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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 görüntüleme • 5 ay önce •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

50,550 görüntüleme • 5 ay önce

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

52,988 görüntüleme • 3 yıl önce

🚀 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 görüntüleme • 1 yıl önce

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 görüntüleme • 8 ay önce

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 görüntüleme • 2 yıl önce

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 görüntüleme • 1 yıl önce

🔥😀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 görüntüleme • 1 yıl önce

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 görüntüleme • 1 yıl önce

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 görüntüleme • 1 yıl önce

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 görüntüleme • 3 ay önce

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 görüntüleme • 1 ay önce

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 görüntüleme • 1 yıl önce

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

53,299 görüntüleme • 1 yıl önce

I vibe coded an iOS app this week. I called it Pulse. LMK if you'd like to try it!
0:23

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

Akshay Kothari

62,560 görüntüleme • 3 ay önce

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 görüntüleme • 2 yıl önce

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 görüntüleme • 4 ay önce

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 görüntüleme • 10 ay önce

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

27,720 görüntüleme • 2 ay önce

Apple and Meta are still missing the point when it comes to spatial productivity. Going monitor-free or showing the weather in 3d space isn't enough. There's not enough value in replacing a frictionless setup like a laptop and mouse unless the spatial environment unlocks something radically more powerful: a creative work space so fluid and enabling that you wouldn't want to work any other way. I created this "Spatial AI Workbench" mockup a while ago to explore that exact idea.
1:49

Apple and Meta are still missing the point when it comes to spatial productivity. Going monitor-free or showing the weather in 3d space isn't enough. There's not enough value in replacing a frictionless setup like a laptop and mouse unless the spatial environment unlocks something radically more powerful: a creative work space so fluid and enabling that you wouldn't want to work any other way. I created this "Spatial AI Workbench" mockup a while ago to explore that exact idea.

Greg Madisᯅn

75,882 görüntüleme • 1 yıl önce