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

Yukako Yamane1, Yuzhe Li1, Keita Matsumoto2

  • 1Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.

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|May 19, 2025
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Summary
This summary is machine-generated.

Optical Neuroimage Studio (OptiNiSt) streamlines calcium data analysis for neuroscience. This framework simplifies pipeline creation, ensures reproducibility, and supports standard data formats for sharing optical neural recordings.

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Area of Science:

  • Neuroscience
  • Optical Imaging
  • Data Analysis

Background:

  • Optical neural recording is increasingly common in neuroscience due to advancements in calcium indicators and imaging techniques.
  • Growing data volumes necessitate streamlined analysis pipelines for image preprocessing, signal extraction, and neural activity analysis.
  • Current challenges include ensuring data quality, selecting optimal algorithms, maintaining reproducibility, and adopting standard data formats.

Purpose of the Study:

  • To develop a scalable, extendable, and reproducible framework for creating calcium data analysis pipelines.
  • To address the challenges in optical neural data analysis, including data quality, algorithm selection, reproducibility, and data sharing.
  • To facilitate the standardization of optical neural data analysis protocols.

Main Methods:

  • Developed Optical Neuroimage Studio (OptiNiSt), a framework with a graphical user interface for creating analysis pipelines.
  • OptiNiSt allows users to select processing modules, tune parameters, and visualize results.
  • The framework supports adding new analysis algorithms, stores pipelines in YAML files for reproducibility, and integrates with high-performance computing clusters.
  • OptiNiSt reads various image formats and saves results in the Neurodata Without Borders (NWB) standard format.

Main Results:

  • OptiNiSt provides a user-friendly interface for building complex calcium data analysis workflows.
  • Pipelines created with OptiNiSt are reproducible and can be deployed on high-performance computing clusters.
  • The framework ensures compatibility with multiple data formats and promotes the use of the NWB standard for data sharing.

Conclusions:

  • Optical Neuroimage Studio (OptiNiSt) offers a robust solution for standardizing and simplifying optical neural data analysis.
  • The framework enhances reproducibility and data sharing in neuroscience research.
  • OptiNiSt is expected to significantly aid researchers in managing and analyzing large-scale optical neural recording datasets.