000 individually addressable trap sites. Our approach enables sorting of significant populations based on subcellular spatio-temporal information, which is difficult or impossible with existing widespread sorting technologies.

Entities:  

Mesh:

Year:  2007        PMID: 18004819      PMCID: PMC2536524          DOI: 10.1021/ac071366y

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  23 in total

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Authors:  R G Ashcroft; P A Lopez
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2.  Microfluidic sorting in an optical lattice.

Authors:  M P MacDonald; G C Spalding; K Dholakia
Journal:  Nature       Date:  2003-11-27       Impact factor: 49.962

Review 3.  A revolution in optical manipulation.

Authors:  David G Grier
Journal:  Nature       Date:  2003-08-14       Impact factor: 49.962

4.  Microfluidic sorting of mammalian cells by optical force switching.

Authors:  Mark M Wang; Eugene Tu; Daniel E Raymond; Joon Mo Yang; Haichuan Zhang; Norbert Hagen; Bob Dees; Elinore M Mercer; Anita H Forster; Ilona Kariv; Philippe J Marchand; William F Butler
Journal:  Nat Biotechnol       Date:  2004-12-19       Impact factor: 54.908

5.  Massively parallel manipulation of single cells and microparticles using optical images.

Authors:  Pei Yu Chiou; Aaron T Ohta; Ming C Wu
Journal:  Nature       Date:  2005-07-21       Impact factor: 49.962

6.  Cell sorting: divide and conquer.

Authors:  Michael Eisenstein
Journal:  Nature       Date:  2006-06-29       Impact factor: 49.962

7.  A microengraving method for rapid selection of single cells producing antigen-specific antibodies.

Authors:  J Christopher Love; Jehnna L Ronan; Gijsbert M Grotenbreg; Annemarthe G van der Veen; Hidde L Ploegh
Journal:  Nat Biotechnol       Date:  2006-05-14       Impact factor: 54.908

8.  Forces of a single-beam gradient laser trap on a dielectric sphere in the ray optics regime.

Authors:  A Ashkin
Journal:  Biophys J       Date:  1992-02       Impact factor: 4.033

9.  Physiological monitoring of optically trapped cells: assessing the effects of confinement by 1064-nm laser tweezers using microfluorometry.

Authors:  Y Liu; G J Sonek; M W Berns; B J Tromberg
Journal:  Biophys J       Date:  1996-10       Impact factor: 4.033

10.  Comet assay measurements of DNA damage in cells by laser microbeams and trapping beams with wavelengths spanning a range of 308 nm to 1064 nm.

Authors:  S K Mohanty; A Rapp; S Monajembashi; P K Gupta; K O Greulich
Journal:  Radiat Res       Date:  2002-04       Impact factor: 2.841

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  22 in total

1.  Trapping single human osteoblast-like cells from a heterogeneous population using a dielectrophoretic microfluidic device.

Authors:  Rupert S W Thomas; Peter D Mitchell; Richard O C Oreffo; Hywel Morgan
Journal:  Biomicrofluidics       Date:  2010-06-29       Impact factor: 2.800

2.  Isolation and manipulation of living adherent cells by micromolded magnetic rafts.

Authors:  Philip C Gach; Yuli Wang; Colleen Phillips; Christopher E Sims; Nancy L Allbritton
Journal:  Biomicrofluidics       Date:  2011-09-20       Impact factor: 2.800

3.  Use of a virtual wall valve in polydimethylsiloxane microfluidic devices for bioanalytical applications.

Authors:  Hsuan-Hong Lai; Wei Xu; Nancy L Allbritton
Journal:  Biomicrofluidics       Date:  2011-05-05       Impact factor: 2.800

4.  Note: Toward multiple addressable optical trapping.

Authors:  Alexei R Faustov; Michael R Webb; David R Walt
Journal:  Rev Sci Instrum       Date:  2010-02       Impact factor: 1.523

5.  Multiphase ferrofluid flows for micro-particle focusing and separation.

Authors:  Ran Zhou; Cheng Wang
Journal:  Biomicrofluidics       Date:  2016-05-05       Impact factor: 2.800

6.  Dual-mode on-demand droplet routing in multiple microchannels using a magnetic fluid as carrier phase.

Authors:  Jitae Kim; June Won; Simon Song
Journal:  Biomicrofluidics       Date:  2014-09-08       Impact factor: 2.800

7.  Multidimensional analysis of the frequencies and rates of cytokine secretion from single cells by quantitative microengraving.

Authors:  Qing Han; Elizabeth M Bradshaw; Björn Nilsson; David A Hafler; J Christopher Love
Journal:  Lab Chip       Date:  2010-04-08       Impact factor: 6.799

Review 8.  Review of methods to probe single cell metabolism and bioenergetics.

Authors:  Andreas E Vasdekis; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2014-10-31       Impact factor: 9.783

9.  Laser-based directed release of array elements for efficient collection into targeted microwells.

Authors:  Nicholas C Dobes; Rahul Dhopeshwarkar; W Hampton Henley; J Michael Ramsey; Christopher E Sims; Nancy L Allbritton
Journal:  Analyst       Date:  2012-12-05       Impact factor: 4.616

10.  A neural network model for cell classification based on single-cell biomechanical properties.

Authors:  Eric M Darling; Farshid Guilak
Journal:  Tissue Eng Part A       Date:  2008-09       Impact factor: 3.845

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