This might look like a hologram, but it is actually a real MRI scan reconstructed as an interactive 3D model.
The Illumetry IO display uses stereoscopic glasses and head tracking to show a slightly different image to each eye. As the viewer moves, the perspective changes with them, making the anatomy appear to extend out of the screen.
A stylus can then be used to move and explore the model without wearing a bulky VR headset.
The colours are added during segmentation to distinguish anatomical structures such as bones or muscles.
The technology exists, but this particular demonstration should be viewed primarily as a new interface for medical visualisation, instead of a clinically proven replacement for radiologists scrolling through MRI slices.
Everyone in this room is staring at a floating human brain. 🧠
Not through a VR headset.
Not on a 2D monitor.
But as a life-sized, interactive 3D hologram reconstructed from an MRI scan.
For decades, doctors have interpreted hundreds of flat MRI or CT slices, mentally reconstructing anatomy in their minds.
Today, AI, spatial computing, stereoscopic displays, and real-time rendering are changing that.
Imagine what this means:
🏥 Surgeons can visualize complex anatomy before making the first incision.
🧠 Medical students can literally walk around a human organ.
🤖 AI can automatically segment tumors, blood vessels, nerves, and organs in seconds.
📊 Multiple specialists can collaborate around the same 3D model instead of scrolling through thousands of images.
⚡ Faster decisions. Better planning. Potentially safer procedures.
This isn’t just about making images look “cool.”
It’s about reducing cognitive load.
Our brains evolved to understand the world in 3D—not as thousands of grayscale image slices. By transforming medical scans into spatial, interactive objects, technology lets clinicians focus on diagnosis and treatment instead of mentally reconstructing anatomy.
And this is only the beginning.
As AI continues to advance, we’re moving toward a future where every MRI, CT scan, ultrasound, or even live surgical feed becomes an intelligent, interactive digital twin of the patient.
The convergence of:
• AI
• Spatial Computing
• High-performance computing
• Advanced GPUs
• Real-time visualization
will redefine medicine over the next decade.
The hospitals of the future won’t just display medical data.
They’ll let doctors step inside it.
The question isn’t whether AI will transform healthcare.
The question is how quickly hospitals can adopt the computing infrastructure needed to make it reality?
#AI#Healthcare via @royrodenhaeuser #MedicalImaging#SpatialComputing#DigitalTwin#Holograms#Innovation#FutureOfHealthcare#MachineLearning#HighPerformanceComputing#GPU#Technology
🚀 Fʀᴏᴍ Pᴏɪɴᴛ Cʟᴏᴜᴅꜱ ᴛᴏ Pʀᴇᴄɪꜱɪᴏɴ: Cᴏʀʀɪᴅᴏʀ Mᴀᴘᴘɪɴɢ ᴡɪᴛʜ AʀᴄGIS Pʀᴏ 🌐
Ever wondered how point clouds can be transformed into actionable insights for corridor analytics? Let me take you through a workflow starting from an unclassified Point Cloud! 🛰️✨
Besides using out-of-the-box tools for ground and building classification you also can use deep learning models to classify point clouds. In this case, LiDAR point clouds were additionally classified into Powerlines using a 𝐩𝐫𝐞-𝐭𝐫𝐚𝐢𝐧𝐞𝐝 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐄𝐬𝐫𝐢 𝐋𝐢𝐯𝐢𝐧𝐠 𝐀𝐭𝐥𝐚𝐬. The classified Point Cloud then was used to derive raster information such as elevation layers and also features, such as line features for the powerlines (Have a look at the complete workflow in the Storymap (LINK in Comments). This paved the way for leveraging the 3D Analyst tools in ArcGIS Pro. From corridor mapping to spatial analytics, ArcGIS Pro became the hub where data turned into decisions! 🌟
This approach not only simplifies the complexities of point cloud data but also enables accurate and efficient corridor mapping planning, environmental, crucial for infrastructure studies, and beyond. 🛤️🌿
💡 By combining AI with advanced GIS tools, we’re redefining the way we analyze and visualize our world in 3D. 🧠📊
Have a look at the Storymap for the complete workflow! Link in the Comments!
🤝 Let's spark a conversation! How are you leveraging Point Clouds in ArcGIS? Share your insights, challenges, and success stories below. Let's amplify our collective GIS capabilities! 💬💡
💡 #IMGIS25#LandCover#3DAnalytics#Geospatial#LiDAR#Innovation#CorridorMapping#DeepLearning#Sustainability#Forests#ArcGISPro#Esri#GIS#SpatialAnalysis#ArcGIS#remotesensing#EsriDeutschland#EarthObservation#EsriLivingAtlas#DataVisualization#esrivoices🔍 🚀 🌱
Award-winning Journalist, Content Creator and Industry Commentator. Host of On-Site Videos, Webinars & Live Events. Owner of Contentforindustry.com and correspondent for Earthmovers Magazine
Scanning above and below ground whilst creating advanced 3D models at Highways UK.
I caught up with James Tindall from Castle Surveys Ltd to talk about its real showstopper. Their fully wrapped mobile mapping unit, equipped with Leica Geosystems part of Hexagon mobile mapping and ground penetrating radar solutions.
James: “Our TRK mobile mapping system captures data at highway speeds, up to 70 miles an hour, making it perfect for topographical surveys, asset management, vegetation encroachment, and pavement analysis.
"In conjunction with the Stream UP ground penetrating radar, we’re now able to capture above and below ground utility information simultaneously.”
What’s equally important is what happens next, the processing. For that, Castle Surveys has chosen TopoDOT, as James explained:
“We wanted a solution that could give us everything we needed, with no compromise. TopoDOT lets us extract, assess and verify our data in one place. It’s the reassurance that what we hand over to clients is completely accurate.”
To find out more, I spoke with Filipe Pinto from TopoDOT, who explained how their software turns raw data into actionable insights.
“TopoDOT empowers any LiDAR user from mobile mapping to UAV and static scanning to transform complex point clouds into vector data for decision-making.
"Users can extract features like kerbs, signage, and pavement condition, calculate volumes, assess bridge clearances, and even identify potholes automatically.”
And it doesn’t stop there. Filipe added:
“Our collaboration platform means clients don’t need CAD or GIS software. They can view and query LiDAR derived data through a simple web link, making it accessible to designers, engineers and maintenance teams alike.”
It’s great to see how Leica Geosystems cutting-edge capture technology, Castle Surveys’ surveying expertise, and TopoDOT’s powerful processing tools have come together at Highways UK.
And we look forward to visiting the Castle Surveys team to learn how they put everything together.
#surveying#highwaysUK#highways#mobilemapping#infrastructure#pointclouds
Research Scientist | Inventor of Cognitively Operated Systems 🧠 | Neuroscience | Brain Computer Interface (BCI) | Published Author with a BCI patent and several other Patents (mentioned below🔻) and IPRs
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
Most parks don’t fail because of poor design.
They fail because ecology is ignored.
A park is not just pathways, lawns, and benches — it is a living system that needs to be designed with water, soil, climate, biodiversity, and human behaviour in mind.
Dead plantations?
Often a result of poor species selection, wrong soil mixes, or ignoring wind & sunlight patterns.
Dry landscapes or waterlogging?
Caused by missing contour studies, faulty drainage planning, and zero water-balance analysis.
No birds, no shade, no life?
Because biodiversity wasn’t considered.
Every tree species supports a specific set of insects & birds — and when you plant the wrong species, the entire chain collapses.
This is why ecological planning is not optional — it’s the foundation of long-lasting public spaces.
As a Landscape Architect & Ecological Planner, my work goes beyond aesthetics:
✔️ Water management & sustainable flow systems
✔️ Soil & geology studies for long-term plant survival
✔️ Climate-responsive design
✔️ Plantation strategy based on biodiversity
✔️ Creating parks, campuses & public spaces that thrive — not just in the first year, but for decades
Parks fail when ecology is missing.
Parks succeed when science, sustainability, and design work together.
Let’s build public spaces that live, breathe, and grow — not fade away.
link If you care about sustainability, landscape.
#LandscapeArchitecture#EcologicalPlanning#UrbanDesign#SustainableDevelopment#ClimateResponsiveDesign#WaterManagement#BiodiversityMatters#GreenInfrastructure#PublicSpaces#UrbanPlanning#EnvironmentalDesign#ParksAndRecreation#LandscapeArchitect#SustainabilityInDesign#SoilHealth#CityDevelopment#FutureOfCities
Landscape Architecture, Ecological Planning, Urban Greens, Sustainable Design, Biodiversity, Water Management, Public Space Development, Climate Responsive Design, Environmental Planning, Park Design Strategy
Exploring Tropical Landscape Design — Through Materials, Texture & Plant Identity
As part of our design process in landscape architecture, visualizing materiality is as important as spatial planning. This tropical moodboard is more than just a collage — it’s a tactile narrative that captures the essence of tropical outdoor environments, balancing texture, warmth, durability, and native planting palettes.
🔹 Hardscape Materials:
We carefully selected materials that reflect natural harmony and long-term functionality in tropical climates:
Travertine & Limestone: Light-toned, porous stones that stay cool underfoot and blend beautifully with vegetation.
