ArticlePLoS computational biology2017
Multi-scale approaches for high-speed imaging and analysis of large neural populations.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed.
- Adaptation of hippocampal spatial and contextual representations to task structure.Science advances · 2025Article
- Imaging neuronal voltage beyond the scattering limit.Nature methods · 2025Article
- Higher-order thalamic input to cortex selectively conveys state information.Cell reports · 2025Article
- Recurrent activity propagates through labile ensembles in macaque dorsolateral prefrontal microcircuits.Current biology : CB · 2025Article
- Optical constraints on two-photon voltage imaging.Neurophotonics · 2024Article
- Optical constraints on two-photon voltage imaging.bioRxiv : the preprint server for biology · 2024Article
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- An entorhinal-like region in food-caching birds.Current biology : CB · 2023Article
- Glioma epileptiform activity and progression are driven by IGSF3-mediated potassium dysregulation.Neuron · 2023Article
- An entorhinal-like region in food-caching birds.bioRxiv : the preprint server for biology · 2023Article
- Review of data processing of functional optical microscopy for neuroscience.Neurophotonics · 2022Review
- An improved platform for cultured neuronal network electrophysiology: multichannel optogenetics integrated with MEAs.European biophysics journal : EBJ · 2022Article
- Assessing Local and Branch-specific Activity in Dendrites.Neuroscience · 2022Article
- High-fidelity estimates of spikes and subthreshold waveforms from 1-photon voltage imaging in vivo.Cell reports · 2021Article
- Place Cells in Head-Fixed Mice Navigating a Floating Real-World Environment.Frontiers in cellular neuroscience · 2021Article
- Online analysis of microendoscopic 1-photon calcium imaging data streams.PLoS computational biology · 2021Article
- Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data.PLoS computational biology · 2020Article
- Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
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8 authors.
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Abstract
Progress in modern neuroscience critically depends on our ability to observe the activity of large neuronal populations with cellular spatial and high temporal resolution. However, two bottlenecks constrain efforts towards fast imaging of large populations. First, the resulting large video data is challenging to analyze. Second, there is an explicit tradeoff between imaging speed, signal-to-noise, and field of view: with current recording technology we cannot image very large neuronal populations with simultaneously high spatial and temporal resolution. Here we describe multi-scale approaches for alleviating both of these bottlenecks. First, we show that spatial and temporal decimation techniques based on simple local averaging provide order-of-magnitude speedups in spatiotemporally demixing calcium video data into estimates of single-cell neural activity. Second, once the shapes of individual neurons have been identified at fine scale (e.g., after an initial phase of conventional imaging with standard temporal and spatial resolution), we find that the spatial/temporal resolution tradeoff shifts dramatically: after demixing we can accurately recover denoised fluorescence traces and deconvolved neural activity of each individual neuron from coarse scale data that has been spatially decimated by an order of magnitude. This offers a cheap method for compressing this large video data, and also implies that it is possible to either speed up imaging significantly, or to "zoom out" by a corresponding factor to image order-of-magnitude larger neuronal populations with minimal loss in accuracy or temporal resolution.
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