Extended Data Fig. 1: A web app to allow interactive navigation of heterogeneous bench-testing results. | Nature Methods

Extended Data Fig. 1: A web app to allow interactive navigation of heterogeneous bench-testing results.

From: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Extended Data Fig. 1

Visualization of the Shiny interactive web app (https://linusmg.shinyapps.io/BigNeuron_Gold166/ and https://neuroxiv.net/bigneuron/). The data loaded into the app includes the dataset images, gold standard annotations, automatic reconstructions, and metadata associated with each dataset. Users can interactively choose the image quality and tree morphology metrics used for dimensionality reduction and cluster analysis, and perform reconstruction quality benchmarking. Documentation for the usage of the app can be found at https://github.com/lmanubens/BigNeuron.

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