Seg2Link: an efficient and versatile solution for semi-automatic cell segmentation in 3D image stacks.

ABSTRACT: Recent advances in microscopy techniques, especially in electron microscopy, are transforming biomedical studies by acquiring large quantities of high-precision 3D cell image stacks. To examine cell morphology and connectivity in organs such as the brain, scientists need to conduct cell segmentation, which extracts individual cell regions of different shapes and sizes from a 3D image. This is challenging due to the indistinct images often encountered in real biomedical research: in many cases, automatic segmentation methods inevitably contain numerous mistakes in the segmentation results, even when using advanced deep learning methods. To analyze 3D cell images effectively, a semi-automated software solution is needed that combines powerful deep learning techniques with the ability to perf

SUBMITTER: Wen C 

PROVIDER: S-EPMC10203120 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature