Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Beast3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting.

ArXiv·2026
Same author

Learning and Motivation State Fluctuations from Motoric and Neurophysiologic Metrics during a Somatosensory Task in Mice.

eNeuro·2026
Same author

Lightning Pose 3D: an uncertainty-aware framework for data-efficient multi-view animal pose estimation.

bioRxiv : the preprint server for biology·2026
Same author

Mouse Bio-behavioral Phenotyping Using a Digital Homecage Framework for Long-timescale, High-resolution, and Multi-factor Data Collection and Analytics.

Research square·2026
Same author

Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging.

PloS one·2026
Same author

Social compatibility in opposite-sex prairie vole pairs is modulated by early-life sleep experience.

PLoS biology·2026
Same journal

Quantifying the Peripheral Surface Information Entropy from Conformational Ensembles of Globular Protein-Peptide Complexes.

Biophysical journal·2026
Same journal

Anisotropic unbinding and location-dependent hovering of a kinesin motor head over microtubule.

Biophysical journal·2026
Same journal

Kinesin-5/Cut7 C-terminal tail phosphorylation influence on motor regulation through multi-scale molecular modeling.

Biophysical journal·2026
Same journal

Dynamic conformations of fluorophores on self-labeling protein tags.

Biophysical journal·2026
Same journal

Different actions of RyR2 open and closed channel block explained by a multiscale Ca<sup>2+</sup> release model.

Biophysical journal·2026
Same journal

Membrane Environment Sets the Functional pK<sub>a</sub> of Ionizable Lipids.

Biophysical journal·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

Imaging Calcium Dynamics in Subpopulations of Mouse Pancreatic Islet Cells
08:03

Imaging Calcium Dynamics in Subpopulations of Mouse Pancreatic Islet Cells

Published on: November 26, 2019

Spike inference from calcium imaging using sequential Monte Carlo methods.

Joshua T Vogelstein1, Brendon O Watson, Adam M Packer

  • 1Department of Neuroscience, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA. joshuav@jhu.edu

Biophysical Journal
|July 22, 2009
PubMed
Summary
This summary is machine-generated.

New particle filter methods accurately infer hidden neuronal activity from calcium imaging data. These advanced analytical tools improve signal estimation and temporal resolution, even with limited experimental data.

More Related Videos

Fluorescent Calcium Imaging and Subsequent In Situ Hybridization for Neuronal Precursor Characterization in Xenopus laevis
09:07

Fluorescent Calcium Imaging and Subsequent In Situ Hybridization for Neuronal Precursor Characterization in Xenopus laevis

Published on: February 18, 2020

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

Related Experiment Videos

Last Updated: Jun 21, 2026

Imaging Calcium Dynamics in Subpopulations of Mouse Pancreatic Islet Cells
08:03

Imaging Calcium Dynamics in Subpopulations of Mouse Pancreatic Islet Cells

Published on: November 26, 2019

Fluorescent Calcium Imaging and Subsequent In Situ Hybridization for Neuronal Precursor Characterization in Xenopus laevis
09:07

Fluorescent Calcium Imaging and Subsequent In Situ Hybridization for Neuronal Precursor Characterization in Xenopus laevis

Published on: February 18, 2020

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

Area of Science:

  • Neuroscience
  • Computational Biology
  • Biophysics

Background:

  • Advances in calcium sensing enable simultaneous imaging of neuronal populations.
  • Inferring underlying neural signals (spike trains, calcium dynamics) from fluorescence data is challenging due to noise, nonlinearities, and slow imaging rates.

Purpose of the Study:

  • To develop advanced analytical tools for inferring hidden neural signals from calcium imaging data.
  • To improve the accuracy and temporal resolution of neural activity estimation.

Main Methods:

  • Development of sequential Monte Carlo methods (particle filters) based on biophysical models of spiking, calcium dynamics, and fluorescence.
  • Incorporation of nonlinear fluorescence saturation, stimulus, and spike history dependence (refractoriness).
  • Parameter estimation using expectation maximization with limited data.

Main Results:

  • Particle filters outperform optimal linear filters (e.g., Wiener filter) in estimating neural signals and providing error bars.
  • Demonstrated temporal superresolution by inferring spike timing within imaging frames.
  • Successful parameter estimation using limited data (5-10s, 5-40 spikes) without simultaneous electrophysiology.

Conclusions:

  • Particle filters provide a robust framework for analyzing calcium imaging data.
  • The developed methods enhance the utility of calcium imaging for studying neuronal populations.
  • Accurate inference of neural activity is achievable with minimal experimental data and without invasive techniques.