Dye amount quantification of Papanicolaou-stained cytological images by multispectral unmixing: spectral analysis of cytoplasmic mucin.

Purpose: The color of Papanicolaou-stained specimens is a crucial feature in cytology diagnosis. However, the quantification of color using digital images is challenging due to the variations in the staining process and characteristics of imaging equipment. The dye amount estimation of stained specimens is helpful for quantitatively interpreting the color based on a physical model.

Image quantification analysis of cytoplasmic mucin and interpretation of mucin color in lobular endocervical glandular hyperplasia.

Introduction: Although the widespread use of screening tests and HPV vaccines for squamous cell carcinoma has led to early detection and treatment, effectiveness is limited for cervical adenocarcinoma. Lobular endocervical glandular hyperplasia (LEGH) corresponds to gastric metaplasia, but is regarded as a pathological condition with subtle morphological abnormalities. LEGH is a benign lesion and a precursor to gastric-type adenocarcinoma.

Relation between hydroxychloroquine dose and continuation rate in patients with systemic lupus erythematosus.

Objectives: Hydroxychloroquine (HCQ) is recommended at a target dose of 5 mg/kg per actual body weight to reduce the risk of retinopathy in systemic lupus erythematosus (SLE). However, the efficacy of HCQ has been established at doses of 6.5 mg/kg per ideal body weight.

Transformation from hematoxylin-and-eosin staining to Ki-67 immunohistochemistry digital staining images using deep learning: experimental validation on the labeling index.

Purpose: Endometrial cancer (EC) is one of the most common types of cancer affecting women. While the hematoxylin-and-eosin (H&E) staining remains the standard for histological analysis, the immunohistochemistry (IHC) method provides molecular-level visualizations. Our study proposes a digital staining method to generate the hematoxylin-3,3'-diaminobenzidine (H-DAB) IHC stain of Ki-67 for the whole slide image of the EC tumor from its H&E stain counterpart.

Itaconate reduces proliferation and migration of fibroblast-like synoviocytes and ameliorates arthritis models.

Fibroblast-like synoviocytes (FLS) play critical roles in rheumatoid arthritis (RA). Itaconate (ITA), an endogenous metabolite derived from the tricarboxylic acid (TCA) cycle, has attracted attention because of its anti-inflammatory, antiviral, and antimicrobial effects. This study evaluated the effect of ITA on FLS and its potential to treat RA.