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Title: Nanochannel arrays and their preparation and use for high throughput macromolecular analysis

Abstract

Nanochannel arrays that enable high-throughput macromolecular analysis are disclosed. Also disclosed are methods of preparing nanochannel arrays and nanofluidic chips. Methods of analyzing macromolecules, such as entire strands of genomic DNA, are also disclosed, as well as systems for carrying out these methods.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
Princeton Univ., NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1531921
Patent Number(s):
9389217
Application Number:
14/223,589
Assignee:
The Trustees of Princeton University (Princeton, NJ)
Resource Type:
Patent
Resource Relation:
Patent File Date: 2014-03-24
Country of Publication:
United States
Language:
English

Citation Formats

Austin, Robert H., Yu, Zhaoning, Tegenfeldt, Jonas O., Chou, Stephen Y., and Cao, Han. Nanochannel arrays and their preparation and use for high throughput macromolecular analysis. United States: N. p., 2016. Web.
Austin, Robert H., Yu, Zhaoning, Tegenfeldt, Jonas O., Chou, Stephen Y., & Cao, Han. Nanochannel arrays and their preparation and use for high throughput macromolecular analysis. United States.
Austin, Robert H., Yu, Zhaoning, Tegenfeldt, Jonas O., Chou, Stephen Y., and Cao, Han. Tue . "Nanochannel arrays and their preparation and use for high throughput macromolecular analysis". United States. https://www.osti.gov/servlets/purl/1531921.
@article{osti_1531921,
title = {Nanochannel arrays and their preparation and use for high throughput macromolecular analysis},
author = {Austin, Robert H. and Yu, Zhaoning and Tegenfeldt, Jonas O. and Chou, Stephen Y. and Cao, Han},
abstractNote = {Nanochannel arrays that enable high-throughput macromolecular analysis are disclosed. Also disclosed are methods of preparing nanochannel arrays and nanofluidic chips. Methods of analyzing macromolecules, such as entire strands of genomic DNA, are also disclosed, as well as systems for carrying out these methods.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {7}
}