TY - JOUR T1 - NUMERICAL ERROR ANALYSIS FOR CONFIGURABLE CELL SEGMENTATION PROBLEM AU - Bilous, Nataliya AU - Hramm, Oleg AU - Ahekian, İryna AU - Khudhaır, Abed Thamer AU - Illyashenko, Ludmila AU - Nerukh, Alexander PY - 2019 DA - December DO - 10.18038/estubtda.650048 JF - Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering JO - Estuscience - Se PB - Eskisehir Technical University WT - DergiPark SN - 2667-4211 SP - 193 EP - 205 VL - 20 LA - en AB - The current intense interest in goldnanoparticles is due to their Surface Plasmon Resonances (SPR) that dependstrongly on the shape and size of the nanoparticles. As the SPR wavelength andresonantly enhanced absorption and scattering properties also depend on thedielectric medium in which gold nanoparticles are embedded, and also depend onthe way of their clustering, they are useful to design novel nanodevices, inparticular when it is based on ideas taken from nature. With purpose to selectthe most promising configurations for novel nanodevice design in this work themethod of cell recognition and evaluation of its efficiency is proposed. Existdifferent methods to produce microscopic images, they can be obtained fordifferent types of cells in different environments. Due to this fact, therecognition algorithms are needed. All methods have their advantages anddisadvantages and may work well only under certain conditions. Therefore, it isuseful for each specific task to implement a separate algorithm that will beeffective for the existing set of images, and take into account thepeculiarities of these images. The task of this work is not only to developflexible and customizable algorithm, that can be configured to segment cells ondifferent types of images, but also provide numerical error analysis correspondingto each step of algorithm. As a result, a solution is developed, that has manycustomizable parameters to optimize the result for a specific data set andspecific accuracy. In addition, this it is resistant to a lot of noise andartifacts, that can occur on images, such as uneven background, small debris,loss of focus when shooting. Numerical error analysis allows getting form ofcell segmentation more precisely to be reproduced for novel nanostructureddevice design KW - Cells recognition KW - Segmentation KW - Watershed; Hough transform CR - [1] Shim H, Allabergenov B, Kim J, Noh H.Y, Lyu H.-K, Lee M.-J, Choi B. Highly Bright Flexible Electroluminescent Devices with Retroreflective Electrodes, Advanced Materials Technologies 2017; 2(9): 1700040. DOI: 10.1002/admt.201700040 CR - [2] Liapis A.C, Rahman A, Black C.T. Self-assembled nanotextures impart broadband transparency to glass windows and solar cell encapsulants, Appl. Phys. Lett. 2017; 111: 183901. https://doi.org/10.1063/1.500096 CR - [3] Law J. B. 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