ArticleNature communications2024
Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN) for cross-modal individual analysis of the whole brain.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Robot-assisted wide-amplitude oscillatory photoacoustic scanning for three-dimensional human peripheral vascular imaging: A preliminary feasibility study.Photoacoustics · 2026Article
- Robust hybrid feature-driven on-the-fly mapping enables freehand 3D panoramic photoacoustic angiography.Light, science & applications · 2026Article
- A generative adversarial network with multi-scale structural features for sparse-view photoacoustic tomography reconstruction.Photoacoustics · 2026Article
- Deep computational photoacoustic mesoscopy through heterogeneous tissues enabled by scanning compensation and angular-spectrum enhancement.Photoacoustics · 2026Article
- Circular-scanning variance delay and sum algorithm for photoacoustic imaging.Biomedical optics express · 2026Article
- Noninvasive photoacoustic computed mesoscopy for longitudinal brain imaging.Science advances · 2026Article
- Dynamic microvascular monitoring with miniaturized omnidirectional broadband photoacoustic imaging system for living entities (MOBILE).Nature communications · 2026Article
- Self-supervised light fluence correction network for photoacoustic tomography based on diffusion equation.Photoacoustics · 2025Article
- Multimodal fluorescence-optoacousticPhotoacoustics · 2025Article
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Authors and funding
18 authors.
Funding
Abstract
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.
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Registered trials
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