PT  - JOURNAL ARTICLE
AU  - Kathleen Bates
AU  - Shen Jiang
AU  - Ruth Bates
AU  - Shivesh Chaudhary
AU  - Emily Jackson-Holmes
AU  - Melinda Jue
AU  - Erin McCaskey
AU  - Daniel Goldman
AU  - Hang Lu
TI  - Fast, versatile, and quantitative annotation of complex images
AID  - 10.1101/391169
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 391169
4099  - http://biorxiv.org/content/early/2018/08/13/391169.short
4100  - http://biorxiv.org/content/early/2018/08/13/391169.full
AB  - 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 (C. elegans) postures, for which we show that the speed of annotation is >130-fold faster than state-of-the-art techniques with similar accuracy.