neu Print: Analysis Tools for EM Connectomics

Jody Clements, Tom Dolafi, Lowell A. Umayam, Nicole L. Neubarth, Stuart Berg, Louis K. Scheffer, Stephen M. Plaza

bioRxiv (Cold Spring Harbor Laboratory) 2020 preprint cited by 66

importance 4/10 ai assisted Cell Image Analysis Techniques neuroscience stage: research

New large-scale connectome reconstructions (tens of thousands of neurons, tens of millions of connections) need easy, efficient analysis tools usable by non-specialists.

Large connectomes interest a broad research community but prior tools could not handle the scale.

Deep learning made connectome reconstruction practical (stated as enabling context); neuPrint itself is a database and analysis ecosystem organizing connectome data for discovery.

not stated in source

Abstract claims neuPrint addresses large-data analysis challenges; no measured results stated.

Venue bioRxiv (Cold Spring Harbor Laboratory)
Published 2020
Work type preprint
Authors Jody Clements, Tom Dolafi, Lowell A. Umayam, Nicole L. Neubarth, Stuart Berg, Louis K. Scheffer, Stephen M. Plaza
Citations 66 (OpenAlex, at import time)
References 15
Model or method not stated in source
Organization not stated in source
Primary source https://doi.org/10.1101/2020.01.16.909465
Open access green
Keywords connectomics, electron microscopy, Drosophila, database, deep learning
4 / 10

real but narrower advance

Abstract states new connectomes contain tens of thousands of neurons and tens of millions of connections, of interest to a large community of non-specialists; a useful research tooling advance.

Basis: stated. The source itself states the scale. Stated scale: tens of thousands of neurons, tens of millions of connections. Method and limits.

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