Deep learning-based transformation of H&E stained tissues into special stains [PDF]
Nature Communications, 2021 Performing multiple histological stains on a biopsy can be costly and time consuming. Here the authors present a method for the digital transformation of H&E stained tissue into special stains (e.g., PAS, Masson’s Trichrome and Jones silver stain), and ...
Kevin de Haan +13 more
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Generative adversarial network based digital stain conversion for generating RGB EVG stained image from hyperspectral H&E stained image [PDF]
Journal of Biomedical Optics, 2023 Quantification of elastic fiber in the tissue specimen is an important aspect of diagnosing different diseases. Though hematoxylin and eosin (H&E) staining is a routinely used and less expensive tissue staining technique, elastic and collagen fibers cannot be differentiated using it.
Tanwi Biswas +4 more
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Localization of Eosinophilic Esophagitis from H&E stained images using multispectral imaging [PDF]
Diagnostic Pathology, 2011 This study is an initial investigation on the capability of multispectral imaging to capture subtle spectral information that would enable the automatic delineation between the eosinophilic esophagitis and other eosin stained tissue components, especially the RBCs.
Pinky A. Bautista, Yukako Yagi
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Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide images. [PDF]
PLoS Computational BiologyChemical staining methods, while reliable, are time consuming and can be resource-intensive, involving costly chemical reagents and raising environmental concerns.
Mehdi Ounissi +5 more
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H&E Multi-Laboratory Staining Variance Exploration with Machine Learning [PDF]
Applied Sciences, 2022 In diagnostic histopathology, hematoxylin and eosin (H&E) staining is a critical process that highlights salient histological features. Staining results vary between laboratories regardless of the histopathological task, although the method does not change.
Fabi Prezja +4 more
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Data-driven color augmentation for H&E stained images in computational pathology
Journal of Pathology Informatics, 2023 Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs are high-resolution digitized histopathology images, stained with chemical reagents to highlight specific tissue structures and scanned via whole slide scanners. The
Niccolò Marini +10 more
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K-Stain: Keypoint-Driven Correspondence for H&E-to-IHC Virtual Staining [PDF]
Virtual staining offers a promising method for converting Hematoxylin and Eosin (H&E) images into Immunohistochemical (IHC) images, eliminating the need for costly chemical processes. However, existing methods often struggle to utilize spatial information effectively due to misalignment in tissue slices.
Sicheng Yang +3 more
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Influence of H&E and Papanicolau stains on DNA integrity: systematic review
, 2019 The success of the Human Genome Project along with the development of new molecular and bioinformatics methods has allowed a rapid evolution of personalized health care. In that context, molecular pathology plays a key role in providing patient-specific disease signatures allowing to develop targeted and patient-driven therapeutic strategies and to ...
Alexandra Pote +2 more
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Evaluation of Formalin Substitution Fixative Effects on H & E Staining Results
Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Qum, 2012 Background and Objectives: These days, Formalin is considered as a good and cheap fixative, but very harmful for human health. It is one of chemical components which has traditionally been used as a routine fixative in anatomy and pathology laboratories; however, their personnel are still under its harmful effects.
Ali Anissian, Maryam Eidi
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SurGen: 1020 H&E-stained whole-slide images with survival and genetic markers [PDF]
GigaScienceAbstract Background Cancer remains one of the leading causes of morbidity and mortality worldwide. Comprehensive datasets that combine histopathological images with genetic and survival data across various tumour sites are essential for advancing computational pathology and personalised ...
Craig Myles +4 more
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