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This paper introduces a Virtual Immunohistochemistry Multiplex staining (VIMs) model designed to generate multiple immunohistochemistry (IHC) stains from a single hematoxylin and eosin (H&E) stained tissue section. IHC stains are crucial in…

Image and Video Processing · Electrical Eng. & Systems 2024-07-30 Shikha Dubey , Yosep Chong , Beatrice Knudsen , Shireen Y. Elhabian

The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagnostic decisions, guiding cancer treatment and investigation…

Histopathological evaluation of tissue samples is a key practice in patient diagnosis and drug development, especially in oncology. Historically, Hematoxylin and Eosin (H&E) has been used by pathologists as a gold standard staining.…

Computer Vision and Pattern Recognition · Computer Science 2018-10-16 Amal Lahiani , Jacob Gildenblat , Irina Klaman , Shadi Albarqouni , Nassir Navab , Eldad Klaiman

Hematoxylin and eosin (H&E) staining visualizes histology but lacks specificity for diagnostic markers. Immunohistochemistry (IHC) staining provides protein-targeted staining but is restricted by tissue availability and antibody…

Image and Video Processing · Electrical Eng. & Systems 2025-07-01 Anran Liu , Xiaofei Wang , Jing Cai , Chao Li

We present a new and versatile implementation of rapid and localized immunohistochemical staining of tissue sections. Immunohistochemistry (IHC) allows to detect specific proteins on tissue sections and comprises a sequence of specific…

Tissues and Organs · Quantitative Biology 2021-05-18 Robert D. Lovchik , David Taylor , Govind Kaigala

Histological staining is a vital step used to diagnose various diseases and has been used for more than a century to provide contrast to tissue sections, rendering the tissue constituents visible for microscopic analysis by medical experts.…

Image and Video Processing · Electrical Eng. & Systems 2020-05-08 Yijie Zhang , Kevin de Haan , Yair Rivenson , Jingxi Li , Apostolos Delis , Aydogan Ozcan

Immunohistochemical (IHC) staining enables precise molecular profiling of protein expression, with over 200 clinically available antibody-based tests in modern pathology. However, comprehensive IHC analysis is frequently limited by…

Computer Vision and Pattern Recognition · Computer Science 2026-02-27 Fuqiang Chen , Ranran Zhang , Wanming Hu , Deboch Eyob Abera , Yue Peng , Boyun Zheng , Yiwen Sun , Jing Cai , Wenjian Qin

Deep learning models can generate virtual immunohistochemistry (IHC) stains from hematoxylin and eosin (H&E) images, offering a scalable and low-cost alternative to laboratory IHC. However, reliable evaluation of image quality remains a…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Tushar Kataria , Shikha Dubey , Mary Bronner , Jolanta Jedrzkiewicz , Ben J. Brintz , Shireen Y. Elhabian , Beatrice S. Knudsen

Histological analysis of tissue samples is one of the most widely used methods for disease diagnosis. After taking a sample from a patient, it goes through a lengthy and laborious preparation, which stains the tissue to visualize different…

Computer Vision and Pattern Recognition · Computer Science 2019-03-05 Yair Rivenson , Hongda Wang , Zhensong Wei , Yibo Zhang , Harun Gunaydin , Aydogan Ozcan

Hematoxylin and eosin (H&E)-stained slides are central to cancer diagnosis and monitoring, visualizing tissue architecture and cellular morphology. However, H&E lacks the molecular specificity needed to distinguish cell states and…

Image and Video Processing · Electrical Eng. & Systems 2026-04-14 Tushar Kataria , Beatrice Knudsen , Shireen Y. Elhabian

The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an essential step in guiding treatment options and prognosis. However, current clinical practice relies on multi-step staining and labelling…

Quantitative Methods · Quantitative Biology 2026-03-10 Zhenya Zang , David A Dorward , Katherine E Quiohilag , Andrew DJ Wood , James R Hopgood , Ahsan R Akram , Qiang Wang

Virtual immunohistochemistry (IHC) aims to computationally synthesize molecular staining patterns from routine Hematoxylin and Eosin (H\&E) images, offering a cost-effective and tissue-efficient alternative to traditional physical staining.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-23 Rongze Ma , Mengkang Lu , Zhenyu Xiang , Yongsheng Pan , Yicheng Wu , Qingjie Zeng , Yong Xia

Multiplex immunofluorescence and immunohistochemistry benefit patients by allowing cancer pathologists to identify several proteins expressed on the surface of cells, enabling cell classification, better understanding of the tumour…

Computer Vision and Pattern Recognition · Computer Science 2021-07-19 Jessica Cooper , In Hwa Um , Ognjen Arandjelović , David J Harrison

Hematoxylin and Eosin (H&E) staining is widely regarded as the standard in pathology for diagnosing diseases and tracking tumor recurrence. While H&E staining shows tissue structures, it lacks the ability to reveal specific proteins that…

Image and Video Processing · Electrical Eng. & Systems 2025-05-21 Tushar Kataria , Beatrice Knudsen , Shireen Y. Elhabian

Virtual immunohistochemistry (IHC) staining from hematoxylin and eosin (H&E) images can accelerate diagnostics by providing preliminary molecular insight directly from routine sections, reducing the need for repeat sectioning when tissue is…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Jillur Rahman Saurav , Thuong Le Hoai Pham , Pritam Mukherjee , Paul Yi , Brent A. Orr , Jacob M. Luber

We introduce a new AI-ready computational pathology dataset containing restained and co-registered digitized images from eight head-and-neck squamous cell carcinoma patients. Specifically, the same tumor sections were stained with the…

Image and Video Processing · Electrical Eng. & Systems 2023-05-29 Parmida Ghahremani , Joseph Marino , Juan Hernandez-Prera , Janis V. de la Iglesia , Robbert JC Slebos , Christine H. Chung , Saad Nadeem

With the advent of digital scanners and deep learning, diagnostic operations may move from a microscope to a desktop. Hematoxylin and Eosin (H&E) staining is one of the most frequently used stains for disease analysis, diagnosis, and…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Shikha Dubey , Tushar Kataria , Beatrice Knudsen , Shireen Y. Elhabian

Immunohistochemical (IHC) staining provides crucial molecular characterization of tissue samples and plays an indispensable role in the clinical examination and diagnosis of cancers. However, compared with the commonly used Hematoxylin and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Mingzhou Jiang , Jiaying Zhou , Nan Zeng , Mickael Li , Qijie Tang , Chao He , Huazhu Fu , Honghui He

Compared to hematoxylin-eosin (H&E) staining, immunohistochemistry (IHC) not only maintains the structural features of tissue samples, but also provides high-resolution protein localization, which is essential for aiding in pathology…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Yuhang Kang , Ziyu Su , Tianyang Wang , Zaibo Li , Wei Chen , Muhammad Khalid Khan Niazi

Histopathological cancer diagnosis is based on visual examination of stained tissue slides. Hematoxylin and eosin (H\&E) is a standard stain routinely employed worldwide. It is easy to acquire and cost effective, but cells and tissue…

Computer Vision and Pattern Recognition · Computer Science 2022-07-12 Zhaoyang Xu , Xingru Huang , Carlos Fernández Moro , Béla Bozóky , Qianni Zhang
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