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光学神经影像工作室(OptiNiSt):用于光学神经影像数据分析的直观、可扩展框架。

Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis.

作者信息

Yamane Yukako, Li Yuzhe, Matsumoto Keita, Kanai Ryota, Desforges Miles, Gutierrez Carlos Enrique, Doya Kenji

机构信息

Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.

Mathmatical Informatics Lab, Nara Institute of Science and Technology, Nara, Japan.

出版信息

PLoS Comput Biol. 2025 May 19;21(5):e1013087. doi: 10.1371/journal.pcbi.1013087. eCollection 2025 May.

Abstract

Advancements in calcium indicators and optical techniques have made optical neural recording common in neuroscience. As data volumes grow, streamlining the analysis pipelines for image preprocessing, signal extraction, and subsequent neural activity analyses becomes essential. Challenges in analysis includes 1) ensuring data quality of original and processed data at each step, 2) selecting optimal algorithms and their parameters from numerous options, each with its own pros and cons, by implementing or installing them manually, 3) systematically recording each analysis step for reproducibility, and 4) adopting standard data formats for data sharing and meta-analyses. To address these challenges, we developed Optical Neuroimage Studio (OptiNiSt), a scalable, extendable, and reproducible framework for creating calcium data analysis pipelines. OptiNiSt includes the following features. 1) Researchers can easily create analysis pipelines by selecting multiple processing modules, tuning their parameters, and visualizing the results at each step through a graphic user interface in a web browser. 2) In addition to pre-installed tools, new analysis algorithms can be easily added. 3) Once a processing pipeline is designed, the entire workflow with its modules and parameters are stored in a YAML file, which makes the pipeline reproducible and deployable on high-performance computing clusters. 4) OptiNiSt can read image data in a variety of file formats and store the analysis results in NWB (Neurodata Without Borders), a standard data format for data sharing. We expect that this framework will be helpful in standardizing optical neural data analysis protocols.

摘要

钙指示剂和光学技术的进步使光学神经记录在神经科学中变得普遍。随着数据量的增长,简化图像预处理、信号提取及后续神经活动分析的分析流程变得至关重要。分析中的挑战包括:1)在每个步骤确保原始数据和处理后数据的数据质量;2)通过手动实现或安装从众多各有优缺点的选项中选择最优算法及其参数;3)系统记录每个分析步骤以实现可重复性;4)采用标准数据格式进行数据共享和元分析。为应对这些挑战,我们开发了光学神经影像工作室(OptiNiSt),这是一个用于创建钙数据分析流程的可扩展、可延伸且可重复的框架。OptiNiSt具备以下特点。1)研究人员可以通过选择多个处理模块、调整其参数并通过网页浏览器中的图形用户界面在每个步骤可视化结果,轻松创建分析流程。2)除了预安装的工具,新的分析算法可以轻松添加。3)一旦设计好处理流程,带有其模块和参数的整个工作流程会存储在一个YAML文件中,这使得该流程可重复且可在高性能计算集群上部署。4)OptiNiSt可以读取多种文件格式的图像数据,并将分析结果存储在NWB(无国界神经数据)中,这是一种用于数据共享的标准数据格式。我们期望这个框架将有助于规范光学神经数据分析协议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2924/12124740/a9d0ea0f15e7/pcbi.1013087.g001.jpg

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