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

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...

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Bibliographic Details
Published in:Aquaculture 2011-08, Vol.318 (3), p.283-289
Main Authors: Bueno-Ibarra, Mario A., Chávez-Sánchez, M. Cristina, Álvarez-Borrego, Josué
Format: Article
Language:English
Subjects:
Algorithms
Animal aquaculture
Animal productions
Aquaculture
Biological and medical sciences
Crustacea
Digitalized images
Fundamental and applied biological sciences. Psychology
General aspects
image analysis
Inclusion bodies
Invertebrates
Marine
Shellfish
shrimp
Spectral signature
tissue analysis
Tissues
Viruses
White spot syndrome virus
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Description
Summary: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.
ISSN:0044-8486
1873-5622
DOI:10.1016/j.aquaculture.2011.05.022