Summary: This post summarizes some recent efforts in the fields of neuroscience and computer vision to improve neuronal reconstructions, particularly the DIADEM metric, a measure used to evaluate reconstructions produced by algorithms.
Gillette TA, Brown KM, Ascoli GA. The DIADEM Metric: Comparing multiple reconstructions of the same neuron. Neuroinformatics, 9:233-245 (2011).
Gillette TA, Brown KM, Svoboda K, Liu Y, Ascoli GA. DIADEMchallenge.Org: A Compendium of Resources Fostering the Continuous Development of Automated Neuronal Reconstruction. Neuroinformatics, 9:303–304 (2011).
Almost all fields, particularly in biology, are greatly benefited by having a large data set. Morphological reconstructions of neurons obviously benefit the study of neuronal morphology, but also the related fields of neuron growth, neuron function with regards to drug and/or dysfunction, connectomics, among many others. Until recently reconstructions were generated and analyzed for a particular study, occasionally being reused when another lab requested it or for a follow-up study. NeuroMorpho.Org helped to change this by bringing together reconstructions from labs around the world doing a variety of experiments. Now will over 10,000 reconstructions there are many questions that can be asked that could not be before so many were brought together.
Nonetheless, 10,000 is not so many when one considers the vast diversity of …