Virtual Staining

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1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Seamless Whole Slide Label-Free Virtual Staining
Sep 11, 2026Dou Hoon Kwark, Kianoush Falahkheirkhah, Ji-hun Oh +3Computational Pathology Virtual Staining
University of Illinois Urbana-Champaign, Urbana, IL, USA · National Center for Supercomputing Applications, Urbana, IL, USA
Semi-Supervised Virtual Staining via Morphology Preservation and Histopathological Realism Constraints
Sep 1, 2026Baoshun Wang, Weiping Lin, Linwu Wang +3Computational Pathology Image-to-Image Translation
Department of Computer Science, School of Informatics, Xiamen University, Xiamen 361005, China · EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Ales, France · Service de M´edecine Nucl´eaire, Centre Hospitalier Universitaire de Nˆımes, Universit´e de Montpellier, Nˆımes, France
Towards Reliable Stain Transfer: An Iterative Data-Model Co-Optimization Framework Based on Multimodal Expert-Guided Assessment
Jul 28, 2026Siyuan Xu, Yan Wang, Haofei Song +7Computational Pathology Image Style Transfer
East China Normal University Shanghai, China · Ruijin Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, China · Hangzhou Hyperspectral Imaging Technology Co., Ltd. Hangzhou, China +1
ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-Domain Virtual IHC Staining
Jul 4, 2026Fuqiang Chen, Yifeng Wang, Hongpeng Wang +1Computational Pathology Virtual Staining
School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China · School of Computer Science and Technology, Tsinghua University, Beijing, China
SheafStain: Sheaf-Theoretic Schrödinger Bridge for Spatially and Biologically Coherent Virtual Staining
Jun 10, 2026Hyeongyeol Lim, Hongjun Yoon, Eunjin Jang +3Computational Pathology Vision Foundation Models
Department of Medical Informatics, College of Medicine, Korea University · DEEPNOID Inc.
Deep Learning for Generating Computational PIN-4 Immunohistochemistry Staining from Prostate Biopsy H&E Images
Jun 1, 2026Vietbao Tran, Pratik ShahComputational Pathology Conditional Image Generation
Biomedical Engineering University of California, Irvine Irvine, CA, USA · Pathology and Laboratory Medicine Biomedical Engineering Electrical Engineering and Computer Science University of California, Irvine Irvine, CA, USA
Virtual 3D H&E Staining from Phase-contrast Back-illumination Interference Tomography
May 21, 2026Anthony Song, Boyan Zhou, Mayank Golhar +3Computational Pathology Image-to-Image Translation
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA · Department of Pathology, Johns Hopkins Hospital,2026 Baltimore, MD, USA
HAPS: Rethinking Image Similarity for Virtual Staining
May 19, 2026Fedor Gubanov, Svetlana Illarionova, Vlad Kozlovskiy +6Computational Pathology Medical Image Analysis
1*Skolkovo Institute of Science and Technology, Moscow, 121205, Russia. · 2BIMAI-Lab, Biomedically Informed Artificial Intelligence Laboratory,2026 University of Sharjah, Sharjah, United Arab Emirates. · 3National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Moscow, Russia.
Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
May 14, 2026Aarushi Kulkarni, Alarice Lowe, Pratik ShahComputational Pathology Domain Generalization
Department of Computer Science University of California Irvine, CA, USA · Department of Pathology Stanford University Stanford, CA, USA · Department of Pathology and Laboratory Medicine Biomedical Engineering Electrical Engineering and Computer Science University of California Irvine, CA, USA
Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining
May 12, 2026Yucheng Xing, Pei Liu, Jingying Ma +6Computational Pathology Cross-Modal Representation Learning
National University of Singapore, Singapore · Hunan University, China · Peking Union Medical College Hospital (PUMCH), China +1

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Seamless Whole Slide Label-Free Virtual Staining

Dou Hoon Kwark, Kianoush Falahkheirkhah, Ji-hun Oh, Shirui Luo+2

University of Illinois Urbana-Champaign, Urbana, IL, USA · National Center for Supercomputing Applications, Urbana, IL, USA

Computational Pathology Virtual Staining Whole-Slide Image Analysis

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Label-free virtual staining offers a compelling, non-destructive alternative to standard histopathology; however, its clinical adoption is hindered by the computational bottlenecks inherent to processing gigapixel Whole Slide Images (WSIs). Current deep learning approaches require patch-based inference to avoid memory constraints, which disrupts global tissue continuity and introduces tiling artifacts--displaying visible seams and color shifts. To address this, we introduce the Consistency Memory Bank (COMB), a novel label-free virtual staining framework that enforces spatial and channel consistency across tiles without memory bottlenecks. COMB decouples context storage from computation, utilizing a dynamic retrieval mechanism to fetch feature representations from adjacent tiles. This enables a retrieval-based context integration strategy that adopts local padding to resolve spatial discontinuities and neighbor-aware channel attention to stabilize statistical drift. Further optimized with a sliding window schedule to ensure minimal memory overhead, our method demonstrates superior performance over state-of-the-art baselines, achieving significant improvements in both perceptual fidelity and tiling consistency, while suggesting its downstream utility in tumor segmentation. Code is available at https://github.com/dou0000/COMB.

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