PunctaFinder: An algorithm for automated spot detection in fluorescence microscopy images.

ABSTRACT: Fluorescence microscopy has revolutionized biological research by enabling the visualization of subcellular structures at high resolution. With the increasing complexity and volume of microscopy data, there is a growing need for automated image analysis to ensure efficient and consistent interpretation. In this study, we introduce PunctaFinder, a novel Python-based algorithm designed to detect puncta, small bright spots, in raw fluorescence microscopy images without image denoising or signal enhancement steps. Furthermore, unlike other available spot detectors, PunctaFinder not only detects puncta, but also defines the cytoplasmic region, making it a valuable tool to quantify target molecule localization in cellular contexts. PunctaFinder is a widely applicable punctum detector and size es

SUBMITTER: Terpstra HM 

PROVIDER: S-EPMC11656481 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature