Neuroscience Monday 11/9 Lecture
時間：2026年11月9日（星期一）下午5:30 – 7:00
地點：臺大校總區心理系北館N100階梯教室
講員：朱麗安副教授/臺灣大學醫學工程學系
講題：3D spatial biology across scales
講題：3D spatial biology across scales
摘要：
Optical microscopes have long been vital to neuroscience and clinical research, offering an unprecedented view into the microscopic world of cells and tissues. In neuroscience, these instruments illuminate the fine architecture of neurons, synapses, and neural circuits, enabling deeper insights into how the brain functions and how various disorders arise. In clinical and drug delivery research, optical imaging technologies help visualize drug transport, monitor tumor growth, and assess therapeutic outcomes, informing the development of improved diagnostic methods and treatment strategies.
When combined with deep learning–based analysis, optical microscopy becomes an even more powerful tool. Automated algorithms can swiftly identify intricate patterns in large-scale images, revealing subtle biomarkers and correlations that might elude traditional manual methods. This synergy has accelerated research progress in both neuroscience and oncology, unlocking new avenues for the discovery of diagnostic tools, targeted therapies, and personalized treatment protocols.
In this presentation, we will explore recent developments in organ-level quantitative multiplex microscopy imaging, super-resolution microscopy, and deep learning–driven image analysis. We will discuss how these advances offer a comprehensive understanding of complex biological systems—spanning entire organs—and highlight their applications in both brain research and drug delivery, ultimately paving the way for more effective interventions and improved patient outcomes.
When combined with deep learning–based analysis, optical microscopy becomes an even more powerful tool. Automated algorithms can swiftly identify intricate patterns in large-scale images, revealing subtle biomarkers and correlations that might elude traditional manual methods. This synergy has accelerated research progress in both neuroscience and oncology, unlocking new avenues for the discovery of diagnostic tools, targeted therapies, and personalized treatment protocols.
In this presentation, we will explore recent developments in organ-level quantitative multiplex microscopy imaging, super-resolution microscopy, and deep learning–driven image analysis. We will discuss how these advances offer a comprehensive understanding of complex biological systems—spanning entire organs—and highlight their applications in both brain research and drug delivery, ultimately paving the way for more effective interventions and improved patient outcomes.