Abstract

We present a software pipeline for high throughput stitching and processing of high-resolution tomographies of whole mouse brains. We then employ machine learning techniques for automatic segmentation and classification of neurons in the acquired datasets.

© 2018 The Author(s)

PDF Article
More Like This
Deep learning strategies for scalable analysis of high-resolution brain imagery

Giacomo Mazzamuto, Francesco Orsini, Matteo Roffilli, Paolo Frasconi, Francesco S. Pavone, and Ludovico Silvestri
11076_12 European Conference on Biomedical Optics (ECBO) 2019

Towards a Full Volumetric Atlas of Cell-specific Neuronal Spatial Organization in the Entire Mouse Brain

Ludovico Silvestri, Antonino Paolo Di Giovanna, Giacomo Mazzamuto, Trygve Leergard, Francesco Orsini, Irene Costantini, Jan Bjaalie, Paolo Frasconi, and Francesco Saverio Pavone
JTu3A.62 Clinical and Translational Biophotonics (Translational) 2018

High-throughput Light Sheet Tomography Platform for Fast Imaging of Whole Mouse Brain

Xiong Yang, Fei Huang, Longhui Li, Yongsheng Zhang, Xiaofeng Cheng, Shaoqun Zeng, and Xiaohua Lv
JW4A.117 Frontiers in Optics (FiO) 2018

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription