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Related papers: Digital synthesis of histological stains using mic…

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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 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

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…

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

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…

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

Using a deep neural network, we demonstrate a digital staining technique, which we term PhaseStain, to transform quantitative phase images (QPI) of labelfree tissue sections into images that are equivalent to brightfield microscopy images…

Image and Video Processing · Electrical Eng. & Systems 2019-02-08 Yair Rivenson , Tairan Liu , Zhensong Wei , Yibo Zhang , Aydogan Ozcan

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

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

Pathological diagnosis relies on the visual inspection of histologically stained thin tissue specimens, where different types of stains are applied to bring contrast to and highlight various desired histological features. However, the…

Medical Physics · Physics 2022-08-18 Xilin Yang , Bijie Bai , Yijie Zhang , Yuzhu Li , Kevin de Haan , Tairan Liu , Aydogan Ozcan

Organ transplantation serves as the primary therapeutic strategy for end-stage organ failures. However, allograft rejection is a common complication of organ transplantation. Histological assessment is essential for the timely detection and…

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…

Virtual staining, or in-silico-labeling, has been proposed to computationally generate synthetic fluorescence images from label-free images by use of deep learning-based image-to-image translation networks. In most reported studies,…

Image and Video Processing · Electrical Eng. & Systems 2025-08-04 Sourya Sengupta , Jianquan Xu , Phuong Nguyen , Frank J. Brooks , Yang Liu , Mark A. Anastasio

Immunohistochemistry (IHC) has transformed clinical pathology by enabling the visualization of specific proteins within tissue sections. However, traditional IHC requires one tissue section per stain, exhibits section-to-section…

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

An optical microscopic examination of thinly cut stained tissue on glass slides prepared from a FFPE tissue blocks is the gold standard for tissue diagnostics. In addition, the diagnostic abilities and expertise of any pathologist is…

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

The field of histology relies heavily on antiquated tissue processing and staining techniques that limit the efficiency of pathologic diagnoses of cancer and other diseases. Current staining and advanced labeling methods are often…

Pathology is practiced by visual inspection of histochemically stained slides. Most commonly, the hematoxylin and eosin (H&E) stain is used in the diagnostic workflow and it is the gold standard for cancer diagnosis. However, in many cases,…

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…

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