Evidence map›Paper›PMID 35642786›Full record

ArticleeLife2022

Minian, an open-source miniscope analysis pipeline.

Zhe Dong, William Mau, Yu Feng, Zachary T Pennington, Lingxuan Chen, Yosif Zaki, Kanaka Rajan, Tristan Shuman, Daniel Aharoni, Denise J Cai

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
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  5. Stars2Cells: Astrometric Tracking of Neurons Across Imaging Sessions.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
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  11. Review
  12. Article
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  15. Striatal Pathways for Action Counting and Steering.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. Layer 1 NDNF interneurons form distinct subpopulations with opposite activation patterns during sleep in freely behaving mice.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article
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

10 authors.

Zhe DongNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0002-7366-8939
William MauNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0002-3233-3243
Yu FengNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.
Zachary T PenningtonNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.
Lingxuan ChenNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.
Yosif ZakiNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.
Kanaka RajanNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.
Tristan ShumanNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0003-2310-6142
Daniel AharoniDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, United States.ORCID 0000-0003-4931-8514
Denise J CaiNash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0002-7729-0523

Funding

Circuit Mechanisms of Retrospective Memory-LinkingR01MH120162 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Denise Jade Cai · 2020 to 2026
$3.9M
Circuits Driving Spatial Coding Deficits in EpilepsyR01NS116357 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SHUMAN, TRISTAN · 2021 to 2025
$2.8M
Building and sharing next generation open-source, wireless, multichannel miniaturized microsopes for imaging activity in freely behaving miceU01NS094286 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GOLSHANI, PEYMAN, KHAKH, BALJIT · 2015 to 2017
$2.7M
How does the brain maximize storage capacity?DP2MH122399 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DENISE JADE · 2019 to 2020
$2.6M
Multi-region 'Network of Networks' Recurrent Neural Network Models of Adaptive and Maladaptive LearningR01EB028166 · NIBIB · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI RAJAN, KANAKA · 2019 to 2019
$1.2M
Interneuron and Network Synchrony in Alzheimer's DiseaseR03NS111493 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SHUMAN, TRISTAN · 2019 to 2020
$506k
Neuroimmune modulation of neuronal function during cocaine conditioningR21DA049568 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KIRALY, DREW, SHUMAN, TRISTAN · 2019 to 2020
$466k
Manipulating cellular excitability and CREB expression in CA1 to restore spatial processing in aged mice to young-like levelsF32AG067640 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MAU, WILLIAM · 2020 to 2022
$138k
NIA NIH HHS F32 AG067640NIBIB NIH HHS R01 EB028166NIDA NIH HHS R21 DA049568NIMH NIH HHS DP2 MH122399NIMH NIH HHS R01 MH120162NINDS NIH HHS R01 NS116357NINDS NIH HHS R03 NS111493NINDS NIH HHS U01 NS094286
6 · The paper itself

Abstract

Miniature microscopes have gained considerable traction for in vivo calcium imaging in freely behaving animals. However, extracting calcium signals from raw videos is a computationally complex problem and remains a bottleneck for many researchers utilizing single-photon in vivo calcium imaging. Despite the existence of many powerful analysis packages designed to detect and extract calcium dynamics, most have either key parameters that are hard-coded or insufficient step-by-step guidance and validations to help the users choose the best parameters. This makes it difficult to know whether the output is reliable and meets the assumptions necessary for proper analysis. Moreover, large memory demand is often a constraint for setting up these pipelines since it limits the choice of hardware to specialized computers. Given these difficulties, there is a need for a low memory demand, user-friendly tool offering interactive visualizations of how altering parameters at each step of the analysis affects data output. Our open-source analysis pipeline, Minian (miniscope analysis), facilitates the transparency and accessibility of single-photon calcium imaging analysis, permitting users with little computational experience to extract the location of cells and their corresponding calcium traces and deconvolved neural activities. Minian contains interactive visualization tools for every step of the analysis, as well as detailed documentation and tips on parameter exploration. Furthermore, Minian has relatively small memory demands and can be run on a laptop, making it available to labs that do not have access to specialized computational hardware. Minian has been validated to reliably and robustly extract calcium events across different brain regions and from different cell types. In practice, Minian provides an open-source calcium imaging analysis pipeline with user-friendly interactive visualizations to explore parameters and validate results.

Indexed as

BrainCalciumAnimalsImage Processing, Computer-AssistedMicroscopyPhotonsSoftwareCalciumanalysis pipelinecalcium imagingMiniscopemouseneuroscience

Identifiers

PMID35642786
PMCPMC9205633

What OpenQuestion holds

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Registered trials

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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.