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Biotechniques. 2019 Jun 1;66(6):269-275. doi: 10.2144/btn-2019-0010. Epub 2019 Apr 24.

Fast, versatile and quantitative annotation of complex images.

Author information

1
Interdisciplinary Program in Bioengineering, Georgia Institute of Technology, Atlanta, GA, USA.
2
School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
3
School of Computer Science, Georgia Institute of Technology, Atlanta, GA, USA.
4
School of Physics, Georgia Institute of Technology, Atlanta, GA, USA.

Abstract

We report a generic smartphone app for quantitative annotation of complex images. The app is simple enough to be used by children, and annotation tasks are distributed across app users, contributing to efficient annotation. We demonstrate its flexibility and speed by annotating >30,000 images, including features of rice root growth and structure, stem cell aggregate morphology, and complex worm (Caenorhabditis elegans) postures, for which we show that the speed of annotation is >130-fold faster than state-of-the-art techniques with similar accuracy.

KEYWORDS:

; behavior; image analysis; root systems; smartphone app; software; stem cell aggregates

PMID:
31014084
DOI:
10.2144/btn-2019-0010
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