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SIGAA: signaling automated analysis: a new tool for Ca2+ signaling quantification using ratiometric Ca2+ dyes.
- Source :
- Signal, Image & Video Processing; Mar2024, Vol. 18 Issue 2, p1273-1284, 12p
- Publication Year :
- 2024
-
Abstract
- Astrocytes are non-neural cells, restricted to the brain and spinal cord, whose functions and morphology depend on their location. Astrocyte–astrocyte and astrocyte–neuron interactions occur through cytoplasmic Ca<superscript>2+</superscript> level changes that are assessed to determine cell function and response (i.e., drug testing). The evaluation of alterations in intracellular Ca<superscript>2+</superscript> levels primarily relies on fluorescence imaging techniques, performed through video recording of cells incubated with Ca<superscript>2+</superscript>-sensitive dyes. By observing ion concentration shifts over time in a delimited region of interest (ROI) encompassing a single cell, it is possible to draw conclusions on cell responses to specific stimuli. Our work describes a tool named SIGAA—signaling automated analysis, for astrocyte ROI-based fluorescent imaging. This tool is specifically tailored for two wavelengths excited dyes by using two inputs of Ca<superscript>2+</superscript> signaling recorded frames/videos and outputting a set of features relevant to the experiment's conclusions and cell characterization. SIGAA performs automatic drift correction for the two recorded videos with a template matching algorithm, followed by astrocyte identification (ROI) using morphological reconstruction techniques. Subsequently, SIGAA extracts intracellular Ca<superscript>2+</superscript> evolution functions for all identified ROIs detects function transients, and estimates a set of features for each signal. These features closely resemble those obtained through traditional methods and software used thus far. SIGAA is a new fully automated tool, which can speed up hour-long studies and analysis to a few minutes, showing reliable results as the validity tests indicate. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18631703
- Volume :
- 18
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Signal, Image & Video Processing
- Publication Type :
- Academic Journal
- Accession number :
- 175542513
- Full Text :
- https://doi.org/10.1007/s11760-023-02821-7