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High‐throughput light sheet tomography platform for automated fast imaging of whole mouse brain
Author(s) -
Yang Xiong,
Zhang Qi,
Huang Fei,
Bai Ke,
Guo Yiming,
Zhang Yongsheng,
Li Ning,
Cui Yuting,
Sun Pei,
Zeng Shaoqun,
Lv Xiaohua
Publication year - 2018
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201800047
Subject(s) - light sheet fluorescence microscopy , computer science , fixation (population genetics) , artificial intelligence , biological neural network , throughput , biomedical engineering , computer vision , microscopy , medicine , pathology , machine learning , telecommunications , population , environmental health , scanning confocal electron microscopy , wireless
Acquiring information of the neural structures in the whole‐brain level is vital for systematically exploring mechanisms and principles of brain function and dysfunction. Most methods for whole brain imaging, while capable of capturing the complete morphology of neurons, usually involve complex sample preparation and several days of image acquisition. The whole process including optical clearing or resin embedding is time consuming for a quick survey of the distribution of specific neural circuits in the whole brain. Here, we develop a high‐throughput light‐sheet tomography platform (HLTP), which requires minimum sample preparation. This method does not require optical clearing for block face light sheet imaging. After fixation using paraformaldehyde, an aligned 3 dimensional image dataset of a whole mouse brain can be obtained within 5 hours at a voxel size of 1.30 × 1.30 × 0.92 μm. HLTP could be a very efficient tool for quick exploration and visualization of brain‐wide distribution of specific neurons or neural circuits.