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

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...

Full description

Saved in:

Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; pp. 7109 - 13
Main Authors:	Wen, Chentao, Matsumoto, Mami, Sawada, Masato, Sawamoto, Kazunobu, Kimura, Koutarou D.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 22.05.2023 Nature Publishing Group Nature Portfolio
Subjects:	631/114/1564 631/378/3920 Cell morphology Cytology Deep learning Electron microscopy Humanities and Social Sciences Image processing Image Processing, Computer-Assisted - methods Imaging, Three-Dimensional - methods Medical research Microscopy Microscopy, Electron Morphology multidisciplinary Neural networks Science Science (multidisciplinary) Scientists Segmentation Software
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!