"Hematoxylin" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A dye obtained from the heartwood of logwood (Haematoxylon campechianum Linn., Leguminosae) used as a stain in microscopy and in the manufacture of ink.
Descriptor ID |
D006416
|
MeSH Number(s) |
D03.383.663.283.600 D03.633.100.150.600
|
Concept/Terms |
Hematoxylin- Hematoxylin
- Hemotoxylin
- Hematoxiline
- Hydroxybrasilin
- Hydroxybrazilin
|
Below are MeSH descriptors whose meaning is more general than "Hematoxylin".
Below are MeSH descriptors whose meaning is more specific than "Hematoxylin".
This graph shows the total number of publications written about "Hematoxylin" by people in this website by year, and whether "Hematoxylin" was a major or minor topic of these publications.
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Year | Major Topic | Minor Topic | Total |
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1998 | 0 | 1 | 1 |
2011 | 0 | 1 | 1 |
2021 | 0 | 1 | 1 |
2022 | 0 | 1 | 1 |
2023 | 0 | 1 | 1 |
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Below are the most recent publications written about "Hematoxylin" by people in Profiles.
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DeepDOF-SE: affordable deep-learning microscopy platform for slide-free histology. Nat Commun. 2024 Apr 05; 15(1):2935.
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Deep Learning-Based H-Score Quantification of Immunohistochemistry-Stained Images. Mod Pathol. 2024 Feb; 37(2):100398.
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Pathomic Features Reveal Immune and Molecular Evolution From Lung Preneoplasia to Invasive Adenocarcinoma. Mod Pathol. 2023 Dec; 36(12):100326.
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Hematoxylin: From Logwood Trees to Microscope Slides. Mayo Clin Proc. 2023 09; 98(9):1429-1430.
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Unsupervised domain adaptation for nuclei segmentation: Adapting from hematoxylin & eosin stained slides to immunohistochemistry stained slides using a curriculum approach. Comput Methods Programs Biomed. 2023 Nov; 241:107768.
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Increased Diagnostic Specificity of Congo Red Stain for Amyloid: The Potential Role of Texas Red-Filtered Fluorescence Microscopy. Arch Pathol Lab Med. 2023 08 01; 147(8):907-915.
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Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network-Based Artificial Intelligence Tool. JCO Clin Cancer Inform. 2023 03; 7:e2200181.
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Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group. Clin Cancer Res. 2023 01 17; 29(2):364-378.
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Image analysis reveals differences in tumor multinucleations in Black and White patients with human papillomavirus-associated oropharyngeal squamous cell carcinoma. Cancer. 2022 11 01; 128(21):3831-3842.
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Neoplastic Cellularity Assessment in Molecular Testing. Arch Pathol Lab Med. 2022 09 01; 146(9):1062-1071.