Fluorescent Microscopy

Inbunden, Engelska, 2022

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The book is divided into four parts detailing basic fluorescent microscopy, quantitative methods, imaging living animals, human tissue samples, approaches for imaging at a near-molecular level, and approaches to image analysis.

Produktinformation

Utgivningsdatum2022-02-27
Mått178 x 254 x 27 mm
Vikt918 g
FormatInbunden
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor370
FörlagSpringer-Verlag New York Inc.
ISBN9781071620502

Tillhör följande kategorier

Maskinteknik och material inom Naturvetenskap och teknik

Fluorescence Microscopy: A Field Guide for Biologists.- Three-Dimensional Simultaneous Imaging of Nucleic Acids and Proteins During Influenza Virus Infection in Single Cells Using Confocal Microscopy.- Optimizing Long-Term Live Cell Imaging.- Monitoring Transmembrane and Peripheral Membrane Protein Interactions by Förster Resonance Energy Transfer Using Fluorescence Lifetime Imaging Microscopy.- Bimolecular Fluorescence Complementation to Visualize Protein:Protein Interactions in Cells.- Monitoring Cellular Responses to Infection with Fluorescent Biosensors.- Quantifying Endothelial Transcytosis with Total Internal Reflection Fluorescence Microscopy (TIRF).- Measurement of Minute Cellular Forces by Traction Force Microscopy.- Quantitative Immunofluorescent Imaging of Immune Cells in Mucosal Tissues.- Intravital Microscopy Techniques to Image Wound Healing in Mouse Skin.- Quantifiable Intravital Light Sheet Microscopy.- Hydrophobic and Hydrogel-based Methods for Passive Tissue Clearing.- Expansion Microscopy of Larval Zebrafish Brains and Zebrafish Embryos.- Super Resolution Radial Fluctuations (SRRF) Microscopy.- A Practical Guide for STED Imaging.- Single-Molecule Localization Microscopy of Subcellular Protein Distribution in Neurons.- Measuring the Lateral Diffusion of Plasma Membrane Receptors using Raster Image Correlation Spectroscopy.- Nanometer-Scale Molecular Mapping by Super-Resolution Fluorescence Microscopy.- Visualizing and Quantifying Data from Timelapse Imaging Experiments.- Automated Segmentation and Microscopy Image Analysis with Machine Learning.