Research news on digitization

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.

Historic plant collections offer a window into genetic change

Pressed plant specimens collected centuries ago and stored in herbaria around the world could play a key role in facilitating the tracking of genetic change and extinction risk in plants, a McGill University-led study indicates.

How 'digital twins' could help predict the fate of a forest

In his office at Michigan State University, forestry professor David Carter shows off an image of a virtual forest on his laptop. It's not just any forest. It's a computerized replica, or "digital twin," of a loblolly pine ...

Researchers digitize pollen from 18,000 plant species

A team of researchers from the Smithsonian Tropical Research Institute is digitizing images of pollen from more than 18,000 plant species from the tropics. The work is published in the journal PLANTS, PEOPLE, PLANET.