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Fast, versatile and quantitative annotation of complex images.
Biotechniques ( IF 2.2 ) Pub Date : 2019-04-24 , DOI: 10.2144/btn-2019-0010
Kathleen Bates 1, 2 , Shen Jiang 3 , Shivesh Chaudhary 2 , Emily Jackson-Holmes 2 , Melinda L Jue 2 , Erin McCaskey 3 , Daniel I Goldman 4 , Hang Lu 1, 2
Affiliation  

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.

中文翻译:

快速,通用和定量地标注复杂图像。

我们报告了一个通用的智能手机应用程序,用于对复杂图像进行定量注释。该应用程序足够简单,可以供儿童使用,并且注释任务分布在各个应用程序用户之间,有助于实现高效注释。我们通过注释> 30,000张图像来证明其灵活性和速度,包括水稻根部生长和结构,干细胞聚集体形态以及复杂蠕虫(Caenorhabditis elegans)姿势的特征,为此我们显示注释速度快了> 130倍比具有类似准确性的最新技术。
更新日期:2020-08-21
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