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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…

计算机视觉与模式识别 · 计算机科学 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.…

图像与视频处理 · 电气工程与系统科学 2020-05-08 Yijie Zhang , Kevin de Haan , Yair Rivenson , Jingxi Li , Apostolos Delis , 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…

图像与视频处理 · 电气工程与系统科学 2022-10-31 Yijie Zhang , Luzhe Huang , Tairan Liu , Keyi Cheng , Kevin de Haan , Yuzhu Li , Bijie Bai , Aydogan Ozcan

Histopathological visualizations are a pillar of modern medicine and biological research. Surgical oncology relies exclusively on post-operative histology to determine definitive surgical success and guide adjuvant treatments. The current…

图像与视频处理 · 电气工程与系统科学 2022-04-04 Marian Boktor , Benjamin Ecclestone , Vlad Pekar , Deepak Dinakaran , John R. Mackey , 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…

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…

医学物理 · 物理学 2023-03-07 Bijie Bai , Xilin Yang , Yuzhu Li , Yijie Zhang , Nir Pillar , Aydogan Ozcan

Virtual staining streamlines traditional staining procedures by digitally generating stained images from unstained or differently stained images. While conventional staining methods involve time-consuming chemical processes, virtual…

Many medical and biological protocols for analyzing individual biological cells involve morphological evaluation based on cell staining, designed to enhance imaging contrast and enable clinicians and biologists to differentiate between…

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,…

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…

图像与视频处理 · 电气工程与系统科学 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…

医学物理 · 物理学 2022-08-18 Xilin Yang , Bijie Bai , Yijie Zhang , Yuzhu Li , Kevin de Haan , Tairan Liu , Aydogan Ozcan

Histological Tertiary Lymphoid Structures (TLSs) are increasingly recognized for their correlation with the efficacy of immunotherapy in various solid tumors. Traditionally, the identification and characterization of TLSs rely on…

图像与视频处理 · 电气工程与系统科学 2024-08-27 Qiuli Wang , Yongxu Liu , Li Ma , Xianqi Wang , Wei Chen , Xiaohong Yao

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…

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…

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…

图像与视频处理 · 电气工程与系统科学 2026-04-14 Tushar Kataria , Beatrice Knudsen , Shireen Y. Elhabian

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…

计算机视觉与模式识别 · 计算机科学 2025-08-05 Yijie Zhang , Luzhe Huang , Nir Pillar , Yuzhu Li , Lukasz G. Migas , Raf Van de Plas , Jeffrey M. Spraggins , Aydogan Ozcan

Here, we present a diffusion transformer (DiT)-based pixel super-resolution virtual staining approach to transform low-resolution FTIR microspectroscopic images of the unstained tissues into corresponding high-resolution H&E-stained images.…

光学 · 物理学 2026-03-10 Yudong Tian , Xiangyu Zhao , Yuqing Liu , Bofei Yang , Chongzhao Wu

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…

计算机视觉与模式识别 · 计算机科学 2022-07-12 Zhaoyang Xu , Xingru Huang , Carlos Fernández Moro , Béla Bozóky , Qianni Zhang
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