arXiv Computer Vision By Jiateng Shou, Zhiwei Xiong, Ruikang Xu, Zhicheng Wang, Peiyao Shi, Te Shi, Haiqun Jin, Chunying Yin, Jun Guo, Manfred Auer, Hanchuan Peng, Ruobing Zhang, Feng Wu

ZoomSEM: accelerating large-scale brain connectomics with intelligent SEM super-resolution

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arXiv Computer Vision
Sep 21

Catena: A Comprehensive Software Suite for Large-Scale Connectomics

Catena is an open‑source, developer‑centric software suite designed to streamline large‑scale connectomics from electron microscopy data. It integrates modules for 3D neuron and organelle segmentation, synapse detection, microtubule tracking, and neurotransmitter inference into composable, chunk‑wise pipelines that are fully documented and extensible. The suite includes pretrained machine learning models, containerized runtimes, and shareable components to reduce compute and ground‑truth data needs while ensuring reproducible, scalable processing across workstations and clusters.

By Samia Mohinta, Pedro G\'omez-G\'alvez, Shi Yan Lee, Daniel Franco-Barranco, Michael Clayton, Stephan Preibisch, Jan Funke, Albert Cardona