A sneak peak of a complex and technically challenging... experiment that my lab developed: Super proud of PhD candidate Hannah Johnson for showcasing our Whole-gut spatial genomic analysis in #zebrafish. This video illustrates one landmark in the protocol after multiple rounds of sequential #HCR and 3D imaging in zebrafish larvae to reveal spatial expression of numerous mRNAs in the same specimen. Data from these imaging data sets are then computationally analyzed for spatial cell groups, spatially variable genes, and differentially expressed genes along 3D. We are leveraging this systems-level SGA to uncover unappreciated mechanistic insight at the cell and tissue levels into #ENS construction. Stay tuned for our work that exploits this pipeline within various mutant and perturbation conditions. Reach out if you are interested in trying this! #fruitypebblesshow more

A 3D map of mRNA transcripts in a zebrafish... embryo. This video was not made using a microscope. Researchers tag nucleotides with barcodes, which then "link" together in the tissue. Sequencing those links can then be used to computationally infer the 3D positions of genes.show more

This tech maps the physical world in 3d and... snaps it perfectly to my camera feed at 60 fps. Visual Positioning Systems (VPS) are the under hyped backbone of spatial computing. This is how we connect the world of bits & atoms.show more

Over the Reality just hit another major milestone in... the AI era. We have now surpassed 200,000 mappings in our dataset. 🎉 These are not just images. They are high-quality 3D maps generated from the mapping activity of our global community, which has produced more than 94M images of real-world locations so far. The dataset also includes 900TB+ of spatial data that can power Visual AI models, Robotics VPS for real-world navigation and positioning, XR VPS for precise spatial anchoring and AR experiences, Spatial Computing applications, Digital Twins, and the next generation of real-world AI infrastructure. In just the past 2 weeks, our dataset grew by +17,955 mapped locations. That is nearly +10% growth in just 14 days. More maps. More data. More demand for $OVR.show more

We’re excited to announce that #VisiumHD is now available... for pre-orders, offering: ✅ Whole transcriptome spatial analysis at single cell scale ✅ Continuous tissue coverage (really, no gaps!) ✅ Best-in-class data Enter the HD era to see for yourself:show more

Our analysis of Israel’s so-called ‘humanitarian bubbles’ indicates that... this new system of aid distribution is simply an extension of the existing architecture of spatial control. The routes established for civilian access to these aid distribution centres (in blue) are continuous with Israeli military raid routes (in red), forming a militarised network designed to facilitate forced displacement and population control.show more

Why not show real data instead of a 2D... cartoon? Left diagonal: computationally separated 3D volume-rendered movies at 15 sec intervals for 19 minutes of chromosomes, mitochondria, and the ER in the same field of dividing pig kidney cells. Middle diagonal: overlapped color channels computationally sliced in slabs through the volume to reveal internal structure and interactions throughout mitosis. Upper right: zoomed in view in one slab, showing organelle rearrangements in the left cell from metaphase through telophase.show more

Wonderland: Navigating 3D Scenes from a Single Image Contributions:... • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.show more

Our latest preprint! Some beautiful cell biology in this... one. "Presynapses are mitophagy pit stops that prevent axon degeneration" Discoveries into the cell biology of of mitophagy in axons, a disease mechanism, and a potential therapeutic avenue. 1/2show more

If you buy beef from us, you deserve to... know what you are supporting. This is the foundation of our herd, and the kind of selection that leads to cattle that perform well year after year and produce beef with consistency. Our bulls are built for rough terrain and hot weather, and they are expected to hold up when conditions are not easy, because that is real ranching and that is what our country asks of them. Great beef starts right here, and we are proud of how we raise it. 🛒Easy shopping at 🇺🇸 Delivery anywhere in the USAshow more

True, even a two DOF system can exhibit chaotic... behavior, and a single cell is an at least an ~10^7 DOF system (i.e., protein molecules per cell). I still fail to properly convey to others the insane complexity I see in our microscopes, and why successes like AlphaFold only work because of the huge number of unnatural constraints placed on the training data. Case in point (below): lysosome dynamics over 12 min across a 200 x 70 um region in the head of a developing zebrafish embryo, color-coded by depth -- just one of 20k proteins at work. Our Cell Observatory Initiative is more important than ever, but while we have petabytes of the most mind-blowing data ever, we are still hamstrung by insufficient AI talent and compute -- two resources in great demand everywhere. If anyone can help us over this hurdle, we'd be eternally grateful.show more

Did a quick and dirty implementation of a spatial... hash structure to speedup RTAO, ray results are stored in cells indexed by pos/normal/cell size and after storing a few rays occlusion can be queried from the cell instead of raytracing it. 3x faster RTAO with no denoising.show more

just recreated this superrrr spatial 3D hero section in... Framer, without any code. comment "SUPER" and i'll send you the remix link.show more

What a year it has been! This holiday season... we are so thankful for the love and joy each of you has brought into our lives this year. 2025 was truly a year of giving back to you for all you have given us over the years. Our hearts are full and we are ready to see you Dec 26 in Vegas and in Germany in 2026!show more

