This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data Science, the contributions offer an essential overview of the latest developments in various areas of statistics research. The 35 contributions have been divided into six parts, each of which focuses on a core area contributing to “Data Science”.

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This volume explores open-source based image analysis techniques to provide a state-of-the-art collection of workflows covering current bioimage analysis problematics, including colocalization, particle counting, 3D structural analysis, ratio imaging and FRET quantification, particle tracking, high-content screening or machine learning. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and scripts, step-by-step, readily reproducible image analysis protocols, and tips on troubleshooting and avoiding known pitfalls.

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