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

Brefeldin A induces apoptosis in cisplatin-resistant ovarian cancer cells independent of ABCC2-mediated drug efflux.

Toxicology and applied pharmacology·2026
Same author

Response to: comment on 'digital twins and multimodal artificial intelligence in spine care: a scoping review of concepts, evidence, and translational barriers'.

Spine deformity·2026
Same author

Response to: Comment on 'Risk prediction in spine surgery: a scoping review of traditional models, artificial intelligence, and the challenge of clinical translation'.

Spine deformity·2026
Same author

Digital twins and multimodal artificial intelligence in spine care: a scoping review of concepts, evidence, and translational barriers.

Spine deformity·2026
Same author

Graph Neural Networks in Neuroimaging: Current Status and Biostatistical Considerations for Clinical Deployment.

Annals of biomedical engineering·2026
Same author

Risk prediction in spine surgery: a scoping review of traditional models, artificial intelligence, and the challenge of clinical translation.

Spine deformity·2026

Related Experiment Video

Updated: Aug 15, 2025

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences
06:49

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Published on: June 16, 2014

17.2K

Software for segmenting and quantifying calcium signals using multi-scale generative adversarial networks.

Hussein Moghnieh1, Sharif Amit Kamran2, Khondker Fariha Hossain3

  • 1Department of Electrical and Computer Engineering, McGill University, Montréal, QC H3A 0E9, Canada.

STAR Protocols
|January 3, 2023
PubMed
Summary

This study introduces 4SM, open-source software that uses machine learning to automate the analysis of cellular calcium imaging data. This tool standardizes the segmentation of spatiotemporal maps, improving the study of cellular behaviors.

Keywords:
Cell BiologyComputer sciencesMicroscopy

More Related Videos

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
06:57

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

1.1K
Successful In vivo Calcium Imaging with a Head-Mount Miniaturized Microscope in the Amygdala of Freely Behaving Mouse
09:39

Successful In vivo Calcium Imaging with a Head-Mount Miniaturized Microscope in the Amygdala of Freely Behaving Mouse

Published on: August 26, 2020

12.4K

Related Experiment Videos

Last Updated: Aug 15, 2025

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences
06:49

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

Published on: June 16, 2014

17.2K
Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection
06:57

Author Spotlight: Advancing Cardiovascular Imaging - Introducing the Spatially Weighted Calcium Score for Early Disease Detection

Published on: September 22, 2023

1.1K
Successful In vivo Calcium Imaging with a Head-Mount Miniaturized Microscope in the Amygdala of Freely Behaving Mouse
09:39

Successful In vivo Calcium Imaging with a Head-Mount Miniaturized Microscope in the Amygdala of Freely Behaving Mouse

Published on: August 26, 2020

12.4K

Area of Science:

  • Cellular biology
  • Biophysics
  • Computational biology

Background:

  • Cellular calcium fluorescence imaging generates large datasets.
  • Accurate and standardized analysis methods are crucial for studying cellular behaviors.
  • Existing methods for analyzing spatiotemporal calcium maps can be complex and time-consuming.

Purpose of the Study:

  • To introduce open-source software (4SM) for automated analysis of cellular calcium imaging data.
  • To provide a standardized and accurate method for segmenting subcellular calcium signals.
  • To facilitate the analysis of spatiotemporal calcium activity maps within and across cells.

Main Methods:

  • Development of an automated machine learning pipeline.
  • Implementation of subcellular calcium signal segmentation algorithms.
  • Application to analyze spatiotemporal maps of calcium activities.

Main Results:

  • 4SM software effectively automates the segmentation of calcium signals in spatiotemporal maps.
  • The software provides standardized and accurate analysis of large cellular imaging datasets.
  • Enables efficient analysis of calcium dynamics within single cells and across cell populations.

Conclusions:

  • 4SM offers a robust solution for the analysis of cellular calcium imaging data.
  • The open-source software addresses the need for standardized and accurate computational tools in cell biology research.
  • Facilitates deeper understanding of cellular behaviors through improved calcium signal analysis.