Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue
Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue brings together contributions from research institutions around the world covering pioneering applications in laser scanning microscopy and quantitative image analysis and providing information about the power and limitatio...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Humana
2014, 2014
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| Edition: | 1st ed. 2014 |
| Series: | Neuromethods
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Translation, Touch, and Overlap in Multi-Fluorescence Confocal Laser Scanning Microscopy to Quantitate Synaptic Connectivity
- Surgical Procedures to Study Microglial Motility in the Brain and in the Spinal Cord by In Vivo Two-Photon Laser-Scanning Microscopy
- Analysis of Brain Projection Systems Using Third-Generation Neuroanatomical Tracers and Multiple Fluorescence Laser Scanning Microscopy
- Combining Multi-Channel Confocal Laser Scanning Microscopy with Serial Section Reconstruction to Analyze Large Tissue Volumes at Cellular Resolution
- Modeling Excitotoxic Ischemic Brain Injury of Cerebellar Purkinje Neurons by Intravital and In Vitro Multi-Photon Laser Scanning Microscopy
- Analysis of Morphology and Structural Remodeling of Astrocytes
- Quantitative Analysis of Axonal Outgrowth in Mice
- Zebrafish Brain Development Monitored by Long-Term In Vivo Microscopy: A Comparison Between Laser Scanning Confocal and 2-Photon Microscopy
- Analysis of Actin Turnover and Spine Dynamics in Hippocampal Slice Cultures
- Quantitative Geometric Three-Dimensional Reconstruction of Neuronal Architecture and Mapping of Labeled Proteins from Confocal Image Stacks
- Confocal Microscopy Used for the Semiautomatic Quantification of the Changes in Aminoacidergic Fibers During Spinal Cord Regeneration
- Reconstruction and Morphometric Analysis of Hippocampal Neurons from Mice Expressing Fluorescent Proteins
- Machine Learning to Evaluate Neuron Density in Brain Sections
- Shearlet-Analysis of Confocal Laser-Scanning Microscopy Images to Extract Morphological Features of Neurons