K-law spectral signature correlation algorithm to identify white spot syndrome virus in shrimp tissues

Autor:	Mario Alonso Bueno-Ibarra, Josué Álvarez-Borrego, M. Cristina Chávez-Sánchez
Rok vydání:	2011
Předmět:	animal structures Spectral signature biology Decapoda fungi White spot syndrome Aquatic Science biology.organism_classification Image capture Virology Virus Inclusion bodies Shrimp Correlation algorithm
Zdroj:	Aquaculture. 318:283-289
ISSN:	0044-8486
DOI:	10.1016/j.aquaculture.2011.05.022
Popis:	article i nfo An algorithm is developed to identify the white spot syndrome virus (WSSV) inclusion bodies, found in shrimp tissues by the analysis of digitalized images from infected samples. WSSV slide images were acquired by a computational image capture system and a new identification algorithm is developed to obtain those infected shrimp samples by the quantitative measurement of the complexity pattern found in WSSV inclusion bodies. Representative groups of WSSV inclusion bodies from infected shrimp tissues and organs were analyzed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::360620dadbd1d5f3d6cc5840217de86c https://doi.org/10.1016/j.aquaculture.2011.05.022 Zobrazit plný text záznamu Full Text from ScienceDirect