A novel image processing method to determine the nutritional condition of lobsters.

The digestive gland of crustacean is involved in various metabolic activities, including the synthesis and secretion of digestive enzymes that begin the process of food digestion, intracellular digestion and absorption of nutrients, storage of reserves, and disposal of waste products. It consists of two glandular lobes which extensively subdivide to form a complex of blind-ending tubules, whose size, surface area, and digestive cells are associated with intracellular digestion and the nutritional status of the organism. The aim of this paper was to study the morphology of the digestive gland in various lobster species and calculate the surface area of tubules, lumen and digestive cells (R-, F-, and B-cells) and their ratios to total tubule surface area. The similarity in ratios obtained in this study between individual lobsters suggests that the method developed in this study can be successfully applied to a range of species. This study describes a novel image processing algorithm for the automatic measurement of the hepatopancreas structure using stained cross sections of digestive gland tubules. The proposed new methodology could be used for studying the physiology and nutrient metabolism of lobsters and other crustaceans. The computer-aided analysis described in this paper is accurate for the quantitative assessment of the lobster's digestive gland structure.