Imaging Cell Signaling

Inbunden, Engelska, 2024

2 939 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This volume explores recent innovations across the entire pipeline of imaging signal transduction, cell preparation, cellular manipulation, image acquisition, and computational analysis.

Produktinformation

Utgivningsdatum2024-05-07
Mått178 x 254 x 20 mm
Vikt693 g
FormatInbunden
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor246
Upplaga2024
FörlagSpringer-Verlag New York Inc.
ISBN9781071638330

Tillhör följande kategorier

Rapid Preparation of Living Drosophila Pupal Macrophages for Ex Vivo Imaging.- Generation of 3D Fibroblast-Derived Extracellular Matrix and Analysis of Tumor Cell-Matrix Interactions and Signalling.- Induced Formation of Plasma Membrane Protrusions with Porous Materials as Instructive Surfaces.- Design and Synthesis of DNA Origami Nanostructures to Control TNF Receptor Activation.- Controlling the Potency of T Cell Activation using an Optically Tuneable Chimeric Antigen Receptor.- Imaging Cell Signaling in Tissues using the IBEX Method.- Investigating Epidermal Growth Factor Receptor Trafficking with High-Resolution Enzymatic Protein-Tagging and Transmission Electron Microscopy.- Some Guiding Principles for a "Simple" Correlative Light Electron Microscopy Experiment.- In Situ Imaging of Proteins using DNA-PAINT Super-Resolution Microscopy.- A Magnetic Pincher for the Dynamic Measurement of the Actin Cortex Thickness in Live Cells.- Measurement of Forces Acting on Single T Cell Receptors.- A Pipeline for Dynamic Analysis of Mitochondrial Content in Developing T Cells: Bridging the Gap between High Throughput Flow Cytometry and Single-Cell Microscopy Analysis.- Reconstructing Signaling Networks using Biosensor Barcoding.- Deep Learning-Based Cell Tracking in Deforming Organs and Moving Animals.- Using Dimensionality Reduction to Visualize Phenotypic Changes in High-Throughput Microscopy.- Learning Morphological, Spatial, and Dynamic Models for Cellular Components.