2026-06-01T19:05:24Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/713282023-08-27T10:33:44Zcom_20.500.14352_14col_20.500.14352_15

00925njm 22002777a 4500 dc Vargas Balbuena, Javier author Gómez Pedrero, José Antonio author Quiroga Mellado, Juan Antonio author Alonso Fernández, José author 2022-01-31 We present an approach to enhance cryo-electron microscopy (cryo-EM) postprocessed maps based on a multiscale tubular filter. The method determines a tubularness measure locally by the analysis of the eigenvalues of the Hessian matrix. This information is used to enhance elongated local structures and to attenuate blob-like and plate-like structures. The approach, thus, introduces a priori information in the reconstructions to improve their interpretability and analysis at high-resolution. The proposed method has been tested with simulated and real cryo-EM maps including recent reconstructions of the SARS-CoV-2. Our results show that our methods can improve obtained reconstructions. 1094-4087 10.1364/OE.444675 https://hdl.handle.net/20.500.14352/71328 http://dx.doi.org/10.1364/OE.444675 https://opg.optica.org Enhancement of Cryo-EM maps by a multiscale tubular filter