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Open access

Dovilė Kurpytė and Dalius Navakauskas

Abstract

The article reports on the investigation of augmented reality system which is designed for identification and augmentation of 100 different square markers. Marker recognition efficiency was investigated by rotating markers along x and y axis directions in range from −90° to 90°. Virtual simulations of four environments were developed: a) an intense source of light, b) an intense source of light falling from the left side, c) the non-intensive light source falling from the left side, d) equally falling shadows. The graphics were created using the OpenGL graphics computer hardware interface; image processing was programmed in C++ language using OpenCV, while augmented reality was developed in Java programming language using NyARToolKit. The obtained results demonstrate that augmented reality marker recognition algorithm is accurate and reliable in the case of changing lighting conditions and rotational angles - only 4 % markers were unidentified. Assessment of marker recognition efficiency let to propose marker classification strategy in order to use it for grouping various markers into distinct markers’ groups possessing similar recognition properties.

Open access

Darius Kulakovskis and Dalius Navakauskas

Abstract

An original Very High Speed Integrated Circuit Hardware Description Language (VHDL) code generation tool that can be used to automate Metabolic P (MP) system implementation in hardware such as Field Programmable Gate Arrays (FPGA) is described. Unlike P systems, MP systems use a single membrane in their computations. Nevertheless, there are many biological processes that have been successfully modeled by MP systems in software. This is the first attempt to analyze MP system hardware implementations. Two different MP systems are investigated with the purpose of verifying the developed software: the model of glucose–insulin interactions in the Intravenous Glucose Tolerance Test (IVGTT), and the Non-Photochemical Quenching process. The implemented systems’ calculation accuracy and hardware resource usage are examined. It is found that code generation tool works adequately; however, a final decision has to be done by the developer because sometimes several implementation architecture alternatives have to be considered. As an archetypical example serves the IVGTT MP systems’ 21–23 bits FPGA implementation manifesting this in the Digital Signal Processor (DSP), slice, and 4-input LUT usage.

Open access

Artūras Serackis, Dalius Matuzevičius, Dalius Navakauskas, Eldar Šabanovič, Andrius Katkevičius and Darius Plonis

Abstract

The aim of the investigation presented in this paper was to develop a software-based assistant for the protein analysis workflow. The prior characterization of the unknown protein in two-dimensional electrophoresis gel images is performed according to the molecular weight and isoelectric point of each protein spot estimated from the gel image before further sequence analysis by mass spectrometry. The paper presents a method for automatic and robust identification of the protein standard band in a two-dimensional gel image. In addition, the method introduces the identification of the positions of the markers, prepared by using pre-selected proteins with known molecular mass. The robustness of the method was achieved by using special validation rules in the proposed original algorithms. In addition, a self-organizing map-based decision support algorithm is proposed, which takes Gabor coefficients as image features and searches for the differences in preselected vertical image bars. The experimental investigation proved the good performance of the new algorithms included into the proposed method. The detection of the protein standard markers works without modification of algorithm parameters on two-dimensional gel images obtained by using different staining and destaining procedures, which results in different average levels of intensity in the images.

Open access

Veronika Borutinskaitė, Gražina Treigytė, Dalius Matuzevičius, Ilona Zaikova, Violeta Čeksterytė, Dalius Navakauskas, Bogumila Kurtinaitienė and Rūta Navakauskienė

Abstract

In the study, honey from oilseed rape Brassica napus L., and both hand-collected (winter rape Visby and Cult) and bee-collected pollen of oilseed rape were analyzed for their proteome content, in order to see if any plant proteins were present to allow the proteo-typing of the oilseed rape honey. Proteins were fractionated by two-dimensional gel electrophoresis (2DE), stained by Coomassie blue and then analyzed by mass spectrometry. All identified proteins were divided into few groups due to their biological function. In 2DE gels with separated proteins from blossom honey, only bee (Apis mellifera) main proteins (Major royal jelly protein 1-5 and Glucosidase) were found. So we analyzed all proteins using gel-free based analysis with the SYNAPT G2 high definition mass spectrometry. We identified proteins that were present in both oilseed rape pollen and honey (Bna, Polygalacturonase, Non-specific lipid-transfer protein, GAPDH and others). We believe that these proteins are important for the nutritional value of plant pollen-enriched honey and further research is required on honey and honeybee pollen protein.