Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning.

No abstract is available for this paper.

• Publication year

  2017

• Venue

  ACS Nano

• Publication date

  2017-02-01

• Fields of study

  Materials Science, Chemistry, Computer Science, Engineering, Medicine

• Identifiers
  DOI 10.1021/acsnano.7b00105PMID 28128933PMCID PMC5451292
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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