The need to put an uncertainty band on a PIV vector has long been missing in the PIV community. In recent years, several methods that address this need have emerged in the literature. For this reason, Measurement Science and Technology is addressing uncertainty quantification in PIV with its recent issue. In addition to an editorial written by Prof. Kenneth T. Christensen and Prof. Fulvio Scarano, this issue contains four papers dealing with uncertainty quantification in Particle Image Velocimetry. Three of these papers are from LaVision and its research collaboration partners. These papers are (1) the introduction of the correlation statistics (CS) method, (2) the creation of an experimental database for evaluating existing PIV uncertainty methods, (3) a detailed comparison of existing PIV uncertainty methods (using this database).

Please find more information about the latest issue here.