MicroLive: An Image Processing Toolkit for Quantifying Live-cell Single-Molecule Microscopy.

ABSTRACT: Advances in live-cell fluorescence microscopy have enabled us to visualize single molecules (such as mRNAs and nascent proteins) in real time with high spatiotemporal resolution. However, these experiments generate large datasets that require complex computational processing pipelines to derive meaningful and quantitative information, which is a technical barrier for many researchers. To address this barrier, here, we introduce MicroLive, an open-source Python-based application for quantifying live-cell microscopy images. MicroLive provides an interactive Graphical User Interface (GUI) to perform key tasks, including cell segmentation, photobleaching correction, single-particle detection/tracking, spot intensity quantification, inter-channel colocalization, and time-series correlation anal

SUBMITTER: Aguilera LU 

PROVIDER: S-EPMC12621939 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature