{"product_id":"data-analysis-for-fluorescence-microscopy-von-teodor-boyadzhiev","title":"Data Analysis for Fluorescence Microscopy","description":"\u003cp\u003eThe epidermal growth factor receptor (EGFR) is a cell surface receptor, which controls cell growth and division. Mutations affecting the receptor expression could lead to cancer. Analysis of EGFR interactions with living cells requires measuring separations between 5 and 60nm. The separations are calculated by analysing time-series of diffraction limited spots, generated by labelled EGFRs. Finding such time-series manually is time consuming and non-reproducible. This project uses machine learning algorithms in combination with understanding of the data collection process and analysis requirements to optimise the data selection process, by automatically rejecting non-analysable time-series. The comparison to the manual process shows that the automated process significantly decreases the time required for data selection and decreases the uncertainty in the distance measurements.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9786200114129\"\u003e\u003ch3\u003eOptimising Measurements of Epidermal Growth Factor Receptor Oligomers in Cells Using Machine Learning Algorithms\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9786200114129","offer_id":40052842266717,"sku":"9786200114129","price":91.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/909d04a9-d2d9-4d90-a848-4c3260004f4f.png?v=1758430462","url":"https:\/\/shop.autorenwelt.de\/en\/products\/data-analysis-for-fluorescence-microscopy-von-teodor-boyadzhiev","provider":"Autorenwelt Shop","version":"1.0","type":"link"}