Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...

You might also read

Related Articles

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

Sort by

Same author

[Predictors of short-term antimicrobial treatment outcomes in patients with liver failure complicated by spontaneous bacterial peritonitis: A retrospective study].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences·2026

Same author

Sparse component analysis: A method that uncovers separable computations within neural population activity.

Neuron·2026

Same author

Evaluation of Gd-EOB-DTPA MRI With Diffusion and Clinicopathologic Features for Predicting Microvascular Invasion in Hepatocellular Carcinoma.

Journal of computer assisted tomography·2026

Same author

Diagnosis and treatment strategies for airway involvement in relapsing polychondritis: a comprehensive review.

Frontiers in immunology·2026

Same author

Vesicle3D: An Integrative Platform for 3D Segmentation and Analysis of Vesicles in Cryo-electron Tomograms.

Neuroscience bulletin·2026

Same author

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

ArXiv·2026

Same journal

Combinatorial multiomic analysis from a pedigree of Sox10Dom Hirschsprung mice identifies multiple high confidence candidate modifiers of Enteric Nervous System development.

PLoS computational biology·2026

Same journal

Extracting host-specific developmental signatures from longitudinal microbiome data.

PLoS computational biology·2026

Same journal

Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks.

PLoS computational biology·2026

Same journal

Predictive coding explains asymmetric connectivity in the brain: A neural network study.

PLoS computational biology·2026

Same journal

Zooplankton feeding behavioral signatures in the morphology of macroscale prey spatial distribution.

PLoS computational biology·2026

Same journal

A brief overview of 20 years of neuroscience in PLoS Computational Biology.

PLoS computational biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 6, 2026

Author Spotlight: An Innovative Approach to Neural Electrical Stimulation Using Calcium Imaging

Author Spotlight: An Innovative Approach to Neural Electrical Stimulation Using Calcium Imaging

Published on: August 18, 2023

Fast online deconvolution of calcium imaging data.

Johannes Friedrich^1,2, Pengcheng Zhou^1,3, Liam Paninski^1,4

¹Department of Statistics, Grossman Center for the Statistics of Mind, and Center for Theoretical Neuroscience, Columbia University, New York, New York, United States of America.

Plos Computational Biology

|March 15, 2017

Summary

This summary is machine-generated.

We developed a fast online algorithm for deconvoluting neural activity from calcium imaging data. This method enables real-time analysis of large neuronal populations, significantly improving processing speed for neuroscience research.

More Related Videos

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Published on: June 16, 2014

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis

Published on: December 16, 2022

Related Experiment Videos

Last Updated: Mar 6, 2026

Author Spotlight: An Innovative Approach to Neural Electrical Stimulation Using Calcium Imaging

Author Spotlight: An Innovative Approach to Neural Electrical Stimulation Using Calcium Imaging

Published on: August 18, 2023

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Published on: June 16, 2014

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis

Published on: December 16, 2022

Area of Science:

Neuroscience
Computational Biology
Signal Processing

Background:

Fluorescent calcium indicators are crucial for observing neuronal activity.
Extracting individual neuron activity from imaging data is challenging.
Current methods are computationally intensive, limiting real-time analysis.

Purpose of the Study:

To develop a fast, online algorithm for sparse non-negative deconvolution of neural activity.
To enable real-time estimation of neural activity during imaging sessions.
To improve the efficiency and scalability of calcium imaging data analysis.

Main Methods:

An online active set method based on the pool adjacent violators algorithm (PAVA).
Generalization of PAVA for isotonic regression with linear-time complexity.
Incorporation of a minimum spike size constraint for enhanced accuracy.

Main Results:

Achieved over a tenfold increase in processing speed compared to existing convex solvers.
Enabled real-time deconvolution of over 100,000 neuronal traces on a laptop.
Demonstrated efficient hyperparameter optimization with minimal data passes.

Conclusions:

The developed algorithm provides a significant advancement in real-time neural activity analysis.
It offers a scalable and computationally efficient solution for large-scale calcium imaging.
Facilitates rapid insights into neuronal population dynamics during experiments.