CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

ABSTRACT: Volume correlative light and electron microscopy (vCLEM) is a powerful imaging technique that enables the visualization of fluorescently labeled proteins within their ultrastructural context. Currently, vCLEM alignment relies on time-consuming and subjective manual methods. This paper presents CLEM-Reg, an algorithm that automates the three-dimensional alignment of vCLEM datasets by leveraging probabilistic point cloud registration techniques. Point clouds are derived from segmentations of common structures in each modality, created by state-of-the-art open-source methods. CLEM-Reg drastically reduces the registration time of vCLEM datasets to a few minutes and achieves correlation of fluorescent signal to submicron target structures in electron microscopy on three newly acquired vCLEM ben

SUBMITTER: Krentzel D 

PROVIDER: S-EPMC12446066 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature