SParQ
SParQ automates identification and quantification of punctate fluorescent vesicular structures in Fiji/ImageJ to support quantitative analysis of the endolysosomal system and protein homeostasis, including autophagy.
Key Features:
- Automation: Automates quantification of punctate fluorescent structures within images.
- Fiji/ImageJ integration: Operates as a plug-in within Fiji/ImageJ to perform analyses inside that image analysis environment.
- User control and evaluation: Provides user oversight at critical stages of the quantification process to support accuracy and evaluation.
- Large-dataset processing: Enables efficient processing of large imaging datasets.
- Targeted vesicle quantification: Identifies and quantifies endosomes, autophagosomes, lysosomes, and model substrates labeled with fluorescent markers or fluorescent antibodies.
Scientific Applications:
- Endolysosomal system analysis: Quantitative analysis of endosomes, autophagosomes, lysosomes, and model substrates in fluorescence microscopy images.
- Protein homeostasis and transport: Studies of protein homeostasis and intracellular transport mechanisms relevant to cellular physiology.
- Autophagy research: Comparative quantification in chaperone-mediated autophagy (CMA), macroautophagy (MA), and endosomal microautophagy (eMI).
- Condition-based imaging studies: Quantification of vesicular structures across different experimental conditions using fluorescent markers or antibodies.
Methodology:
Identifies and quantifies punctate fluorescent structures within images via an automated Fiji/ImageJ plug-in workflow with user oversight at critical stages.
Topics
Details
- Added:
- 1/14/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Mesquita A, Pereira J, Jenny A. Streamlined particle quantification (SParQ) plug-in is an automated fluorescent vesicle quantification plug-in for particle quantification in Fiji/ImageJ. Autophagy. 2019;16(9):1711-1717. doi:10.1080/15548627.2019.1695400. PMID:31752589. PMCID:PMC8386606.
PMID: 31752589
PMCID: PMC8386606
Funding: - American Heart Association: 18POST34030231
- NIH: GM119160