Titlebook: Cellular Heterogeneity; Methods and Protocol Natasha S. Barteneva,Ivan A. Vorobjev Book 2018 Springer Science+Business Media, LLC 2018 Live

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https://doi.org/10.1007/978-3-531-90921-9eneous cellular populations. The protocol describes a detailed step-by-step analysis of microalgae using these techniques and examples from our laboratory (. sp., ., and . sp.). Moreover, the chapter will be helpful to scientists who want to perform spectral flow cytometry and apply principal component analysis.

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https://doi.org/10.1007/978-3-531-90872-4geneity, there are four major approaches: analysis of pooled samples, single-cell analysis, high-throughput single-cell analysis, and lately integrated analysis of cellular population at a single-cell level. Recently developed high-throughput single-cell genetic analysis methods such as RNA-Seq requ

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https://doi.org/10.1007/978-3-531-90872-4s are beginning to capture the importance and interdependence of these phenomena. However, existing image analysis pipelines often fail to capture the intricate changes that occur in small subpopulations, either due to poor segmentation protocols or cell tracking errors. Here we report a pipeline de

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Organisation und Welterschlie?ungents of protein or nucleic acid abundances by bringing together the detection capacity of atomic mass spectroscopy and the sample preparation workflow typical of regular flow cytometry. In 2014 the mass cytometer was adapted for the acquisition of samples from microscopy slides (termed imaging mass

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https://doi.org/10.1007/978-3-531-90921-9eneous cellular populations. The protocol describes a detailed step-by-step analysis of microalgae using these techniques and examples from our laboratory (. sp., ., and . sp.). Moreover, the chapter will be helpful to scientists who want to perform spectral flow cytometry and apply principal compon

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Strukturation und Dekonstruktionusing fluorescently conjugated antibodies for specific surface and activation markers provides a comprehensive profile of immune cells. This chapter describes the identification and characterization of myeloid populations using flow cytometric analysis in an acute model of resolving inflammation. Th

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