3D Visualization in Scientific Studies

What if you could fly through someone’s brain — and actually watch it think in real time? 🧠 This stunning 3D visualization makes that possible. It shows live brain activity mapped from EEG (electroencephalography) signals onto a realistic 3D model of the human brain. Each color represents a different brainwave frequency — from calm alpha and focused beta, to fast, high-energy gamma rhythms. The golden lines trace the brain’s white matter pathways, and the moving light pulses represent information flowing between regions — the brain communicating with itself in real time. How it’s built The process begins with MRI scans to create a high-resolution 3D model of the brain, skull, and scalp. Then, DTI (Diffusion Tensor Imaging) maps the brain’s wiring — the white matter tracts that connect its regions. Next comes EEG recording, captured using a 64-channel mobile EEG cap. Advanced software pipelines like BCILAB and SIFT clean the data, remove noise, and use mathematical modeling to “source-localize” brain activity — estimating where in the brain each signal originates. They also analyze information flow using a technique called Granger causality, revealing which brain regions are influencing others at any given moment. From Data to Experience All of this is brought to life in Unity, a 3D engine usually used for games. Here, the brain becomes a fully navigable world — you can literally fly through it using a controller and watch live signals flicker and flow. It’s data turned into experience — a fusion of neuroscience, art, and technology that lets us see the living mind at work. Why it matters By merging EEG, MRI, and DTI, researchers can study how the brain’s networks communicate, and how this connectivity changes in conditions like epilepsy, depression, or neurodegenerative diseases. This work also pushes forward brain-computer interface research — paving the way for future technologies that help restore movement, communication, or sensation through brain signals alone. Every flicker of light here represents a thought, a signal, a decision — the brain in motion. 🎥 Video Credits: Dr. Gary Hatlen

3D BRAIN MODELS UNLOCK NEW INSIGHTS INTO MEMORY & CONNECTIVITY Researchers have developed the most detailed 3D computational models of key brain regions, including the hippocampus and sensory cortices, to better understand their roles in memory formation and connectivity. These models integrate anatomical and physiological data, capturing synaptic plasticity and long-range interactions. By simulating brain activity, the models enable predictions about cortical processing and provide tools for future experimental validation. They are openly accessible to the scientific community for further research and refinement. Insights from the models reveal how connectivity shapes complex brain networks and how learning occurs through synaptic plasticity in realistic conditions. This work paves the way for studying phenomena ranging from neural coding to the impacts of specific neurotransmitters. Key Facts: 1. Researchers created 3D models integrating data on anatomy, connectivity, and physiology of the hippocampus and sensory cortices. 2. The models reveal how connectivity patterns form structured brain networks and enable learning through synaptic plasticity. 3. Accessible on a public platform, the models support global research and experimental validation. Source: https://lnkd.in/gfsKe94d

🔬 Breaking New Ground in 3D Tissue Imaging - A Game-Changing Collaboration! 🚀 I'm incredibly excited to share our latest breakthrough published in Nature Communications, representing a powerful collaboration between Vanderbilt University Vanderbilt University Medical Center, KAIST TOMOCUBE, INC., and leading medical institutes. "Revealing 3D microanatomical structures of unlabeled thick cancer tissues using holotomography and virtual H&E staining" Led by the visionary Prof. YongKeun 'Paul' Park (KAIST and TOMOCUBE, INC.) and myself at Vanderbilt University Medical Center Vanderbilt University our team has achieved what was once thought impossible: 🌟 THE WORLD'S FIRST completely non-destructive, label-free method to visualize living tissue in stunning 3D detail - no staining, no sectioning, no damage! 🎯 Revolutionary Breakthroughs: 📸 See inside tissues 50 μm thick - that's 12.5x thicker than traditional methods! 🔍 Watch individual cells in their natural 3D environment 💎 Preserve 100% of precious tissue for additional testing ⚡ Get results in hours with no prep 🤖 AI-powered virtual staining matches traditional H&E quality 💡 Why This Changes Everything: Imagine being able to "fly through" a tumor in 3D, tracking every cancer cell without destroying the sample. That's now reality! 🚀 Game-Changing Applications: ✅ Precision Cancer Surgery - See exact tumor margins in 3D ✅ Rare Disease Diagnosis - Analyze precious biopsies without waste ✅ Drug Development - Watch drugs penetrate tissues in real-time ✅ Single-Cell Genomics - Preserve tissue for multi-omics analysis ✅ Digital Pathology 2.0 - Enable global 3D consultations ✅ Personalized Medicine - Tailor treatments to 3D tissue architecture This technology, powered by TOMOCUBE, INC.'s cutting-edge holotomography systems, represents the future of medical imaging and diagnostics. Special thanks to our incredible team across Vanderbilt University Medical Center Vanderbilt University Mayo Clinic, Yonsei University, and TOMOCUBE, INC. for making this vision a reality! 🔗 Read the full paper: https://rdcu.be/encJ1

