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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...
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Related Experiment Video

Updated: Dec 19, 2025

TACI: An ImageJ Plugin for 3D Calcium Imaging Analysis
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EZcalcium: Open-Source Toolbox for Analysis of Calcium Imaging Data.

Daniel A Cantu1,2, Bo Wang1, Michael W Gongwer1,3

  • 1Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.

Frontiers in Neural Circuits
|June 6, 2020
PubMed
Summary

EZcalcium simplifies complex fluorescence calcium imaging analysis. This new software integrates advanced algorithms for motion correction and signal extraction, making neuronal activity recording accessible to more researchers.

Keywords:
2-photonCaImAndeconvolutionneocortexneural activitysoftwaretwo-photon

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Area of Science:

  • Neuroscience
  • Biophysics
  • Computational Biology

Background:

  • Fluorescence calcium imaging is crucial for monitoring neuronal and glial activity.
  • Analyzing calcium imaging data requires complex algorithms and programming expertise.
  • Existing analysis tools present barriers for researchers without advanced coding skills.

Purpose of the Study:

  • To address the need for accessible and automated calcium imaging data analysis.
  • To develop an intuitive, GUI-based software package for processing fluorescence calcium imaging data.
  • To lower the barrier to entry for analyzing neuronal activity using advanced computational methods.

Main Methods:

  • Incorporated NoRMCorre for motion correction and CaImAn for segmentation, signal extraction, and deconvolution.
  • Developed an open-source, graphical user interface (GUI)-based software named EZcalcium.
  • Integrated advanced algorithms into an automated data analysis pipeline.

Main Results:

  • EZcalcium provides an easy-to-use solution for analyzing complex calcium imaging data.
  • The software streamlines the process of inferring neuronal spiking from fluorescence intensity changes.
  • Facilitates consistent and optimal analysis across different research groups.

Conclusions:

  • EZcalcium democratizes advanced calcium imaging analysis.
  • The software empowers researchers lacking extensive programming skills to effectively analyze neuronal activity.
  • Addresses the growing need for user-friendly tools in systems neuroscience.