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...

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Veröffentlicht in:	Scientific reports Jg. 13; H. 1; S. 7109 - 13
Hauptverfasser:	Wen, Chentao, Matsumoto, Mami, Sawada, Masato, Sawamoto, Kazunobu, Kimura, Koutarou D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 22.05.2023 Nature Publishing Group Nature Portfolio
Schlagworte:	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-Zugang:	Volltext
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