Fast, versatile and quantitative annotation of complex images

Autor:	Kathleen Bates, Shen Jiang, Shivesh Chaudhary, Emily Jackson-Holmes, Melinda L Jue, Erin McCaskey, Daniel I Goldman, Hang Lu
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	behavior Caenorhabditis elegans image analysis root systems software smartphone app Biology (General) QH301-705.5
Zdroj:	BioTechniques, Vol 66, Iss 6, Pp 269-275 (2019)
Druh dokumentu:	article
ISSN:	1940-9818 0736-6205
DOI:	10.2144/btn-2019-0010
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/e678a2d40d1645d398ba44be7cfaf60d Zobrazit plný text záznamu View record in DOAJ