TY - JOUR
T1 - A Survey of Visualization and Analysis in High-Resolution Connectomics
AU - Beyer, Johanna
AU - Troidl, Jakob
AU - Boorboor, Saeed
AU - Hadwiger, Markus
AU - Kaufman, Arie
AU - Pfister, Hanspeter
N1 - 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).
PY - 2022/8/12
Y1 - 2022/8/12
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/680846
UR - https://onlinelibrary.wiley.com/doi/10.1111/cgf.14574
UR - http://www.scopus.com/inward/record.url?scp=85136292231&partnerID=8YFLogxK
U2 - 10.1111/cgf.14574
DO - 10.1111/cgf.14574
M3 - Article
SN - 1467-8659
VL - 41
SP - 573
EP - 607
JO - Computer Graphics Forum
JF - Computer Graphics Forum
IS - 3
ER -