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Supplementary Video 1. Fast, versatile and quantitative annotation of complex images

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posted on 2019-06-04, 09:12 authored by Kathleen BatesKathleen Bates, Shen Jiang, Shivesh Chaudhary, Emily Jackson-Holmes, Melinda L Jue, Erin McCaskey, Daniel I Goldman, Hang Lu

Supplementary Video 1. Fast, versatile and quantitative annotation of complex images

Demonstration of example app usage. Users simply trace features of interest with a finger or stylus and upload them to the cloud. Users can also report images that don’t match the anticipated pattern (in this case, images that don’t look like worms). Movie is in real time.

Funding

KB received funding from the National Institute of General Medical Sciences (US NIGMS), award number F31 GM123662. HL received funding from the National Institute of General Medical Sciences (US NIGMS), award number R01GM088333 and the US National Science Foundation STC EBICS 0939511. Some C. elegans strains were provided by the CGC, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440)

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    BioTechniques

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    Keywords

    behaviorCaenorhabditis elegansimage analysisroot systemssoftwaresmartphone appstem cell aggregatesBiological Sciences not elsewhere classifiedBiochemistry and Cell Biology not elsewhere classified

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