Evidence map›Paper›PMID 40388494›Full record

ArticlePLoS computational biology2025

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

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

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yukako YamaneNeural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.ORCID 0000-0002-3348-1942
Yuzhe LiNeural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.
Keita MatsumotoAraya Inc., Tokyo, Japan.
Ryota KanaiAraya Inc., Tokyo, Japan.
Miles DesforgesNeural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.ORCID 0000-0003-3631-0580
Carlos Enrique GutierrezNeural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.ORCID 0000-0001-5202-4969
Kenji DoyaNeural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.ORCID 0000-0002-2446-6820

Funding

Japan Agency for Medical Research and Development (AMED)
6 · The paper itself

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.

Indexed as

Image Processing, Computer-AssistedNeuroimagingSoftwareAlgorithmsAnimalsBrainCalciumComputational BiologyHumansReproducibility of ResultsCalcium

Identifiers

PMID40388494
PMCPMC12124740

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.