2026-04-13T15:10:00Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3856532025-07-22T16:53:02Zcom_2072_1033col_2072_452951

Understandting soft matter through the use of novel biophysical tools Trius Béjar, Juan Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica University of New South Wales Casas Piedrafita, Óscar Wang, Anna Rawat, Siddharth Àrees temàtiques de la UPC::Ciències de la visió::Òptica física Pollen Optics Holography Pollen Deep Learning Holography Optics Pol·len Òptica Holografia Pollen detection is an ongoing topic reviewed nowadays. This substance's impact on human healthcare is high, causing diseases, allergies and asthma. The principal limitation is the necessity of post-processing the laboratory. In this project, we propose to use a not usual tool in this field. With its high-information images, Holography may give us the difference when trying to recognize pollen grains. Combined with the powerful processing technique of computer vision, this project could be the first step in the in-live recognition of pollen. It can be ampliated to recognize another type of aerosols. 2023-02-01 Bachelor thesis https://hdl.handle.net/2117/385653 ETSETB-230.174566 eng S'autoritza la difusió de l'obra mitjançant la llicència Creative Commons o similar 'Reconeixement-NoComercial- SenseObraDerivada' Open Access application/pdf Universitat Politècnica de Catalunya