BrAVe: Unifying the Brain Across Scales and Species The quest to understand the brain’s structure and function has long been limited by one barrier: the inability to integrate molecular, structural, and functional data across scales and species. A new open-source framework, BrAVe (BrainAtlas Viewer), aims to change that. BrAVe provides a 3D, species-agnostic, interactive platform for integrating multimodal brain atlas datasets, from gene expression and neuronal morphology to circuit connectivity and whole-brain activity. Supporting standardized data formats (.nrrd, .stl, .csv, .swc), it enables researchers to visualize and quantitatively analyze how molecular signatures align with neuronal structures and network wiring, across flies, fish, mice, and primates. At its core, BrAVe bridges three frontiers of brain research: ◾ Cross-modal integration: linking molecular, structural, and functional data in a unified coordinate space to identify molecularly defined neurons and their functional circuits. ◾ Cross-scale mapping: connecting light and electron microscopy datasets to match neuronal types and reconstruct synaptic networks. ◾ Cross-species alignment: enabling comparative analyses from invertebrates to non-human primates within a single framework. Technically, BrAVe combines intuitive 3D visualization with a distributed computing backend for high-performance analysis of large-scale datasets. Users can perform neuron morphology clustering, infer synaptic connectivity, and explore network motifs, all without code. It adheres to FAIR principles, promoting interoperability, reproducibility, and open science. From a translational perspective, this kind of integrative spatial biology platform has far-reaching implications: ▪️ For neuroscience, it means accelerating cell-type discovery and functional annotation. ▪️ For neurodegenerative and psychiatric disease research, it opens a path to correlate molecular changes with circuit-level dysfunction. ▪️ And for the broader life sciences, BrAVe’s architecture offers a template for multi-omic, spatially anchored analysis that could extend to other organs (heart, lung, or kidney) ushering in a next generation of organ-level reference atlases. The future of brain mapping will not be defined by one dataset or imaging modality, but by the integration of many. Tools like BrAVe move us toward an era where spatial registration is as foundational to biology as sequencing once was - linking molecules, cells, and networks into coherent, dynamic systems we can finally see and analyze as one. Read the full preprint: https://lnkd.in/eYBkY_UX #Neuroscience #BrainAtlas #SpatialBiology #Neuroinformatics #OpenScience

It’s easy to forget that human cell biology occurs in incredibly dense tissues. In this stylized animation, I explore the struggle between killer T-cells and a cancer cell in a crowded and dynamic tissue. We are accustomed to seeing depictions of cells floating in space, separated from the complex tissues they came from. These types of depictions are important; if we always depicted biology as dense as it really is, we wouldn’t be able to see anything at all. Part of communicating our ideas is isolating what’s most important to our message. We know from static microscopy that human tissue is extremely crowded with cells, but it’s rare that we ever really see human biology in motion and in its native tissue at the scale of a cell. There aren’t very many ethical ways to visualize live cellular dynamics in people. Consequently, almost all real scientific observations of human cells in motion are either outside the body or in animals that can be imaged live. But it’s hard to believe that the crowded and 3-dimensional nature of tissue doesn’t impact almost every aspect of physiology. Immune cells don’t just fly unimpeded toward cancer cells and pathogens; they travel distances many times their length while squeezing through barriers a fraction of their size. And when a killer T cell reaches its target, the process that ensues is an active and dynamic battle of mechanical tension in a crowded arena. I think there’s tremendous value in really pushing ourselves to think about how we imagine that these cellular processes look, especially in their native context, where we rarely have the opportunity to observe them. Because whether we like it or not, the way that we visualize our ideas impacts the way that we actually think about them. ------------- About the animation: This animation was made using soft body physics simulations techniques in Houdini and rendered with 3D graphics in blender. It depicts a group of killer T-cells (specialized immune cells) surrounding and neutralizing a cancer cell in breast tissue.

🧠 Here is a recent example of how 3D neural models are being used to study infectious CNS diseases such as toxoplasmosis. In this case, the authors investigate the mechanisms by which pathogens cross the blood–brain barrier (BBB) and gain access to the central nervous system. Using brain endothelial spheroids and cortical organoids, they recreate key BBB features in three dimensions, allowing processes to be studied that are difficult to resolve with 2D monolayers.. The figure shows an early moment of invasion: type II 𝘛𝘰𝘹𝘰𝘱𝘭𝘢𝘴𝘮𝘢 𝘨𝘰𝘯𝘥𝘪𝘪 tachyzoites (red) are detected not only at the outer endothelial layer, but also deeper within the spheroid, beyond ZO-1–positive tight junctions (green) (a component of the BBB). This occurs within hours and without obvious disruption of this barrier integrity, suggesting an active transmigration instead of a mechanical rupture. 🔗 Read the full study in the link in the comments 📍 Follow for more science, health and tech! #BrainOrganoids #3DCellModels #BloodBrainBarrier #CNSInfection #InfectiousDiseaseResearch #Neurobiology #Toxoplasmosis #OrganoidScience

New #OpenAccess study: Lumbar Spine 7T Neurography 👉 Download the article here: https://lnkd.in/eQNVdyMf #NerveFasicles of the lumbar spine are small and intricate anatomical structures. This first in-vivo 7T #MRNeurography study published in #InvestigativeRadiology uses a high-resolution 3D-DESS sequence to substantially improve visualization of the lumbar nerve roots, dorsal root ganglia, and spinal nerve fascicles compared to 3T MRI. This opens up new possibilities for visualizing the lumbosacral plexus and abnormalities of the lumbar nerves. Universitätsklinik Balgrist | Balgrist Campus AG | University of Zurich | Siemens Healthineers | Adrian Marth | Georg Feuerriegel | Daniel Nanz #MSKrad | #SpineHealth