Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Using Mobile Phones as Acoustic Sensors for High-throughput Surveillance of Mosquito Ecology

Haripriya Mukundarajan, Felix JH Hol, Erica A Castillo, Cooper Newby, Manu Prakash
doi: https://doi.org/10.1101/120519
Haripriya Mukundarajan
1Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Felix JH Hol
2Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erica A Castillo
1Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Cooper Newby
1Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Manu Prakash
2Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: manup@stanford.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/120519
History 
  • March 25, 2017.

Article Versions

  • You are currently viewing Version 1 of this article (March 25, 2017 - 13:25).
  • View Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Haripriya Mukundarajan1,
  2. Felix JH Hol2,
  3. Erica A Castillo1,
  4. Cooper Newby1 and
  5. Manu Prakash2,*
  1. 1Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA
  2. 2Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
  1. ↵*To whom correspondence should be addressed; E-mail: manup{at}stanford.edu.
Back to top
PreviousNext
Posted March 25, 2017.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Using Mobile Phones as Acoustic Sensors for High-throughput Surveillance of Mosquito Ecology
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Using Mobile Phones as Acoustic Sensors for High-throughput Surveillance of Mosquito Ecology
Haripriya Mukundarajan, Felix JH Hol, Erica A Castillo, Cooper Newby, Manu Prakash
bioRxiv 120519; doi: https://doi.org/10.1101/120519
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Using Mobile Phones as Acoustic Sensors for High-throughput Surveillance of Mosquito Ecology
Haripriya Mukundarajan, Felix JH Hol, Erica A Castillo, Cooper Newby, Manu Prakash
bioRxiv 120519; doi: https://doi.org/10.1101/120519

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Ecology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4682)
  • Biochemistry (10357)
  • Bioengineering (7670)
  • Bioinformatics (26330)
  • Biophysics (13523)
  • Cancer Biology (10683)
  • Cell Biology (15438)
  • Clinical Trials (138)
  • Developmental Biology (8497)
  • Ecology (12820)
  • Epidemiology (2067)
  • Evolutionary Biology (16851)
  • Genetics (11399)
  • Genomics (15478)
  • Immunology (10616)
  • Microbiology (25207)
  • Molecular Biology (10220)
  • Neuroscience (54463)
  • Paleontology (401)
  • Pathology (1668)
  • Pharmacology and Toxicology (2897)
  • Physiology (4342)
  • Plant Biology (9243)
  • Scientific Communication and Education (1586)
  • Synthetic Biology (2557)
  • Systems Biology (6780)
  • Zoology (1466)