Skip navigation
Search
Sciety application settings
Home
Groups
Explore
Newsletter
About
Log In
Deep learning-based cytoskeleton segmentation for accurate high-throughput measurement of cytoskeleton density
Ryota Horiuchi
Asuka Kamimura
Yuga Hanaki
Hikari Matsumoto
Minako Ueda
Takumi Higaki
Read the full article
See related articles
Listed in
This article is not in any list yet, why not save it to one of your lists.
Log in to save this article
Abstract
No abstract available
Article activity feed
Version published to 10.1007/s00709-024-02019-9
Dec 18, 2024
Version published to 10.1101/2024.05.27.596126 on bioRxiv
May 30, 2024
Related articles
QuantEM: An optimized platform of vision transformer-based models for segmentation and analysis of electron microscopy data
This article has 9 authors:
Christopher Acree
Evan Krystofiak
Kathryn Coate
Kathleen DelGiorno
Nathan Winn
Sammy Weiser Novak
Elma Zaganjor
Mark Magnuson
Rafael Arrojo e Drigo
FOCUS-3D: Robust, generalizable volumetric cell segmentation for three-dimensional fluorescence microscopy
This article has 11 authors:
Qinghua Zhang
Zeyu Mu
Boqi Liu
Yunfeng Chi
Donglin Li
Wenjuan Wang
Jian-Quan Ni
Yinan Wan
Li Yu
Joaquín Navajas Acedo
Guoqiang Yu
Physics-Guided Neural Reconstruction of Cellular Membranes for 3D Electron Microscopy
This article has 4 authors:
Atsushi Matsuda
Se Min Kim
Matthew Akamatsu
Christopher T. Lee
Site navigation links
Home
Groups
Explore
Newsletter
About
Log In