东南大学彭汉川等研究人员合作完成小鼠和人脑中3D神经元形态的协同增强重建。相关论文于2024年9月4日在线发表在《自然—方法学》杂志上。

基于人工智能（AI）增强的协同群体智慧，研究人员开发了一个用于大规模神经元重建的协同增强重建（CAR）平台。该平台支持通过各种设备（如桌面工作站、虚拟现实头盔和手机）进行沉浸式交互和高效协作编辑神经元解剖学，使用户能够随时随地参与，并利用多个基于AI的自动化工具。研究人员测试了CAR在挑战性的小鼠和人类神经元中的适用性，以实现大规模和真实的数据生产。

据了解，从显微图像中数字化重建单个神经元复杂的三维形态是个关键挑战，涉及到个体实验室和大型项目，关注细胞类型和脑解剖学。这项任务在传统的手动重建和最先进的AI自动重建算法中常常失败。组织多名神经解剖学家生成并交叉验证生物学相关且达成共识的重建在大规模数据生产中也是一个挑战。

附：英文原文

Title: Collaborative augmented reconstruction of 3D neuron morphology in mouse and human brains

Author: Zhang, Lingli, Huang, Lei, Yuan, Zexin, Hang, Yuning, Zeng, Ying, Li, Kaixiang, Wang, Lijun, Zeng, Haoyu, Chen, Xin, Zhang, Hairuo, Xi, Jiaqi, Chen, Danni, Gao, Ziqin, Le, Longxin, Chen, Jie, Ye, Wen, Liu, Lijuan, Wang, Yimin, Peng, Hanchuan

Issue&Volume: 2024-09-04

Abstract: Digital reconstruction of the intricate 3D morphology of individual neurons from microscopic images is a crucial challenge in both individual laboratories and large-scale projects focusing on cell types and brain anatomy. This task often fails in both conventional manual reconstruction and state-of-the-art artificial intelligence (AI)-based automatic reconstruction algorithms. It is also challenging to organize multiple neuroanatomists to generate and cross-validate biologically relevant and mutually agreed upon reconstructions in large-scale data production. Based on collaborative group intelligence augmented by AI, we developed a collaborative augmented reconstruction (CAR) platform for neuron reconstruction at scale. This platform allows for immersive interaction and efficient collaborative editing of neuron anatomy using a variety of devices, such as desktop workstations, virtual reality headsets and mobile phones, enabling users to contribute anytime and anywhere and to take advantage of several AI-based automation tools. We tested CAR’s applicability for challenging mouse and human neurons toward scaled and faithful data production.

DOI: 10.1038/s41592-024-02401-8

Source: https://www.nature.com/articles/s41592-024-02401-8