Digitization, as a method, refers to the systematic conversion of analog signals, physical objects, or continuous data into discrete numerical representations suitable for processing, storage, and transmission by digital systems. It typically involves sampling (discretizing time or space), quantization (discretizing amplitude or intensity), and encoding (mapping to binary or other digital formats). In research workflows, digitization underpins data acquisition from sensors, imaging modalities, or archival materials, enabling reproducible analysis, error detection and correction, algorithmic processing, and integration into computational pipelines. Methodological considerations include sampling rate, resolution, dynamic range, noise characteristics, and fidelity relative to the original analog or physical source.
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