mlsanityData to 7 Oct 2026

Tera-MIND: Tera-scale mouse brain simulation via spatial mRNA-guided diffusion

arXiv 2503.01220 ↗First posted 3 Mar 2025cs.CV cs.AIcited by 0

On the map: Diffusion models → Medical imaging and segmentation

Abstract (arXiv)

Holistic 3D modeling of molecularly defined brain structures is crucial for understanding complex brain functions. Using emerging tissue profiling technologies, researchers charted comprehensive atlases of mammalian brain with sub-cellular resolution and spatially resolved transcriptomic data. However, these tera-scale volumetric atlases pose computational challenges for modeling intricate brain structures within the native spatial context. We propose Tera-MIND, a novel generative framework capable of simulating Tera-scale Mouse braINs in 3D using a patch-based and boundary-aware Diffusion model. Taking spatial gene expression as conditional input, we generate virtual mouse brains with comprehensive cellular morphological detail at teravoxel scale. Through the lens of 3D textitgene-textitgene self-attention, we identify spatial molecular interactions for key transcriptomic pathways, including glutamatergic and dopaminergic neuronal systems. Lastly, we showcase the translational applicability of Tera-MIND on previously unseen human brain samples. Tera-MIND offers an efficient generative modeling of whole virtual organisms, paving the way for integrative applications in biomedical research. Project website: https://musikisomorphie.github.io/Tera-MIND.html

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 16 of its 55 references that are in the map. First posted on arXiv 3 Mar 2025.

Builds on

16 of 55 references.

References · 16

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2022Scalable Diffusion Models with Transformerscited by 5,931
  5. 2023FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioningcited by 2,551
  6. 2024Open-Sora: Democratizing Efficient Video Production for Allcited by 637
  7. 2024Movie Gen: A Cast of Media Foundation Modelscited by 614
  8. 2023Scaling up GANs for Text-to-Image Synthesiscited by 492
  9. 2021Generating Images with Sparse Representationscited by 262
  10. 2022A Survey on Generative Diffusion Modelcited by 238
  11. 2020Positional Encoding as Spatial Inductive Bias in GANscited by 69
  12. 2019COCO-GAN: Generation by Parts via Conditional Coordinatingcited by 67
4 more
  1. 2021InfinityGAN: Towards Infinite-Pixel Image Synthesiscited by 61
  2. 2022SinFusion: Training Diffusion Models on a Single Image or Videocited by 58
  3. 2023Patched Denoising Diffusion Models For High-Resolution Image Synthesiscited by 45
  4. 2024The Dawn of Video Generation: Preliminary Explorations with SORA-like Modelscited by 30

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  1. 2025A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
  2. 2025Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
  3. 2025Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
  4. 20264DLoG: Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model
  5. 2024Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics
  6. 2026Program-space Diffusion for Morphology-to-Transcriptomics Prediction
  7. 2023Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain
  8. 2025SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes