Histopathology is a cornerstone of clinical diagnosis, especially in cancer care. However, conventional chemical staining is ...

Traditional histopathology, crucial for disease diagnosis, relies on chemically staining tissue samples to highlight cellular structures for microscopic examination by pathologists. This ...

Autopsy has a central role in shedding light on diseases, helping to uncover the cause of death. Tissue samples from various organs are sampled, stained, and examined under a light microscope to ...

Researchers at the Paul Scherrer Institute PSI have developed an AI platform that stains tissue images from computed ...

Leveraging trusted automation from Leica Biosystems, HCR™ Gold IF helps researchers move from tissue to insight faster with ...

Understanding cellular function within a given microenvironment is currently an expectation rather than the exception in life sciences research. Cell- and tissue-specific relationships determine ...

Tumor microenvironment is a complex assembly of cancer cells, immune cells, stromal cells, and extracellular matrix components. Interactions between these components can significantly impact tumor ...

Staining is a crucial step in histopathology that prepares tissue sections for microscopic examination. Hematoxylin and eosin (H&E) staining, also known as basic or routine staining, is used in 80% of ...

Rudolf Virchow fundamentally changed medicine when he formulated his cell theory of disease in the 19th century: Diseases do ...

High-resolution mapping of three-dimensional structures in biological tissues is essential for understanding various biological processes. However, the optical heterogeneity of these tissues, marked ...

Deep neural networks have already been applied to stain unlabeled tissue section images, avoiding different laborious and time-consuming histochemical staining processes. There are, however, some ...

Researchers from the University of Eastern Finland, the University of Turku, and Tampere University have developed an artificial intelligence-based method for virtual staining of histopathological ...