Perhaps the most exciting frontier of digital histology is its compatibility with computational analysis. Traditional histology is qualitative: a pathologist judges whether a cell nucleus looks "pleomorphic" (abnormally shaped). This introduces inter-observer variability. Digital histology transforms tissue into data. By applying Artificial Intelligence (AI) and deep learning algorithms, computers can now perform quantitative tasks with superhuman precision:
Digital histology, also known as digital pathology, refers to the use of digital technology to analyze and interpret histological samples. This involves scanning tissue samples into a digital format, allowing pathologists to examine and diagnose diseases using computer monitors and specialized software. Digital histology combines the traditional techniques of histology with the power of digital imaging, enabling faster, more accurate, and more efficient analysis of tissue samples. histologia digital