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Printing Multistrain Bacterial Patterns with a Piezoelectric Inkjet Printer

Overview of attention for article published in PLOS ONE, July 2007
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Title
Printing Multistrain Bacterial Patterns with a Piezoelectric Inkjet Printer
Published in
PLOS ONE, July 2007
DOI 10.1371/journal.pone.0000663
Pubmed ID
Authors

Jack Merrin, Stanislas Leibler, John S. Chuang

Abstract

Many studies involving interacting microorganisms would benefit from simple devices able to deposit cells in precisely defined patterns. We describe an inexpensive bacterial piezoelectric inkjet printer (adapted from the design of the POSaM oligonucleotide microarrayer) that can be used to "print out" different strains of bacteria or chemicals in small droplets onto a flat surface at high resolution. The capabilities of this device are demonstrated by printing ordered arrays comprising two bacterial strains labeled with different fluorescent proteins. We also characterized several properties of this piezoelectric printer, such as the droplet volume (of the order of tens of pl), the distribution of number of cells in each droplet, and the dependence of droplet volume on printing frequency. We established the limits of the printing resolution, and determined that the printed viability of Escherichia coli exceeded 98.5%.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
France 2 2%
Italy 1 <1%
Australia 1 <1%
Saudi Arabia 1 <1%
India 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 114 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 23%
Researcher 28 22%
Student > Bachelor 11 9%
Other 10 8%
Professor > Associate Professor 10 8%
Other 23 18%
Unknown 16 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 34%
Engineering 23 18%
Physics and Astronomy 11 9%
Biochemistry, Genetics and Molecular Biology 9 7%
Chemistry 9 7%
Other 14 11%
Unknown 19 15%