Cell counting tool parameters optimization approach for electroporation efficiency determination of attached cells in phase contrast images

Autor:	Marko Ušaj, Maša Kandušer, Drago Torkar, Damijan Miklavčič
Rok vydání:	2010
Předmět:	Histology Artificial neural network Computer science business.industry Electroporation Phase contrast microscopy Cell counting Object detection Backpropagation Pathology and Forensic Medicine law.invention law Microscopy Computer vision Artificial intelligence business
Zdroj:	Journal of Microscopy. 241:303-314
ISSN:	0022-2720
DOI:	10.1111/j.1365-2818.2010.03441.x
Popis:	Summary Inthispaperanovelparameteroptimizationapproachforcell detection tool and counting cells procedure in phase contrast images are presented. Manual counting of the attached cells in phase contrast images is time-consuming and subjective. For evaluation of electroporation efficiency of attached cells, we often perform manual counting of the cells which is needed to determine the percentage of electroporated cells under different experimental conditions. Here we present an automated cell counting procedure based on novel artificial neuralnetworkoptimizationofImage-basedToolforCounting Nucleialgorithmparameterstofitthetrainingimagesetbased oncountsfromanexpert.Comparingtheresultsofautomated cell counting to user manual counting a 90,31% average agreement was achieved which is reasonably good especially takingintoaccountinter-personerrorwhichcanbeupto10%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e5a75f455dcea37d1f0c31eb89d29121 https://doi.org/10.1111/j.1365-2818.2010.03441.x Zobrazit plný text záznamu Plný text