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Related papers: Quantitative Stain Mapping in X-ray Virtual Histol…

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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

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

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

In histopathology, tissue sections are typically stained using common H&E staining or special stains (MAS, PAS, PASM, etc.) to clearly visualize specific tissue structures. The rapid advancement of deep learning offers an effective solution…

Image and Video Processing · Electrical Eng. & Systems 2025-04-23 Zizhi Chen , Xinyu Zhang , Minghao Han , Yizhou Liu , Ziyun Qian , Weifeng Zhang , Xukun Zhang , Jingwei Wei , Lihua Zhang

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

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

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

Three-dimensional (3D) histopathology of unprocessed tissues has the potential to transform disease management by enabling volumetric characterization of tissue microarchitecture and in-vivo assessment. Back-illumination Interference…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Anthony Song , Boyan Zhou , Mayank Golhar , Marisa Morakis , Alex Baras , Nicholas Durr

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

Virtual reality (VR) enables data visualization in an immersive and engaging manner, and it can be used for creating ways to explore scientific data. Here, we use VR for visualization of 3D histology data, creating a novel interface for…

Graphics · Computer Science 2022-01-31 Kaisa Liimatainen , Leena Latonen , Masi Valkonen , Kimmo Kartasalo , Pekka Ruusuvuori

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…

X-ray microtomography at synchrotron sources is fundamentally limited by the high radiation dose applied to the samples, which restricts investigations to non-native tissue states and thereby compromises the biological relevance of the…

Breast cancer is a health problem that affects mainly the female population. An early detection increases the chances of effective treatment, improving the prognosis of the disease. In this regard, computational tools have been proposed to…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Steve Tsham Mpinda Ataky , Alessandro Lameiras Koerich

Immunohistochemistry (IHC) is essential for assessing specific immune biomarkers like Human Epidermal growth-factor Receptor 2 (HER2) in breast cancer. However, the traditional protocols of obtaining IHC stains are resource-intensive,…

Image and Video Processing · Electrical Eng. & Systems 2026-04-10 Aasim Bin Saleem , Amr Ahmed , Ardhendu Behera , Hafeezullah Amin , Iman Yi Liao , Mahmoud Khattab , Pan Jia Wern , Haslina Makmur

Histological images are obtained by transmitting light through a tissue specimen that has been stained in order to produce contrast. This process results in 2D images of the specimen that has a three-dimensional structure. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2018-01-11 Maxime W. Lafarge , Josien P. W. Pluim , Koen A. J. Eppenhof , Pim Moeskops , Mitko Veta

The process of digitising histology slides involves multiple factors that can affect a whole slide image's (WSI) final appearance, including the staining protocol, scanner, and tissue type. This variability constitutes a domain shift and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Manahil Raza , Saad Bashir , Talha Qaiser , Nasir Rajpoot

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

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

Histological staining of tissue biopsies, especially hematoxylin and eosin (H&E) staining, serves as the benchmark for disease diagnosis and comprehensive clinical assessment of tissue. However, the process is laborious and time-consuming,…

Virtual stain transfer is a promising area of research in Computational Pathology, which has a great potential to alleviate important limitations when applying deeplearningbased solutions such as lack of annotations and sensitivity to a…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Jelica Vasiljević , Friedrich Feuerhake , Cédric Wemmert , Thomas Lampert
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