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Virtual staining leverages computer-aided techniques to transfer the style of histochemically stained tissue samples to other staining types. In virtual staining of pathological images, maintaining strict structural consistency is crucial,…

Image and Video Processing · Electrical Eng. & Systems 2024-12-17 Bing Xiong , Yue Peng , RanRan Zhang , Fuqiang Chen , JiaYe He , Wenjian Qin

Histological staining is the gold standard for tissue examination in clinical pathology and life-science research, which visualizes the tissue and cellular structures using chromatic dyes or fluorescence labels to aid the microscopic…

Medical Physics · Physics 2023-03-07 Bijie Bai , Xilin Yang , Yuzhu Li , Yijie Zhang , Nir Pillar , Aydogan Ozcan

Accurate histopathological diagnosis often requires multiple differently stained tissue sections, a process that is time-consuming, labor-intensive, and environmentally taxing due to the use of multiple chemical stains. Recently, virtual…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Jiabo MA , Wenqiang Li , Jinbang Li , Ziyi Liu , Linshan Wu , Fengtao Zhou , Li Liang , Ronald Cheong Kin Chan , Terence T. W. Wong , Hao Chen

The emergence of virtual staining technology provides a rapid and efficient alternative for researchers in tissue pathology. It enables the utilization of unlabeled microscopic samples to generate virtual replicas of chemically stained…

Image and Video Processing · Electrical Eng. & Systems 2025-01-08 Junjia Wang , Bo Xiong , You Zhou , Xun Cao , Zhan Ma

Deep learning-based virtual staining was developed to introduce image contrast to label-free tissue sections, digitally matching the histological staining, which is time-consuming, labor-intensive, and destructive to tissue. Standard…

Image and Video Processing · Electrical Eng. & Systems 2022-10-31 Yijie Zhang , Luzhe Huang , Tairan Liu , Keyi Cheng , Kevin de Haan , Yuzhu Li , Bijie Bai , Aydogan Ozcan

Modern histopathology relies on the microscopic examination of thin tissue sections stained with histochemical techniques, typically using brightfield or fluorescence microscopy. However, the staining of samples can permanently alter their…

Histological examination is a crucial step in an autopsy; however, the traditional histochemical staining of post-mortem samples faces multiple challenges, including the inferior staining quality due to autolysis caused by delayed fixation…

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

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

Three-dimensional X-ray histology techniques offer a non-invasive alternative to conventional 2D histology, enabling volumetric imaging of biological tissues without the need for physical sectioning or chemical staining. However, the…

Image and Video Processing · Electrical Eng. & Systems 2025-09-12 Sarah C. Irvine , Christian Lucas , Diana Krüger , Bianca Guedert , Julian Moosmann , Berit Zeller-Plumhoff

Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial distributions of molecular species in biological tissue with…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Yijie Zhang , Luzhe Huang , Nir Pillar , Yuzhu Li , Lukasz G. Migas , Raf Van de Plas , Jeffrey M. Spraggins , Aydogan Ozcan

Multiplex imaging is revolutionizing pathology by enabling the simultaneous visualization of multiple biomarkers within tissue samples, providing molecular-level insights that traditional hematoxylin and eosin (H&E) staining cannot provide.…

Image and Video Processing · Electrical Eng. & Systems 2026-01-06 Hyun-Jic Oh , Junsik Kim , Zhiyi Shi , Yichen Wu , Yu-An Chen , Peter K Sorger , Hanspeter Pfister , Won-Ki Jeong

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

Virtual staining of histopathology images (e.g., H&E-IHC) is an emerging tool in digital pathology, enabling faster and cheaper workflows by synthesizing target stains from routinely acquired slides. Yet, the quality of virtual staining…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Fedor Gubanov , Svetlana Illarionova , Vlad Kozlovskiy , Mikhail Romanov , Yersultan Akhmetov , Aida Akaeva , Vyacheslav Grinevich , Rifat Hamoudi , Maxim Sharaev

Virtual histology is an emerging field in biomedicine that enables three-dimensional tissue visualization using X-ray micro-computed tomography. However, the method still lacks the specificity of conventional histology, in which parts of…

Histopathologic analysis of stained tissue remains central to biomedical research and clinical care. Virtual staining (VS) offers a promising alternative, with potential to reduce costs and streamline workflows, yet hallucinations pose…

Image and Video Processing · Electrical Eng. & Systems 2026-03-20 Ji-Hun Oh , Kianoush Falahkheirkhah , John Cheville , Rohit Bhargava

Human language is grounded on multimodal knowledge including visual knowledge like colors, sizes, and shapes. However, current large-scale pre-trained language models rely on text-only self-supervised training with massive text data, which…

Computation and Language · Computer Science 2023-02-28 Weizhi Wang , Li Dong , Hao Cheng , Haoyu Song , Xiaodong Liu , Xifeng Yan , Jianfeng Gao , Furu Wei

Histochemical staining is essential for visualizing tissue architecture and cellular morphology but is destructive and limited by the availability of tissue for multiple stains. Virtual staining with label-free microscopy offers a…

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

Accurate and fast histological staining is crucial in histopathology, impacting diagnostic precision and reliability. Traditional staining methods are time-consuming and subjective, causing delays in diagnosis. Digital pathology plays a…

Image and Video Processing · Electrical Eng. & Systems 2023-07-06 Marian Boktor , James E. D. Tweel , Benjamin R. Ecclestone , Jennifer Ai Ye , Paul Fieguth , Parsin Haji Reza
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