A Survey of Visualization and Analysis in High-Resolution Connectomics

Johanna Beyer, Jakob Troidl, Saeed Boorboor, Markus Hadwiger, Arie Kaufman, Hanspeter Pfister

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


The field of connectomics aims to reconstruct the wiring diagram of Neurons and synapses to enable new insights into the workings of the brain. Reconstructing and analyzing the Neuronal connectivity, however, relies on many individual steps, starting from high-resolution data acquisition to automated segmentation, proofreading, interactive data exploration, and circuit analysis. All of these steps have to handle large and complex datasets and rely on or benefit from integrated visualization methods. In this state-of-the-art report, we describe visualization methods that can be applied throughout the connectomics pipeline, from data acquisition to circuit analysis. We first define the different steps of the pipeline and focus on how visualization is currently integrated into these steps. We also survey open science initiatives in connectomics, including usable open-source tools and publicly available datasets. Finally, we discuss open challenges and possible future directions of this exciting research field.
Original languageEnglish (US)
Pages (from-to)573-607
Number of pages35
JournalComputer Graphics Forum
Issue number3
StatePublished - Aug 12 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: We thank Z. Lin for his feedback. This research was supported by the National Science Foundation (NSF) Award Number IIS-1901030, NCS-FO-2124179, CNS1650499, OAC1919752, ICER1940302, IIS2107224, an IBM-SUNY-IBM grant 2106 and the King Abdullah University of Science & Technology (KAUST).

ASJC Scopus subject areas

  • Computer Networks and Communications


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