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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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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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A multicellular analysis calcium imaging toolbox for ImageJ.

John Hageter1, Audrey DelGaudio1, Maegan Leathery1

  • 1West Virginia University Department of Biology, Morgantown, WV 26506, USA.

Cell Reports Methods
|January 30, 2026
PubMed
Summary
This summary is machine-generated.

A new toolkit, MCA (Multicellular Analysis toolkit), simplifies functional imaging analysis for cellular dynamics. This open-source software integrates with ImageJ, offering a user-friendly interface for complex experiments across various model organisms.

Keywords:
CP: computational biologyCP: imagingDrosophilacalcium imagingfunctional imagingimaging analysismodel systemsmouseneuroscienceopen sourcesoftwarezebrafish

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Area of Science:

  • Neuroscience
  • Cell Biology
  • Bioimaging

Background:

  • Genetically encoded indicators are crucial for analyzing cellular dynamics and communication.
  • Analyzing large or complex functional imaging experiments presents significant challenges.
  • Existing analytical tools often require proprietary software, have restrictions, or necessitate programming expertise, limiting accessibility.

Purpose of the Study:

  • To develop a user-friendly, open-source toolkit for analyzing functional imaging data.
  • To overcome the limitations of existing software for complex experimental analysis.
  • To provide a versatile platform compatible with widely used open-source software like ImageJ.

Main Methods:

  • Developed the Multicellular Analysis toolkit (MCA) integrated with ImageJ.
  • Implemented a graphical user interface (GUI) for intuitive operation.
  • Incorporated rigid registration for motion correction, cell prediction algorithms, and data annotation/exporting features.

Main Results:

  • MCA successfully visualizes the analysis pipeline within ImageJ.
  • Validated MCA using zebrafish visual response calcium imaging data.
  • Demonstrated versatility across multiple sensory responses, brain regions, and model organisms (Drosophila, mouse).

Conclusions:

  • MCA offers a user-friendly and accessible environment for functional imaging analysis.
  • The toolkit supports diverse imaging modalities and experimental designs.
  • MCA enhances the utility of genetically encoded indicators for cellular research.