用于树突棘分析的 FAIR 开源虚拟现实平台

IF 6.7 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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引用次数: 0

摘要

神经解剖学是了解神经系统,特别是树突棘的基础,树突棘对突触传递和对损伤或疾病的反应变化至关重要。成像技术的进步使这些结构的详细三维(3D)可视化成为可能。然而,现有的树突棘形态分析工具非常有限。为了解决这个问题,我们开发了一个开源虚拟现实(VR)结构分析软件生态系统(被称为 "VR-SASE"),它为树突棘的分析提供了一种强大、直观的方法。我们的验证过程证实了该方法的卓越准确性,超过了公认的黄金标准神经重建技术。重要的是,VR-SASE 工作流程能自动计算树突棘长度、体积和表面积等关键形态指标,并可靠地复制已发表的树突棘研究数据集。通过整合神经数据无国界(NWB)数据标准,VR-SASE 数据集可以通过 DANDI 档案馆保存/分发,从而满足美国国立卫生研究院的数据共享要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A FAIR, open-source virtual reality platform for dendritic spine analysis

Neuroanatomy is fundamental to understanding the nervous system, particularly dendritic spines, which are vital for synaptic transmission and change in response to injury or disease. Advancements in imaging have allowed for detailed three-dimensional (3D) visualization of these structures. However, existing tools for analyzing dendritic spine morphology are limited. To address this, we developed an open-source virtual reality (VR) structural analysis software ecosystem (coined “VR-SASE”) that offers a powerful, intuitive approach for analyzing dendritic spines. Our validation process confirmed the method’s superior accuracy, outperforming recognized gold-standard neural reconstruction techniques. Importantly, the VR-SASE workflow automatically calculates key morphological metrics, such as dendritic spine length, volume, and surface area, and reliably replicates established datasets from published dendritic spine studies. By integrating the Neurodata Without Borders (NWB) data standard, VR-SASE datasets can be preserved/distributed through DANDI Archives, satisfying the NIH data sharing mandate.

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来源期刊
Patterns
Patterns Decision Sciences-Decision Sciences (all)
CiteScore
10.60
自引率
4.60%
发文量
153
审稿时长
19 weeks
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