Algorithm for semi-automatic detection of insulin granule exocytosis in human pancreatic β-cells.

ABSTRACT: Image processing and analysis are two significant areas that are highly important for interpreting enormous amounts of data obtained from microscopy-based experiments. Several image analysis tools exist for the general detection of fundamental cellular processes, but tools to detect highly distinct cellular functions are few. One such process is exocytosis, which involves the release of vesicular content out of the cell. The size of the vesicles and the inherent differences in the imaging parameters demand specific analysis platforms for detecting exocytosis. In this direction, we have developed an image-processing algorithm based on Lagrangian particle tracking. The tool was developed to ensure that there is efficient detection of punctate structures initially developed by mathematical eq

SUBMITTER: Makam AA 

PROVIDER: S-EPMC11483283 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature