首页|Center for Advanced Systems Understanding (CASUS) Reports Findings in Machine Le arning (A deep learning dataset for sample preparation artefacts detection in mu ltispectral high-content microscopy)
Center for Advanced Systems Understanding (CASUS) Reports Findings in Machine Le arning (A deep learning dataset for sample preparation artefacts detection in mu ltispectral high-content microscopy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Gorlitz, Germany, by N ewsRx editors, research stated, "High-content image-based screening is widely us ed in Drug Discovery and Systems Biology. However, sample preparation artefacts may significantly deteriorate the quality of image-based screening assays." Financial supporters for this research include Sachsisches Staatsministerium fur Wissenschaft und Kunst, Bundesministerium fur Bildung und Forschung. Our news journalists obtained a quote from the research from Center for Advanced Systems Understanding (CASUS), "While detection and circumvention of such artef acts could be addressed using modern-day machine learning and deep learning algo rithms, this is widely impeded by the lack of suitable datasets. To address this , here we present a purpose-created open dataset of high-content microscopy samp le preparation artefact. It consists of high-content microscopy of laboratory du st titrated on fixed cell culture specimens imaged with fluorescence filters cov ering the complete spectral range. To ensure this dataset is suitable for superv ised machine learning tasks like image classification or segmentation we propose rule-based annotation strategies on categorical and pixel levels."
GorlitzGermanyEuropeCyborgsEmerg ing TechnologiesMachine Learning
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