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2021

CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation


Abstract

The nanoscale connectomics community has recently generated automated and semi-automated “wiring diagrams” of brain subregions from terabytes and petabytes of dense 3D neuroimagery. This process involves many chal-lenging and imperfect technical steps, including dense 3Dimage segmentation, anisotropic nonrigid image alignment and coregistration, and pixel classification of each neuron and their individual synaptic connections. As data volumes continue to grow in size, and connectome generation becomes increasingly commonplace, it is important that the scientific community isable to rapidly assess the quality and accuracy of a connectome product to promote dataset analysis and reuse. In this work, we share our scalable toolkit for assessing the quality of a connectome reconstruction via targeted inquiry and large-scale graph analysis, and to provide insights into how such connectome proofreading processes may be improved and optimized in the future. We illustrate the applications and ecosystem on a recent reference dataset.

Citation

@INPROCEEDINGS9630109 author=Bishop Caitlyn and Matelsky Jordan and Wilt Miller and Downs Joseph and Rivlin Patricia and Plaza Stephen and Wester Brock and Gray-Roncal William booktitle=2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC) title=CONFIRMS: A Toolkit for Scalable Black Box Connectome Assessment and Investigation year=2021 volume= number= pages=2444-2450 doi=10.1109/EMBC46164.2021.9630109

Citation

@INPROCEEDINGS9630109 author=Bishop Caitlyn and Matelsky Jordan and Wilt Miller and Downs Joseph and Rivlin Patricia and Plaza Stephen and Wester Brock and Gray-Roncal William booktitle=2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC) title=CONFIRMS: A Toolkit for Scalable Black Box Connectome Assessment and Investigation year=2021 volume= number= pages=2444-2450 doi=10.1109/EMBC46164.2021.9630109