Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Victor V. Skakun"'
Publikováno v:
IEEE Journal on Miniaturization for Air and Space Systems. 2:98-103
The object tracking alongside the image segmentation have recently become a particular significance in satellite and aerial imagery. The latest achievements in this field are closely related to the application of the deep-learning algorithms and, par
Publikováno v:
Journal of Applied Spectroscopy. 87:333-344
A method is proposed for processing large data sets of fluorescence decay kinetic curves using data mining algorithms to determine the parameters of biophysical and optical processes in molecular systems. The idea of this method involves breaking the
Autor:
Laura M Nederveen-Schippers, Jan Willem Borst, Adrie H. Westphal, Arjan Kortholt, Victor V. Skakun, Peter J.M. van Haastert, Pragya Pathak, Ineke Keizer-Gunnink
Publikováno v:
International Journal of Molecular Sciences
Volume 22
Issue 14
International Journal of Molecular Sciences, Vol 22, Iss 7300, p 7300 (2021)
International Journal of Molecular Sciences, 22(14)
International Journal of Molecular Sciences, 22(14):7300. MDPI AG
International Journal of Molecular Sciences 22 (2021) 14
Volume 22
Issue 14
International Journal of Molecular Sciences, Vol 22, Iss 7300, p 7300 (2021)
International Journal of Molecular Sciences, 22(14)
International Journal of Molecular Sciences, 22(14):7300. MDPI AG
International Journal of Molecular Sciences 22 (2021) 14
Protein dimerization plays a crucial role in the regulation of numerous biological processes. However, detecting protein dimers in a cellular environment is still a challenge. Here we present a methodology to measure the extent of dimerization of GFP
Publikováno v:
2021 IEEE 8th International Workshop on Metrology for AeroSpace (MetroAeroSpace).
object tracking is one of the most sophisticated and least researched tasks in computer vision, especially with respect to unmanned aerial vehicles. Primarily it caused by several challenges such as high distance to the tracking objects, variety in o
Autor:
Elina A. Tcherniavskaia, Vladimir A. Saetchnikov, Andreas Ostendorf, Anton V. Saetchnikov, Victor V. Skakun
Publikováno v:
IEEE Sensors Journal. 19:7644-7651
A biochemical arrayed sensor based on optical resonance technology and characterized by the dispersed positioning and properties of individual sensing units is discussed. Fabrication simplicity and reusability of the sensor as well as robustness of s
Publikováno v:
Journal of Applied Spectroscopy. 86:428-434
Different methods (correlation, logistic regression, median, and random forest methods) for the selection of informative characteristics of the intensity distribution of fluorescent nuclei on multichannel luminescent images of cancer cells are consid
MotivationModern methods of whole transcriptome sequencing accurately recover nucleotide sequences of RNA molecules present in cells and allow for determining their quantitative abundances. The coding potential of such molecules can be estimated usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b63c231fe27eec5648d6eba83ca49e3d
https://doi.org/10.1101/2021.02.05.429963
https://doi.org/10.1101/2021.02.05.429963
Publikováno v:
Software Impacts. 12:100268
Autor:
Mikalai M. Yatskou, Laura M Nederveen-Schippers, Victor V. Skakun, Arjan Kortholt, Vladimir V. Apanasovich
Publikováno v:
Journal of applied spectroscopy, 87(4), 685-692. SPRINGER
A method is proposed for the complex analysis of fluctuations in the fluorescence intensity of molecular compounds, which allows determining the structural composition of protein oligomers. The idea of the method is to analyze the photon counting his
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb996651a448f97fe59080f39d341b56
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/98321
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/98321
Publikováno v:
2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace).
Pattern recognition is one of the most important tasks in aerospace image processing. Various methods based on convolutional neural networks attain state-of-the-art accuracy; however, their effectiveness on exact images is influenced by the chosen ar