A Survey of Visualization and Analysis in High‐Resolution Connectomics. (June 2022)

• Record Type: Journal Article
• Authors: Beyer, Johanna; Troidl, Jakob; Boorboor, Saeed; Hadwiger, Markus; Kaufman, Arie; Pfister, Hanspeter
• Is Part Of: Computer graphics forum. Volume 41:Number 3(2022)
• Page Start: 573
• Page End: 607
• Publication Date: 2022-06
• Subjects: CCS Concepts -- Human‐centered computing → Visualization systems and tools -- Scientific visualization -- Applied computing → Life and medical sciences; Systems biology; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14574
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: 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.