Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, PR China.
Institute for Intelligent Healthcare, Tsinghua University, Beijing, 100084, PR China.
Nat Commun. 2024 May 18;15(1):4228. doi: 10.1038/s41467-024-48393-z.
Cross-modal analysis of the same whole brain is an ideal strategy to uncover brain function and dysfunction. However, it remains challenging due to the slow speed and destructiveness of traditional whole-brain optical imaging techniques. Here we develop a new platform, termed Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN), for non-destructive, high-speed, 3D imaging of ex vivo rodent, ferret, and non-human primate brains. Using an optimally designed image acquisition scheme and an accompanying machine-learning algorithm, PATTERN extracts signals of genetically-encoded probes from photobleaching-based temporal modulation and enables reliable visualization of neural projection in the whole central nervous system with 3D isotropic resolution. Without structural and biological perturbation to the sample, PATTERN can be combined with other whole-brain imaging modalities to acquire the whole-brain image with both high resolution and morphological fidelity. Furthermore, cross-modal transcriptome analysis of an individual brain is achieved by PATTERN imaging. Together, PATTERN provides a compatible and versatile strategy for brain-wide cross-modal analysis at the individual level.
跨模态分析同一整个大脑是揭示大脑功能和功能障碍的理想策略。然而,由于传统的全脑光学成像技术速度慢且具有破坏性,因此仍然具有挑战性。在这里,我们开发了一种新平台,称为具有时间编码重建的光声断层扫描(PATTERN),用于对离体啮齿动物、雪貂和非人类灵长类动物大脑进行非破坏性、高速、3D 成像。使用经过优化设计的图像采集方案和伴随的机器学习算法,PATTERN 从基于光漂白的时间调制中提取遗传编码探针的信号,并能够以 3D 各向同性分辨率可靠地可视化整个中枢神经系统中的神经投射。PATTERN 不会对样品造成结构和生物学上的干扰,因此可以与其他全脑成像模式结合使用,以获得具有高分辨率和形态保真度的全脑图像。此外,PATTERN 通过成像实现了个体大脑的跨模态转录组分析。总之,PATTERN 为个体水平的全脑跨模态分析提供了一种兼容且通用的策略。