Computer Optimized Microscopy : Methods and Protocols /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
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| Edición: | 1st ed. 2019. |
| Colección: | Methods in Molecular Biology,
2040 |
| Materias: |
Tabla de Contenidos:
- Main Steps in Image Processing and Quantification: The Analysis Workflow
- Open Source Tools for Biological Image Analysis
- Proximity Ligation Assay Image Analysis Protocol: Addressing Receptor-Receptor Interactions
- Introduction to ImageJ Macro Language in a Particle Counting Analysis: Automation Matters
- Automated Macro Approach to Quantify Synapse Density in 2D Confocal Images from Fixed Immunolabeled Neural Tissue Sections
- Automated Quantitative Analysis of Mitochondrial Morphology
- Structure and Fluorescence Intensity Measurements in Biofilms
- 3D+Time Imaging and Image Reconstruction of Pectoral Fin during Zebrafish Embryogenesis
- Automated Macro Approach to Remove Vitelline Membrane Autofluorescence in Drosophila Embryo 4D Movies
- Which Elements to Build Co-Localization Workflows? From Metrology to Analysis
- A Triple Colocalization Approach to Assess Traffic Patterns and their Modulation
- Photobleaching and Sensitized Emission Based Methods for the Detection of Förster Resonance Energy Transfer
- In Vivo Quantification of Intramolecular FRET using RacFRET Biosensors Manel
- Cell Proliferation High-Content Screening on Adherent Cell Cultures
- HCS Methodology for Helping in Lab Scale Image-Based Assays
- Filopodia Quantification using FiloQuant
- Coincidence Analysis of Molecular Dynamics by Raster Image Correlation
- 3D Tracking of Migrating Cells from Live Microscopy Time-Lapses
- A Cell Segmentation/Tracking Tool Based on Machine Learning
- 2D+Time Object Tracking using Fiji and ilastik
- Machine Learning: Advanced Image Segmentation using ilastik.