Literature DB >> 24753720

Quantifying the volume of single cells continuously using a microfluidic pressure-driven trap with media exchange.

Jason Riordon1, Michael Nash1, Wenyang Jing1, Michel Godin2.   

Abstract

We demonstrate a microfluidic device capable of tracking the volume of individual cells by integrating an on-chip volume sensor with pressure-activated cell trapping capabilities. The device creates a dynamic trap by operating in feedback; a cell is periodically redirected back and forth through a microfluidic volume sensor (Coulter principle). Sieve valves are positioned on both ends of the sensing channel, creating a physical barrier which enables media to be quickly exchanged while keeping a cell firmly in place. The volume of individual Saccharomyces cerevisiae cells was tracked over entire growth cycles, and the ability to quickly exchange media was demonstrated.

Entities:  

Year:  2014        PMID: 24753720      PMCID: PMC3977783          DOI: 10.1063/1.4867035

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   2.800


  33 in total

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6.  Pressure-driven perfusion culture microchamber array for a parallel drug cytotoxicity assay.

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7.  Systematic characterization of feature dimensions and closing pressures for microfluidic valves produced via photoresist reflow.

Authors:  P M Fordyce; C A Diaz-Botia; J L DeRisi; R Gomez-Sjoberg
Journal:  Lab Chip       Date:  2012-11-07       Impact factor: 6.799

8.  Simultaneous on-chip DC dielectrophoretic cell separation and quantitative separation performance characterization.

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9.  The oxidative stress response in yeast cells involves changes in the stability of Aft1 regulon mRNAs.

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  5 in total

Review 1.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

2.  Microfluidics platform for measurement of volume changes in immobilized intestinal enteroids.

Authors:  Byung-Ju Jin; Sailaja Battula; Nick Zachos; Olga Kovbasnjuk; Jennifer Fawlke-Abel; Julie In; Mark Donowitz; Alan S Verkman
Journal:  Biomicrofluidics       Date:  2014-04-01       Impact factor: 2.800

Review 3.  Beyond the bulk: disclosing the life of single microbial cells.

Authors:  Katrin Rosenthal; Verena Oehling; Christian Dusny; Andreas Schmid
Journal:  FEMS Microbiol Rev       Date:  2017-11-01       Impact factor: 16.408

4.  Measuring Single-Cell Phenotypic Growth Heterogeneity Using a Microfluidic Cell Volume Sensor.

Authors:  Wenyang Jing; Brendan Camellato; Ian J Roney; Mads Kaern; Michel Godin
Journal:  Sci Rep       Date:  2018-12-13       Impact factor: 4.379

Review 5.  Deep Learning-Enabled Technologies for Bioimage Analysis.

Authors:  Fazle Rabbi; Sajjad Rahmani Dabbagh; Pelin Angin; Ali Kemal Yetisen; Savas Tasoglu
Journal:  Micromachines (Basel)       Date:  2022-02-06       Impact factor: 2.891

  5 in total

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