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An algorithm is presented that is able to detect the regions which correspond to the single isolated human insulin crystals in a group of previously segmented foreground regions. It is based on a single nearest prototype rule, which requires the knowledge of a class prototype for each class of segmented foreground regions. Each class prototype represents a 7-dimensional mean vector of rotation, translation...
In this paper, an algorithm is introduced for segmenting the foreground regions present in a human insulin crystal intensity image captured by an in-situ microscope inside of a bioreactor. The segmentation is carried out by classifying all image pixels into pixels belonging to the foreground regions and pixels belonging to the background region. For classification, the local intensity variance at...
This paper describes a new bubble segmentation algorithm based on shape from shading for in-situ microscopy. An in-situ microscope is an instrument to capture and analyze intensity images of cells inside of a bioreactor with minimal operator intervention and without the risk of culture contamination. For bubble segmentation, the closed bubble boundaries are first extracted by thresholding a depth...
Antimicrobial/antifungal effects of silver nanoparticles obtained with a novel electrochemical method on Escherichia coli, Staphylococcus aureus, Aspergillus niger and Penicillium phoeniceum cultures have been studied. The tests conducted have demonstrated that synthesized silver nanoparticles - when added to water paints or cotton fabrics - show a pronounced antibacterial/antifungal effect.
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