Managing histological data involves several steps:
Data Acquisition: Gathering high-quality images using microscopy techniques. Data Storage: Storing large volumes of image data, often requiring specialized databases and cloud storage solutions. Data Annotation: Labeling and annotating images to identify specific structures, cell types, and pathological features. Data Analysis: Using software tools and algorithms to analyze and interpret data, including image processing, pattern recognition, and statistical analysis.
