Track 29: tissue-imaging and digital image

Tissue Imaging refers to a set of techniques used to visualize and analyze the microscopic structure of biological tissues. It is crucial in pathology, research, and diagnostics. Common modalities include:

Histopathology: Uses stains like H&E (Hematoxylin and Eosin) to examine tissue under a light microscope.

Immunohistochemistry (IHC): Uses antibodies to detect specific proteins within tissues.

Fluorescence Imaging: Tags specific components with fluorescent dyes or proteins to visualize cellular structures and molecular events.

Multiplex Imaging: Allows visualization of multiple biomarkers simultaneously on the same tissue section.

Mass Spectrometry Imaging (MSI): Combines molecular analysis and imaging to map the distribution of chemicals in tissues.

Optical Coherence Tomography (OCT) and Confocal Microscopy: Provide high-resolution imaging of live or fixed tissue in 3D.

Digital Image (in Pathology and Biomedicine)

A Digital Image is a representation of visual information in a numerical format, typically captured by scanning tissue slides or through digital cameras in microscopes.

Whole Slide Imaging (WSI): High-resolution scanning of entire glass slides to create digital slides viewable on screen.

Image Analysis Software: Algorithms measure cell count, size, morphology, and intensity of staining.

Machine Learning & AI: Enables pattern recognition, disease classification, and decision support systems.

Telepathology: Allows remote sharing and diagnosis of digital slides, improving access and collaboration