PUBLICATION
Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics
- Authors
- Shang, C.F., Wang, Y.F., Zhao, M.T., Fan, Q.X., Zhao, S., Qian, Y., Xu, S.J., Mu, Y., Hao, J., Du, J.L.
- ID
- ZDB-PUB-240312-10
- Date
- 2024
- Source
- Nature Neuroscience 27(5): 1014-1018 (Journal)
- Registered Authors
- Du, Jiu Lin
- Keywords
- none
- MeSH Terms
-
- Animals
- Brain*/diagnostic imaging
- Brain*/physiology
- Computer Systems
- Image Processing, Computer-Assisted/methods
- Larva
- Neuroimaging/methods
- Neurons*/physiology
- Zebrafish*
- PubMed
- 38467902 Full text @ Nat. Neurosci.
Citation
Shang, C.F., Wang, Y.F., Zhao, M.T., Fan, Q.X., Zhao, S., Qian, Y., Xu, S.J., Mu, Y., Hao, J., Du, J.L. (2024) Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics. Nature Neuroscience. 27(5):1014-1018.
Abstract
Large-scale imaging of neuronal activities is crucial for understanding brain functions. However, it is challenging to analyze large-scale imaging data in real time, preventing closed-loop investigation of neural circuitry. Here we develop a real-time analysis system with a field programmable gate array-graphics processing unit design for an up to 500-megabyte-per-second image stream. Adapted to whole-brain imaging of awake larval zebrafish, the system timely extracts activity from up to 100,000 neurons and enables closed-loop perturbations of neural dynamics.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping