Many biology labs fight with a glut of measurement data. New software aims to make this a thing of the past: it simplifies laboratory experiment evaluation and unifies how data is saved. It even identifies measurement errors on the spot.
During laboratory testing, countless measurement results accrue. To completely and systematically archive this body of data is extremely time consuming. In fact, researchers in the life sciences spend a quarter of their time managing data, according to an