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April 19, 2026Journal of Open Research Software1 citationsOpen Access

Pluvianus: Interactive GUI for Exploration and Quality Control of CaImAn Calcium Imaging Analysis Results

GKGergely KatonaInstitute of Cognitive Neuroscience and PsychologyADAndras DavidASAndrea SléziaHUN-REN Research Centre for Natural Sciences

Key Points

  • Pluvianus aims to enhance the visual exploration and quality control of calcium imaging analysis results.
  • Developed a stand-alone graphical user interface (GUI) for CaImAn algorithms.
  • Integrated synchronized spatial and temporal views for data visualization.
  • Provided intuitive comparison tools for the manual curation of cell detection.
  • Tested on both CaImAn demo datasets and in-house cortical calcium activity data.
  • Enabled effective verification of CaImAn outputs.
  • Facilitated manual curation of detected cells in calcium imaging data.
  • Promoted broad usability for diverse experimental paradigms among neuroscientists.

Abstract

Pluvianus is a stand-alone graphical user interface designed for the visual exploration and quality control of calcium imaging results produced by CaImAn’s CNMF and OnACID algorithms. It provides synchronized spatial and temporal views, intuitive visual comparison tools, and interactive component acceptance, while imposing no constraints on the underlying computational workflow or data organization, enhancing integration flexibility. The software was tested on CaImAn demo datasets as well as on in-house measured cortical calcium activity data, demonstrating that the GUI enables verification of CaImAn outputs and manual curation of cell detection. Publicly distributed on GitHub under the MIT license, Pluvianus supports seamless adoption and community-driven development, making it broadly usable for neuroscientists working with calcium imaging data across diverse experimental paradigms.

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Cite This Study

Katona et al. (2026) studied this question.

synapsesocial.com/papers/69e47376010ef96374d8f398https://doi.org/10.5334/jors.623
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