Segmentor: a tool for manual refinement of 3D microscopy annotations.

ABSTRACT:

Background

Recent advances in tissue clearing techniques, combined with high-speed image acquisition through light sheet microscopy, enable rapid three-dimensional (3D) imaging of biological specimens, such as whole mouse brains, in a matter of hours. Quantitative analysis of such 3D images can help us understand how changes in brain structure lead to differences in behavior or cognition, but distinguishing densely packed features of interest, such as nuclei, from background can be challenging. Recent deep learning-based nuclear segmentation algorithms show great promise for automated segmentation, but require large numbers of accurate manually labeled nuclei as training data.

Results

We present Segmentor, an open-source tool for reliable, efficient, and user-friendly manual

SUBMITTER: Borland D 

PROVIDER: S-EPMC8141214 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature