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Inspired by some gesture-based point cloud controllers I've seen on here, I vibe coded a similar web app to explore the relationship between spatial, UMAP, and PCA embeddings for spatial transcriptomics data. Next level interactivity via🖐️ Try it out:

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Dr. Jean Fan

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17,664 просмотров • 9 месяцев назад •via X (Twitter)

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Thanks to the authors for sharing all components of this mouse embryo spatial transcriptomics data from cell gene counts to per-molecule coordinates: 🥳 So I vibe coded an app to explore the 3D subcellular transcript organization:
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Thanks to the authors for sharing all components of this mouse embryo spatial transcriptomics data from cell gene counts to per-molecule coordinates: 🥳 So I vibe coded an app to explore the 3D subcellular transcript organization:

Dr. Jean Fan

50,652 просмотров • 9 месяцев назад

Thick-tissue spatial transcriptomics w/ 3DEEP-HybISS in skin enabled pseudotemporal molecular mapping of hair follicle organogenesis via asynchrony of follicle development: Explore the data for urself: Congrats to Reza Kalhor +team
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Thick-tissue spatial transcriptomics w/ 3DEEP-HybISS in skin enabled pseudotemporal molecular mapping of hair follicle organogenesis via asynchrony of follicle development: Explore the data for urself: Congrats to Reza Kalhor +team

Dr. Jean Fan

12,744 просмотров • 3 месяцев назад

here comes WebAtlas: our "Google Maps" for tissue atlases with integrated single cell and spatial transcriptomics so anyone & anywhere can access/explore atlas datasets on a web browser. Fantastic collab with Muzlifah Haniffa, led by Tong LI 李彤 Dave Horsfall & Daniela. Links 👇
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here comes WebAtlas: our "Google Maps" for tissue atlases with integrated single cell and spatial transcriptomics so anyone & anywhere can access/explore atlas datasets on a web browser. Fantastic collab with Muzlifah Haniffa, led by Tong LI 李彤 Dave Horsfall & Daniela. Links 👇

Omer Ali Bayraktar

53,044 просмотров • 3 лет назад

🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre
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🚀 GeoLibre just passed 5,000 stars on GitHub, in only two months! GeoLibre went public on May 27, and the community has already pushed it past 5,100 stars and 500+ forks. Thank you to everyone who starred, forked, filed issues, opened pull requests, and shared the project. For those just discovering it: GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. Key features of GeoLibre: - Runs anywhere: the same app ships as a native desktop app, a browser web app, a native Android app, and a Jupyter widget. - Local and private by default: load and analyze GeoJSON, GeoParquet, GeoPackage, Shapefile, COG, LiDAR, 3D Tiles, and more, right in the browser. - Powered by open source: built on MapLibre GL JS, DuckDB-WASM Spatial, Tauri, React, and TypeScript. - Spatial SQL in the browser: query your data with DuckDB Spatial, PostGIS via PGlite, and Apache Sedona. - Extensible: a growing plugin system for cloud data, federal web services, and custom tools. - Supports 12 planetary basemaps: Earth, Mars, the Moon, Mercury, Venus, and more. Two months in, we have already shipped 25 releases, the latest being v2.4.0. There is a lot more to come, and the best way to shape it is to jump in. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: If GeoLibre is useful to you, a star on GitHub and a share here go a long way. Thank you for an incredible first two months. #geospatial #opensource #MapLibre #GeoLibre

Qiusheng Wu

94,924 просмотров • 2 месяцев назад

🚀 Introducing scGPT-spatial! 🧬🌍 A game-changing spatial-omic foundation model, built on the powerful scGPT framework with MoE (mixture of experts) and continually pretrained on a massive 30 million spatial single-cell profiles! 🧠 What’s the challenge? Spatial transcriptomics is next-level complex—not only must we model single-cell/spot profiles, but we also need to capture intricate spatial relationships while handling diverse sequencing protocols (imaging-based vs. sequencing-based). 🔥 Why scGPT-spatial? ✨ A Spatial-omic Foundation Model with Continual Pretraining – Built on scGPT’s robust initialization, it unlocks spatial context in tissues. ✨ SpatialHuman30M Dataset – The largest curated dataset: 30M profiles from Visium, Visium HD, Xenium, and MERFISH across 821 slides. ✨ Revolutionary MoE Decoders – A cutting-edge Mixture of Experts (MoE) architecture for protocol-aware gene expression decoding. ✨ Spatially-Aware Training Strategy – A neighborhood-based masked reconstruction approach to capture complex cell-type colocalization. ✨ Multi-Modal & Multi-Slide Integration – Seamless clustering & spatial domain identification across slides and modalities. ✨ Cell-Type Deconvolution & Gene Imputation – Unlocks cross-resolution & cross-modality harmonization with fine-tuned embeddings. 📄 Read the preprint: 💻 Explore the code/weights: #SpatialTranscriptomics #SingleCell #AIResearch #MachineLearning #SpatialData Huge shoutout to the incredible PHD students Chloe (ChloeXWang) and Haotian (Haotian Cui) for leading this groundbreaking project! 🎉 Massive thanks to our amazing co-authors Andrew, Ronald, and Hani (Hani Goodarzi) from Arc Institute—this work wouldn't have been possible without you! 👏
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🚀 Introducing scGPT-spatial! 🧬🌍 A game-changing spatial-omic foundation model, built on the powerful scGPT framework with MoE (mixture of experts) and continually pretrained on a massive 30 million spatial single-cell profiles! 🧠 What’s the challenge? Spatial transcriptomics is next-level complex—not only must we model single-cell/spot profiles, but we also need to capture intricate spatial relationships while handling diverse sequencing protocols (imaging-based vs. sequencing-based). 🔥 Why scGPT-spatial? ✨ A Spatial-omic Foundation Model with Continual Pretraining – Built on scGPT’s robust initialization, it unlocks spatial context in tissues. ✨ SpatialHuman30M Dataset – The largest curated dataset: 30M profiles from Visium, Visium HD, Xenium, and MERFISH across 821 slides. ✨ Revolutionary MoE Decoders – A cutting-edge Mixture of Experts (MoE) architecture for protocol-aware gene expression decoding. ✨ Spatially-Aware Training Strategy – A neighborhood-based masked reconstruction approach to capture complex cell-type colocalization. ✨ Multi-Modal & Multi-Slide Integration – Seamless clustering & spatial domain identification across slides and modalities. ✨ Cell-Type Deconvolution & Gene Imputation – Unlocks cross-resolution & cross-modality harmonization with fine-tuned embeddings. 📄 Read the preprint: 💻 Explore the code/weights: #SpatialTranscriptomics #SingleCell #AIResearch #MachineLearning #SpatialData Huge shoutout to the incredible PHD students Chloe (ChloeXWang) and Haotian (Haotian Cui) for leading this groundbreaking project! 🎉 Massive thanks to our amazing co-authors Andrew, Ronald, and Hani (Hani Goodarzi) from Arc Institute—this work wouldn't have been possible without you! 👏

Bo Wang

59,110 просмотров • 1 год назад

If you got a Quest 3 at launch, give browser-based MR a try with Spatial Fusion - the WebXR experience that I worked on with PHORIA & Lusion™ for Meta! For web devs; mixed-reality on the web has really crossed a threshold in the last year!
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If you got a Quest 3 at launch, give browser-based MR a try with Spatial Fusion - the WebXR experience that I worked on with PHORIA & Lusion™ for Meta! For web devs; mixed-reality on the web has really crossed a threshold in the last year!

Ben Ferns

22,847 просмотров • 3 лет назад

🔥😀Super-super excited to report the publication of "Single-cell multi-omic and spatial profiling of human kidneys implicates the fibrotic microenvironment in kidney disease progression" in Nature Genetics by Amin Abedini and Jon Levinsohn #kidney #diabetes #spatial transcriptomics
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🔥😀Super-super excited to report the publication of "Single-cell multi-omic and spatial profiling of human kidneys implicates the fibrotic microenvironment in kidney disease progression" in Nature Genetics by Amin Abedini and Jon Levinsohn #kidney #diabetes #spatial transcriptomics

Katalin Susztak

16,299 просмотров • 2 лет назад

Spatial photos and videos on Apple Vision Pro are like nothing you’ve ever seen before. Check out these tips for capturing spatial photos and spatial videos with iPhone 16 Pro, iPhone 16, and iPhone 15 Pro.
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Spatial photos and videos on Apple Vision Pro are like nothing you’ve ever seen before. Check out these tips for capturing spatial photos and spatial videos with iPhone 16 Pro, iPhone 16, and iPhone 15 Pro.

Apple Support

53,469 просмотров • 1 год назад

visionOS 26 quietly introduced a glimpse into the future of how we’ll browse the web: a spatial Reader. Safari can now automatically transform a website’s content into a spatial experience using Spatial Scenes — allowing you to literally look into the rooms of the apartment you’re about to book for your next holiday. It does this by beautifully blending the content with your surroundings and softly tinting your room with the website’s color palette. It's just not possible to capture. I also love that Apple Intelligence lives in a floating window beside the content, ready to summarize the page for you. I can’t wait to see how this evolves into what we’ll one day call the Spatial Web.
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visionOS 26 quietly introduced a glimpse into the future of how we’ll browse the web: a spatial Reader. Safari can now automatically transform a website’s content into a spatial experience using Spatial Scenes — allowing you to literally look into the rooms of the apartment you’re about to book for your next holiday. It does this by beautifully blending the content with your surroundings and softly tinting your room with the website’s color palette. It's just not possible to capture. I also love that Apple Intelligence lives in a floating window beside the content, ready to summarize the page for you. I can’t wait to see how this evolves into what we’ll one day call the Spatial Web.

Phil Traut ᯅ

34,355 просмотров • 1 год назад

PantheonOS allows any biologist to perform complex data analyses of emerging single cell, multi-omics and spatial transcriptomics datasets end to end through AI agent and human collaboration. We are releasing six replays of use cases trajectories. Each "trajectory" is a complete end-to-end run, from prompt to analysis, to figures, and finally to report, and in fully inspectable and reproducible manner. See the six user cases in our PantheonOS Gallery: 1. 3D mouse embryo analysis: Tangram deconvolution and PyVista-based 3D visualization of E6 mouse embryo spatial transcriptomics data 2. 3D human fetal heart analysis: Spatial mapping of heart disease gene patterns using MERFISH data 3. Multi-omics spatial integration: Single cell multi-omics-to-spatial mapping with MOSCOT optimal transport 4. Gene panel design: 1000-plex immune-oncology MERFISH gene panel optimization 5. Cell segmentation benchmarking: Comparative evaluation of Cellpose-SAM, InstanSeg, StarDist, and other tools 6. Spatial disease biology: Ligand–receptor analysis of disease-associated tissue microenvironments We would love to hear how you can use PantheonOS for your research! Got an interesting agent run of your own and want to share? In the Pantheon UI, click Export Bundle (top-right of any chat) to package the full trajectory — chat history, code, figures, report — then submit it here:
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PantheonOS allows any biologist to perform complex data analyses of emerging single cell, multi-omics and spatial transcriptomics datasets end to end through AI agent and human collaboration. We are releasing six replays of use cases trajectories. Each "trajectory" is a complete end-to-end run, from prompt to analysis, to figures, and finally to report, and in fully inspectable and reproducible manner. See the six user cases in our PantheonOS Gallery: 1. 3D mouse embryo analysis: Tangram deconvolution and PyVista-based 3D visualization of E6 mouse embryo spatial transcriptomics data 2. 3D human fetal heart analysis: Spatial mapping of heart disease gene patterns using MERFISH data 3. Multi-omics spatial integration: Single cell multi-omics-to-spatial mapping with MOSCOT optimal transport 4. Gene panel design: 1000-plex immune-oncology MERFISH gene panel optimization 5. Cell segmentation benchmarking: Comparative evaluation of Cellpose-SAM, InstanSeg, StarDist, and other tools 6. Spatial disease biology: Ligand–receptor analysis of disease-associated tissue microenvironments We would love to hear how you can use PantheonOS for your research! Got an interesting agent run of your own and want to share? In the Pantheon UI, click Export Bundle (top-right of any chat) to package the full trajectory — chat history, code, figures, report — then submit it here:

evo-devo

13,466 просмотров • 5 месяцев назад

Here’s a first look at Adobe Premiere running natively on Apple Vision Pro. The visionOS app features a full spatial editing interface with floating panels, support for spatial clips, and depth controls for text. Available now on the App Store.
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Here’s a first look at Adobe Premiere running natively on Apple Vision Pro. The visionOS app features a full spatial editing interface with floating panels, support for spatial clips, and depth controls for text. Available now on the App Store.

Justin Ryan

22,492 просмотров • 3 месяцев назад

New research with Tsinghua University: Spatial-TTT. A framework for streaming visual-based spatial intelligence with test-time training (TTT). Spatial-TTT adapts fast weights to capture and organize spatial evidence from long video streams, enabling models to build structured 3D spatial memory over time. Highlights: 🔹Efficient streaming memory. Fast weights act as compact spatial memory with sublinear memory growth over 7000+ frames and more than 40% lower compute. 🔹Spatial-predictive mechanism. TTT layers with 3D spatiotemporal convolution capture geometric correspondence and temporal continuity. 🔹SOTA results on long-horizon video spatial understanding (VSI-Bench). The paper ranked #1 on Hugging Face Daily Papers on March 13. Project page: GitHub: Paper: Model & Data:
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New research with Tsinghua University: Spatial-TTT. A framework for streaming visual-based spatial intelligence with test-time training (TTT). Spatial-TTT adapts fast weights to capture and organize spatial evidence from long video streams, enabling models to build structured 3D spatial memory over time. Highlights: 🔹Efficient streaming memory. Fast weights act as compact spatial memory with sublinear memory growth over 7000+ frames and more than 40% lower compute. 🔹Spatial-predictive mechanism. TTT layers with 3D spatiotemporal convolution capture geometric correspondence and temporal continuity. 🔹SOTA results on long-horizon video spatial understanding (VSI-Bench). The paper ranked #1 on Hugging Face Daily Papers on March 13. Project page: GitHub: Paper: Model & Data:

Tencent Hy

20,792 просмотров • 7 месяцев назад

Today in nature, we report a spatial single-cell atlas of human cortical development, revealing surprisingly early specification of human cortical layers and areas. We built an interactive browser to explore the spatial data: Paper link below👇
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Today in nature, we report a spatial single-cell atlas of human cortical development, revealing surprisingly early specification of human cortical layers and areas. We built an interactive browser to explore the spatial data: Paper link below👇

Xuyu Qian

53,412 просмотров • 1 год назад

VERY COOL!! Thanks jordan for the tip, I can now test my iOS app on web I asked Claude Code to set up serve-sim, a web-based iOS simulator that can stream the iOS app my Claude Code on VPS built live to me, because it's on some Mac Mini in the cloud without even a GUI (it's headless) I cannot actually try it on the Mac itself! Before Claude would make me a page with screenshots but I had no idea how the app felt, now with this it works This is hosted on the Mac Mini via SSH (it shows localhost but it's a tunnel via SSH to the Mac Mini), bit laggy but nice!
0:26

VERY COOL!! Thanks jordan for the tip, I can now test my iOS app on web I asked Claude Code to set up serve-sim, a web-based iOS simulator that can stream the iOS app my Claude Code on VPS built live to me, because it's on some Mac Mini in the cloud without even a GUI (it's headless) I cannot actually try it on the Mac itself! Before Claude would make me a page with screenshots but I had no idea how the app felt, now with this it works This is hosted on the Mac Mini via SSH (it shows localhost but it's a tunnel via SSH to the Mac Mini), bit laggy but nice!

@levelsio

432,229 просмотров • 3 месяцев назад

Inspired by one of my favourite games → Final Fantasy Tactics I wanted to try to vibe code something similar → 3d isometric grid → 2d animated sprites → Turn based combat → Pathfinding → Basic AI → keyboard, mouse, touch friendly What should I do next?
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Inspired by one of my favourite games → Final Fantasy Tactics I wanted to try to vibe code something similar → 3d isometric grid → 2d animated sprites → Turn based combat → Pathfinding → Basic AI → keyboard, mouse, touch friendly What should I do next?

Chong-U

14,121 просмотров • 8 месяцев назад

I vibe coded an iOS app this week. I called it Pulse. LMK if you'd like to try it!
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I vibe coded an iOS app this week. I called it Pulse. LMK if you'd like to try it!

Akshay Kothari

62,659 просмотров • 7 месяцев назад