MarkTechPost@AI 2024年12月05日
E11 Bio Introduces PRISM: Revolutionizing Brain Connectomics for Scalable Neuroscience and AI Applications
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E11 Bio开发了一种名为PRISM的平台,旨在加速并降低脑连接组学研究的成本。通过结合蛋白质条形码、膨胀显微镜和自校对AI分割技术,PRISM能够以更低廉的价格获得电子显微镜级别的分辨率。该技术有望使整个大脑的映射成本降低100倍,从而推动神经科学和人工智能领域的发展,例如构建类脑AI系统、治疗脑部疾病以及开发脑机接口等。此外,PRISM还能够将转录组学细胞类型与连接组学相结合,创建桥接光学和电子显微镜等模式的‘罗塞塔石碑’数据集,从而促进对复杂大脑功能的理解。

🐭**PRISM平台的核心技术:**该平台整合了基因蛋白条形码、膨胀显微镜和自校对AI分割技术,通过为细胞分配独特的蛋白质条形码,实现AI自动分割,大幅减少人工校对,降低成本。

💡**大幅降低脑连接组学成本:**PRISM有望将整个大脑映射成本降低100倍,使得绘制不同脑状态和疾病的连接组成为可能,为神经科学和医学研究带来突破。

🔬**提升脑连接组学分辨率:**利用膨胀显微镜和GPU高效分割方法,PRISM在降低成本的同时,实现了与电子显微镜相当的分辨率,为研究提供更精细的脑结构信息。

🧬**构建‘罗塞塔石碑’数据集:**PRISM能够将转录组学细胞类型与连接组学相结合,创建桥接不同成像模式的数据集,促进对复杂大脑功能的理解,并推动细胞和连接组学图谱的进步。

🌍**推动神经科学与AI发展:**PRISM的应用前景广泛,包括构建类脑AI系统、治疗脑部疾病、开发脑机接口等,有望推动神经科学和人工智能领域取得重大进展。

The detailed study of the fly connectome has revolutionized neuroscience, offering insights into brain circuitry and its applications. Extending this progress to the mouse brain, which shares more structural similarities with the human brain, holds immense potential. It could provide the foundation for brain-inspired AI systems, enabling human-like capabilities such as continual learning, energy efficiency, and improved safety. Additionally, it may pave the way for breakthroughs in treating brain disorders by identifying abnormal connectivity patterns, testing therapies, and advancing brain-computer interfaces. On a broader scale, understanding mouse brain circuitry could illuminate how individual experiences are stored, guiding efforts to simulate human-like creativity and curiosity in AI responsibly.

However, scaling connectomics to map the larger mouse brain is a formidable challenge. With current electron microscopy techniques, reconstructing a single mouse connectome could exceed the cost of the Human Genome Project, primarily due to the labor-intensive proofreading step, which accounts for over 95% of project expenses. This process manually corrects AI-generated segmentations, making it a critical bottleneck in scaling mammalian brain studies. To make mouse brain connectomics routine and cost-effective, reducing the reliance on human proofreading is essential, ensuring the feasibility of mapping diverse brain states and disorders for transformative scientific and medical advancements.

Researchers from E11 Bio, alongside collaborators from institutions like the Crick Institute and MIT, have introduced PRISM (Photo-connectomic Reconstruction by Iterative Staining with Molecular annotations), a groundbreaking platform to make brain connectomics significantly faster, cheaper, and scalable. PRISM assigns unique protein barcodes to cells, enabling self-proofreading AI segmentation to drastically reduce human intervention, addressing over 95% of current costs. Leveraging light-sheet microscopy and expansion techniques, PRISM achieves electron microscopy-level resolution at a fraction of the cost, while GPU-efficient segmentation methods further cut expenses. These innovations collectively promise a 100-fold reduction in whole-brain mapping costs, paving the way for scalable neuroscience research and applications.

E11 Bio’s PRISM platform integrates genetic protein barcoding, expansion microscopy, and self-proofreading AI segmentation to revolutionize brain connectomics. Protein barcoding assigns unique molecular identifiers to neurons, enabling high-resolution discrimination of individual cells. Expansion microscopy offers nanoscale imaging using light microscopy, reducing reliance on costly electron microscopy. Advanced AI models leverage multi-channel data for automated, accurate image segmentation, minimizing the need for manual proofreading. PRISM aims to scale connectomics for entire mammalian brains within five years, with plans to improve imaging, segmentation, and real-time data processing while collaborating with global partners to advance hardware, software, and applications for neuroscience and AI.

PRISM, developed by E11 Bio, enables the capture of molecular annotations through multi-cycle imaging, allowing for a deeper understanding of brain connectivity. Linking transcriptomic cell types to connectomes creates “Rosetta Stone” datasets bridging modalities like optical and electron microscopy. This integration enhances simulations of brain networks and can support advances in cell and connectomic atlases. Combining PRISM with RNA profiling and RNA-based mapping methods holds significant promise for understanding complex brain functions, offering vast potential for neuroscience and AI applications.

E11 Bio’s fast-paced R&D program, backed by an expert interdisciplinary team, has made notable advancements in neuronal wiring imaging, AI-based image segmentation, and CRISPR barcoding techniques. Their work on expansion microscopy has dramatically improved optical resolution, enabling detailed brain mapping at the nanoscale. As a non-profit organization with an open science philosophy, E11 Bio is committed to making its groundbreaking technology accessible to researchers globally, aiming to scale connectomics from smaller brains to larger, more complex ones like humans. This approach is pivotal for advancements in brain-inspired AI and treating brain disorders.


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脑连接组学 PRISM E11 Bio 人工智能 神经科学
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