Porcelain: For modern walkways and patios, offering durability and minimal water absorption.
Basalt: A darker, high-contrast volcanic stone used for edging or retaining features, adding visual weight and definition.
Bamboo & Rattan: Sustainable and tactile materials used in furnishings, shade structures, and visual accents.
Woven Fabric & Outdoor Textiles: Earthy tones and textures for soft furnishings that withstand humidity and sun exposure.
🔹 Tropical Plant Palette:
To support the sensory richness of the landscape, we paired the materials with low-maintenance yet expressive tropical plants:
Monstera deliciosa – for bold, architectural foliage.
Croton – vibrant leaves that bring contrast and color to shaded areas.
Peace Lily (Spathiphyllum) – a shade-loving understory plant that complements stone elements.
These plants are not just decorative — they anchor the mood and scale of the space while thriving in the regional microclimate.
Why Moodboards Matter in Landscape Design:
Moodboards offer a tactile bridge between concept and construction. They help clients, consultants, and contractors align visually and emotionally with the project vision. Every texture, surface, and plant here was chosen not only for its beauty — but for its role in crafting outdoor experiences that feel natural, timeless, and culturally rooted.
#LandscapeArchitecture#TropicalDesign#MaterialMoodboard#SustainableDesign#UrbanGreening#OutdoorLiving#DesignWithNature#Hardscape#PlantSelection#Architecture#UAE#AliBahjatTuffaha
This park prevented downtown flooding
Transforming into a temporary detention basin
Saving homes and businesses
Even relatively compact landscapes can deliver extraordinary environmental performance—Martin Luther King, Jr. Square in Conway, Arkansas, is a powerful example.
Spanning just 1.7 acres, the square is engineered to retain up to 1.5 million gallons of stormwater, offering critical flood mitigation in a city increasingly impacted by flash floods.
Located north of Little Rock, Conway has seen a rise in severe weather events, with runoff from Tucker Creek and the Arkansas River frequently overwhelming neighborhoods in the floodplain.
With population growth driven by the tech sector and higher education—earning Conway the nickname “City of Colleges”—the city’s infrastructure is under greater pressure during major storms.
Last weekend, MLK Jr. Square played a pivotal role in preventing downtown flooding. Its primary lawn transformed into a temporary detention basin, capturing excess water that might have otherwise inundated homes and businesses.
The performance of the park was widely recognized by city officials and local media, underscoring the value of smart, climate-resilient landscape design.
Designed by SWA#StormwaterManagement#GreenInfrastructure#LandscapeArchitecture#FloodResilience#UrbanDesign#ClimateAdaptation#ConwayAR#SustainableDesign#ResilientCities
AI visualization gets real tool for architecture
Recently I shared a professionally produced time-lapse of a multi-family building going up. This time, I’m revisiting the idea from a different angle: architect Obid Khikmatullayev sketched the construction stages of a planned building called “Eastern Pearl” in Tashkent — then used AI to turn those sketches into a clean, staged build sequence.
In a sea of unrealistic AI videos, this one stands out. It feels authentic, it’s satisfying to watch, and most importantly: it actually served its purpose as a design-communication tool.
Key takeaways engineers will appreciate:
• AI shines when grounded in real geometry and staged logic — not fantasy.
• Rapid visualization compresses hours or days of workflow into minutes.
• Lower cost means more iteration, better early-phase coordination.
• Clear phasing helps everyone: architects, contractors, clients.
I couldn’t find more verified information about the “Eastern Pearl” project, so if you know more, please share — collective knowledge matters in our field.
This is the kind of AI use that elevates engineering communication. What examples have you seen where AI actually improved project clarity?
🎥 by obidjon_xikmatullayev
[Paper accepted in Landslides Journal] How do we map a complex cluster of landslides in less than 5 minutes with scale and accuracy?
Last year, we were trying to find a user-friendly tool for rapid and precise mapping of landslide extent, but nothing exactly fit our needs as they were overestimating the extent. Traditionally, we rely on labor-intensive field studies and manual mapping using high-resolution imagery, which are costly and time-consuming. Existing machine learning-based automated mapping methods suffer from low availability of training data and the inability to handle out-of-distribution scenarios. So, we developed a semi-automated tool called ML-CASCADE that is trained on Sentinel-2 data, terrain data, vegetation indices, and bare soil index.
The open-source tool is super user-friendly and disaster management agencies can map a complex cluster of landslides within 5 minutes and a simple landslide within 2 minutes. We will release the tool next week after the paper comes out in the Journal website. Using this tool, we have also developed an inventory of 20,000+ landslides in India, which we will release in a follow-up paper.