ReviewNeurophotonics2022
Review of data processing of functional optical microscopy for neuroscience.
Review in Neurophotonics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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
9 citing papers in PubMed.
- Deriving functional network topology frombioRxiv : the preprint server for biology · 2026Article
- Fast and accessible morphology-free functional fluorescence imaging analysis.PLoS computational biology · 2026Article
- Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data.ArXiv · 2025Article
- Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data.Proceedings of machine learning research · 2025Article
- NeuroConv: Streamlining Neurophysiology Data Conversion to the NWB Standard.Proceedings of the Python in Science Conferences. Python in Science Conference · 2025Article
- Modeling the diverse effects of divisive normalization on noise correlations.PLoS computational biology · 2023Article
- Special Section Guest Editorial: Computational Approaches for Neuroimaging.Neurophotonics · 2022Article
- Two-photon calcium imaging of neuronal activity.Nature reviews. Methods primers · 2022Article
- GraFT: Graph Filtered Temporal Dictionary Learning for Functional Neural Imaging.IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Functional optical imaging in neuroscience is rapidly growing with the development of optical systems and fluorescence indicators. To realize the potential of these massive spatiotemporal datasets for relating neuronal activity to behavior and stimuli and uncovering local circuits in the brain, accurate automated processing is increasingly essential. We cover recent computational developments in the full data processing pipeline of functional optical microscopy for neuroscience data and discuss ongoing and emerging challenges.
Indexed as
Identifiers
What OpenQuestion holds
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.