Since long time we tried to achieve “permanent” labelling... of plasma membranes. Now it become possible with MemGraft probes, which exploit a new principle of lipid-directed covalent fluorescent labeling of membrane proteins. The MemGraft probes are compatible with fixation, permeabilization, trypsinization, presence of serum in the medium and enable long-term cell imaging, co-culture of cells and their imaging in multiple colors, cell barcoding and cell manipulation. Congrats and thanks to co-authors: Nathan Aknine Nathan Aknine & Remi Pelletier. - CNRS 🌍 CNRS 🌍_Alsace LBP UMR 7021 Just out in biorXiv:show more

🎉 England’s ban on glue traps comes into force... today! 🎉 We are thrilled that, from today, it is illegal for members of the public to use glue traps to catch mice and rats in England. Our campaign to end the use of these cruel traps has played a monumental role in this success and we are incredibly proud that after years of tireless campaigning, we are now seeing this ban come into law! 🐁🐀💚 (1/3)show more

Biomni Lab lets biologists collaborate with AI agents to... finish complex tasks end-to-end. Here are 15 popular use cases, each link is a full replay so you can watch the agent work through every step: 1. Spatial transcriptomics analysis: map gene expression across tissue architecture from spatial transcriptomics data, with spatial clustering and neighborhood analysis. 2. Binder design: design de novo protein binders against a target structure using computational protein design tools. 3. Biomarker panel design: identify and optimize a multi-marker diagnostic or prognostic panel from omics data. 4. Clinical trial landscaping: search and summarize the trial landscape for a disease area, mapping phase, endpoints, and sponsor activity. 5. Survival analysis: pull clinical and expression data, fit Cox models, generate Kaplan-Meier curves, and identify prognostic markers. 6. scRNA-seq processing and annotation: from raw counts to UMAP clustering, marker gene detection, and automated cell type labeling. 7. Cell-cell communication: infer ligand-receptor interactions between cell types from single-cell data and map intercellular signaling networks. 8. Primer design for novel Cas13: analyze a putative Cas13 protein from a metagenomic screen—verify the ORF, identify HEPN domains, and design cloning primers with restriction sites and a FLAG 9. Proteomics differential expression: normalize mass spec data, run statistical tests, and visualize differentially abundant proteins. 10. Gene regulatory network inference: reconstruct transcription factor-target gene networks from expression data and identify key regulators. 11. Gene co-expression network analysis: build weighted co-expression networks, identify gene modules, and correlate them with phenotypic traits. 12. Microbiome analysis: process 16S/metagenomic sequencing data to profile microbial communities, diversity, and differential abundance. 13. Polygenic risk scores: compute and evaluate PRS from GWAS summary statistics against a target cohort. 14. Variant annotation: annotate genetic variants with functional predictions, allele frequencies, and clinical significance. 15. Fine-mapping: narrow GWAS loci to credible causal variants using statistical fine-mapping methods. Each of these would normally take days to weeks of scripting, debugging, and iteration. In Biomni Lab, the agent handles the full execution while you steer the science. Learn more:show more

For this #FluorescenceFriday we bring a trhowback to one... of our iconic serial killer T cells in honor of all the great work performed on understanding and enhancing T cell #immunotherapy using #LiveCellImaging for #CancerResearchshow more

The U.S. Special Presidential Envoy for Ukraine, General Keith... Kellogg Keith Kellogg, is in Kyiv today. I am grateful for a constructive meeting. We discussed various vectors of cooperation – how to achieve real peace and guarantee Ukraine’s security. These include projects within the PURL initiative for financing production and procurement of Patriot systems, strong bilateral agreements on co-production of drones and weapons that we have proposed to America. We count on a positive response from the United States. We had a substantive discussion on stepping up pressure on the Russians and what we can do together with partners in tariff and sanctions policy to enable a meeting at the leaders’ level at the earliest and bring this war to an end. A trilateral leaders’ format is undoubtedly the most effective. We also discussed the return of abducted Ukrainian children, international cooperation on this track, and the conditions in which our children are being held. I expressed condolences to the American people over the horrific murder of Charlie Kirk and thanked President Trump for his condolences and response to the brutal murder of Ukrainian citizen Iryna Zarutska in North Carolina. It is important that justice prevail every time violence seeks to take hold. We are also preparing for the 80th session of the UN General Assembly in New York. We discussed planned events, coordination between Ukraine and the U.S., and work within the Coalition of the Willing. We are working on potential meetings and various formats.show more

Here’s a sneak peek! In celebration of our fandom's... 1st anniversary, we have gathered in the beautiful Beverly Hills, Cebu. Despite the numerous challenges and chaos we've encountered along the way, what truly matters is that we have remained steadfast in our support for Kaisha and Rainah. Our dedication to them has kept us united, and we are excited to commemorate this special milestone together. It's all about Kai and Rain 💜 #KaiRainshow more