ArticleeNeuro2025
A Preprocessing Toolbox for 2-Photon Subcellular Calcium Imaging.
Article in eNeuro, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 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
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.
Who cites it
4 citing papers in PubMed.
- Optimization of spatial and temporal sampling resolution for optophysiology in large-scale two-photon calcium imaging.Biomedical optics express · 2026Article
- Distinct CA3 inputs differentially shape the learning-dependent evolution of right CA1 spatial maps.Nature communications · 2026Article
- Learning-Dependent Shift from Right to Left CA3 Input Dominance Shapes the Evolution of Right CA1 Spatial Maps.bioRxiv : the preprint server for biology · 2025Article
- Protocol for live-cell calcium imaging of human lung microvascular endothelial vessel-on-a-chip model.STAR protocols · 2025Article
Corrections and comments
- Erratum issued
- Update of
Authors and funding
3 authors.
Funding
Abstract
Recording the spiking activity from subcellular compartments of neurons such as axons and dendrites during mouse behavior with 2-photon calcium imaging is increasingly common yet remains challenging due to low signal-to-noise, inaccurate region-of-interest (ROI) identification, movement artifacts, and difficulty in grouping ROIs from the same neuron. To address these issues, we present a computationally efficient preprocessing pipeline for subcellular signal detection, movement artifact identification, and ROI grouping. For subcellular signal detection, we capture the frequency profile of calcium transient dynamics by applying fast Fourier transform (FFT) on smoothed time-series calcium traces collected from axon ROIs. We then apply bandpass filtering methods (e.g., 0.05-0.12 Hz) to select ROIs that contain frequencies that match the power band of transients. To remove motion artifacts from
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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 Socratic graph.