High‐throughput light sheet tomography platform for automated fast imaging of whole mouse brain

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.

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Details

Published: Jun 08, 2018
Vol/Issue: 11(9)
License: View

Authors

Q

Qi Zhang

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

F

Fei Huang

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

K

Ke Bai

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

Y

Yiming Guo

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

Y

Yongsheng Zhang

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

N

Ning Li

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

Y

Yuting Cui

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

P

Pei Sun

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

S

Shaoqun Zeng

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

X

Xiaohua Lv

Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology Wuhan China; MOE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences Huazhong University of Science and Technology Wuhan China

Funding

National Natural Science Foundation of China Award: 61475059, 61421064

Ministry of Science and Technology of the People's Republic of China Award: 2015CB755603

Cite This Article

Qi Zhang, Fei Huang, Ke Bai, et al. (2018). High‐throughput light sheet tomography platform for automated fast imaging of whole mouse brain. Journal of Biophotonics, 11(9). https://doi.org/10.1002/jbio.201800047

High‐throughput light sheet tomography platform for automated fast imaging of whole mouse brain

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