Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > PIBM > 2017 > W3A > W3A.73

CNN-based Automatic Region Identification for Accelerating Whole Mouse Brain Imaging

Zhiguang Wang, Shangbin Chen, Hui Gong, Qingming Luo, and Anan Li

Not Accessible

Your library or personal account may give you access

Abstract

To reduce the time required for imaging during whole-brain data acquisition, we proposed a machine learning based method to segment the contour of propidium iodide-stained mouse brain images of tomography and achieved effective results.

© 2017 Optical Society of America

PDF Article
More Like This
A simple, rapid method to precisely locate mRNAs of intact mouse brain via fluorescence tomography

Wenyan Guo, Xiuli Liu, Yadong Gang, Fangfang Yin, Pei Li, Fei Huang, Ning Li, Qi Zhang, Yuxin Li, Yao Jia, Feng Xiong, Xiaojun Wang, Hui Gong, Qingming Luo, and Shaoqun Zeng
W3A.44 International Conference on Photonics and Imaging in Biology and Medicine (PIBM) 2017

Accelerating sectioning-based whole-brain imaging by real-time contour recognition of cytoarchitecture

Xiaoyu Zhang, Qiuyuan Zhong, Jing Yuan, Hui Gong, and Qingming Luo
AF2A.31 Asia Communications and Photonics Conference (ACP) 2016

Optimal Staining and Clearing Protocol for Whole Mouse Brain Vasculature Imaging with Light-sheet Microscopy

Antonino Paolo Di Giovanna, Alessandro Tibo, Ludovico Silvestri, Marie Caroline Müllenbroich, Irene Costantini, Leonardo Sacconi, Paolo Frasconi, and Francesco Saverio Pavone
104140N European Conference on Biomedical Optics (ECBO) 2017

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use