vSynApp
Fuente:
Zenodo
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| Autore principale: | |
|---|---|
| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2026
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| Accesso online: | |
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| _version_ | 1866902292685389824 |
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| author | Paget-Blanc, Vincent |
| author_facet | Paget-Blanc, Vincent |
| contents | <p dir="auto">The Synaptosome Imaging Analysis App (vSynApp) is designed to facilitate the analysis of synatposomal proteins imaged using immunofluorescence.</p> <p dir="auto">This app provides a suite of tools to analyze immunofluorescence microscopy images of synaptosomes. The primary goal is to analyse fluorescence on a per-structure basis, enabling researchers to assess signal thresholds, potential antibodies interactions, co-localizations, and the presence of bleedthrough between channels. Bleedthrough refers to the phenomenon where the signal from one fluorescence channel is detected in another channel, which can lead to false-positive interpretations of co-localization.</p> <p dir="auto">The app incorporates a variety of statistical and computational methods to analyze the data. These methods help distinguish between specific staining and background noise or non-specific staining, ensuring accurate interpretation of the microscopy data. </p> <p dir="auto">The app is currently tailored for data analysed using IJ-Toolset_SynaptosomesMacro.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18874537 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | vSynApp Paget-Blanc, Vincent <p dir="auto">The Synaptosome Imaging Analysis App (vSynApp) is designed to facilitate the analysis of synatposomal proteins imaged using immunofluorescence.</p> <p dir="auto">This app provides a suite of tools to analyze immunofluorescence microscopy images of synaptosomes. The primary goal is to analyse fluorescence on a per-structure basis, enabling researchers to assess signal thresholds, potential antibodies interactions, co-localizations, and the presence of bleedthrough between channels. Bleedthrough refers to the phenomenon where the signal from one fluorescence channel is detected in another channel, which can lead to false-positive interpretations of co-localization.</p> <p dir="auto">The app incorporates a variety of statistical and computational methods to analyze the data. These methods help distinguish between specific staining and background noise or non-specific staining, ensuring accurate interpretation of the microscopy data. </p> <p dir="auto">The app is currently tailored for data analysed using IJ-Toolset_SynaptosomesMacro.</p> |
| title | vSynApp |
| url | https://doi.org/10.5281/zenodo.18874537 |