Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Mobile Image Ratiometry for the Detection of Botrytis cinerea (Gray Mold)


Mobile Platform Informatics (MPI) and Smartphone Informatics (SPI) methods like Mobile Image Ratiometry (MIR) are potentially transformative point-of-use instantaneous analysis tools that are useful across a variety of industries. In agriculture, MIR-compatible immuno test strips allow early detection of a number of biotic stressors before devastating crop losses occur. Here we describe a low-cost and easy-to-use Smartphone and/or tablet-based protocol (Mobile Assay Inc., for the detection and on-sight instantaneous analysis of B. cinerea, a fungus that causes significant damage to a variety of plants and flowers. Early detection and tracking of the B. cinerea fungus before the visible gray mold appears has the potential to increase agricultural productivity especially in the developing world.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Donald Cooper Ph.D..

Rights and permissions

Creative Commons Attribution 3.0 License.

Reprints and Permissions

About this article

Cite this article

Cooper, D. Mobile Image Ratiometry for the Detection of Botrytis cinerea (Gray Mold). Nat Prec (2012).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Mobileassay
  • Instantaneous Analysis
  • Mobile Platform Infomatics
  • Smartphone Informatics
  • Mobile Applications
  • biotic stressors
  • MIR

Further reading


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing