ArticleCell reports methods2026
A multicellular analysis calcium imaging toolbox for ImageJ.
Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Protocol for using the multi-cellular analysis toolbox in ImageJ for single-cell calcium imaging analysis.STAR protocols · 2026Article
- Cyfip2 mediates sensorimotor integration of visual input through Rac1-dependent actin remodeling.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Functional imaging using genetically encoded indicators has become a foundational tool for cellular dynamics and communication analysis. However, large or complex experiments pose analytical challenges. Many programs address these challenges; however, most require proprietary software, impose restrictions, or require programming knowledge, which limits their utility. To address this, we designed MCA (Multicellular Analysis toolkit) to work with ImageJ, a widely used open-source software. MCA utilizes ImageJ to generate new images based on completed tasks, allowing visualization of the analysis pipeline. MCA also implements a user-friendly graphical user interface (GUI) resembling native ImageJ plugins. We incorporated rigid registration for motion correction, cell prediction algorithms, and data annotation and exporting features. We validated MCA using previously published zebrafish visual response calcium imaging data. To further show MCA's versatility, we also tested multiple sensory responses, brain regions, and model organisms, including Drosophila and mouse. Altogether, MCA is a user-friendly environment viable for multiple forms of functional imaging analysis.
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Registered trials
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.