Publication
SIGAA: signaling automated analysis: a new tool for Ca2+ signaling quantification using ratiometric Ca2+ dyes
| authorProfile.email | biblioteca@isel.pt | |
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| dc.contributor.author | Lopes, Rafael Faria | |
| dc.contributor.author | Gonçalves-Ribeiro, Joana | |
| dc.contributor.author | Sebastião, Ana M. | |
| dc.contributor.author | Meneses, Carlos | |
| dc.contributor.author | Vaz, Sandra H. | |
| dc.date.accessioned | 2025-08-29T09:18:43Z | |
| dc.date.available | 2025-08-29T09:18:43Z | |
| dc.date.issued | 2023-11-04 | |
| dc.description.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 Ca2+ level changes that are assessed to determine cell function and response (i.e., drug testing). The evaluation of alterations in intracellular Ca2+ levels primarily relies on fluorescence imaging techniques, performed through video recording of cells incubated with Ca2+-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 Ca2+ 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 Ca2+ 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. | eng |
| dc.identifier.citation | Lopes, R. F., Gonçalves-Ribeiro, J., Sebastião, A. M., Meneses, C., & Vaz, S. H. (2023). SIGAA: signaling automated analysis: a new tool for Ca2+ signaling quantification using ratiometric Ca2+ dyes. Signal Image Video Processing, 18(2), 1273-1284. https://doi.org/10.1007/s11760-023-02821-7 | |
| dc.identifier.doi | https://doi.org/10.1007/s11760-023-02821-7 | |
| dc.identifier.eissn | 1863-1711 | |
| dc.identifier.issn | 1863-1703 | |
| dc.identifier.uri | http://hdl.handle.net/10400.21/22052 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer | |
| dc.relation | PTDC/MED-FAR/4834/2021 | |
| dc.relation | PD/BD/150342/2019 | |
| dc.relation.hasversion | https://link.springer.com/article/10.1007/s11760-023-02821-7 | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Astrocyte | |
| dc.subject | Central nervous system | |
| dc.subject | Calcium (Ca2+) ion | |
| dc.subject | Automation | |
| dc.subject | Image processing | |
| dc.subject | Video drift correction | |
| dc.subject | Template matching | |
| dc.subject | Automatic detection | |
| dc.subject | Morphological reconstruction | |
| dc.title | SIGAA: signaling automated analysis: a new tool for Ca2+ signaling quantification using ratiometric Ca2+ dyes | eng |
| dc.type | research article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 1284 | |
| oaire.citation.issue | 2 | |
| oaire.citation.startPage | 1273 | |
| oaire.citation.title | Signal, Image and Video Processing | |
| oaire.citation.volume | 18 | |
| oaire.version | http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |