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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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17,642 просмотров • 5 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

50,558 просмотров • 5 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

52,996 просмотров • 3 лет 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

58,991 просмотров • 1 год назад

I vibe coded an app (for free) using caffeine that helps you avoid parking tickets in San Francisco. Instead of relying only on recent parking data, it also stores historical parking data and uses that to generate heat maps on a 3D map 🤯 Inspired by: Riley Walz
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I vibe coded an app (for free) using caffeine that helps you avoid parking tickets in San Francisco. Instead of relying only on recent parking data, it also stores historical parking data and uses that to generate heat maps on a 3D map 🤯 Inspired by: Riley Walz

AmSpeed⚡️

17,929 просмотров • 8 месяцев 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

22,840 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.
1:35

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

53,422 просмотров • 1 год 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

16,259 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

34,250 просмотров • 1 год 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 • 3 месяцев назад

inspired by @levelsio, i vibe coded a GTA 6 game in cursor and got it running on a ti-84 plus
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inspired by @levelsio, i vibe coded a GTA 6 game in cursor and got it running on a ti-84 plus

edwin

55,494 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:
0:58

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

13,151 просмотров • 1 месяц назад

I wanted to test the limits of Vibe coding a Laravel app this weekend. It was pretty successful. I built a ProductHunt clone for other vibe-coded projects. Check out the link below 👇, along with a few tips I've learned.
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I wanted to test the limits of Vibe coding a Laravel app this weekend. It was pretty successful. I built a ProductHunt clone for other vibe-coded projects. Check out the link below 👇, along with a few tips I've learned.

Tony Lea

10,740 просмотров • 1 год 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

53,307 просмотров • 1 год 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

62,560 просмотров • 3 месяцев назад

this is a must have app on the Apple Vision Pro Spatial Media Toolkit turns your normal photos and videos into spatial photos and videos. It’s hypnotic
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this is a must have app on the Apple Vision Pro Spatial Media Toolkit turns your normal photos and videos into spatial photos and videos. It’s hypnotic

Justin Ryan ᯅ

49,137 просмотров • 2 лет 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 • 4 месяцев назад

Here’s a demo of our Agentic Memory system, inspired by how our own brain holds information in a 3D spatial space. This feels, natural. Extending this further, we announced the Agentic Memory Protocol on July 15th in SF - which enables memory to be local, encrypted and available to other agents and apps based on your permission-only. We believe this is the future of memory - not owned by any one app, spatial, and always improving. Aaron Levie Andrej Karpathy
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Here’s a demo of our Agentic Memory system, inspired by how our own brain holds information in a 3D spatial space. This feels, natural. Extending this further, we announced the Agentic Memory Protocol on July 15th in SF - which enables memory to be local, encrypted and available to other agents and apps based on your permission-only. We believe this is the future of memory - not owned by any one app, spatial, and always improving. Aaron Levie Andrej Karpathy

Varun

187,489 просмотров • 11 месяцев назад

For those attending AACR26 in San Diego, I will demonstrate how CODA can map whole tumors, organs, and organisms in 3D and at single-cell resolution. I will also show how CODA can integrate spatial transcriptomics, spatial proteomics, IHC, IMC, etc. April 17, 3:30 pm
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For those attending AACR26 in San Diego, I will demonstrate how CODA can map whole tumors, organs, and organisms in 3D and at single-cell resolution. I will also show how CODA can integrate spatial transcriptomics, spatial proteomics, IHC, IMC, etc. April 17, 3:30 pm

Denis Wirtz

27,724 просмотров • 2 месяцев назад

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre
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GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

39,517 просмотров • 20 дней назад