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Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue

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Cover of 'Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue'

Table of Contents

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    Book Overview
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    Chapter 1 Translation, Touch, and Overlap in Multi-fluorescence Confocal Laser Scanning Microscopy to Quantitate Synaptic Connectivity
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    Chapter 2 Surgical Procedures to Study Microglial Motility in the Brain and in the Spinal Cord by In Vivo Two-Photon Laser-Scanning Microscopy
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    Chapter 3 Analysis of Brain Projection Systems Using Third-Generation Neuroanatomical Tracers and Multiple Fluorescence Laser Scanning Microscopy
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    Chapter 4 Combining Multichannel Confocal Laser Scanning Microscopy with Serial Section Reconstruction to Analyze Large Tissue Volumes at Cellular Resolution
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    Chapter 5 Modeling Excitotoxic Ischemic Brain Injury of Cerebellar Purkinje Neurons by Intravital and In Vitro Multi-photon Laser Scanning Microscopy
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    Chapter 6 Analysis of Morphology and Structural Remodeling of Astrocytes
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    Chapter 7 Quantitative Analysis of Axonal Outgrowth in Mice
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    Chapter 8 Zebrafish Brain Development Monitored by Long-Term In Vivo Microscopy: A Comparison Between Laser Scanning Confocal and 2-Photon Microscopy
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    Chapter 9 Analysis of Actin Turnover and Spine Dynamics in Hippocampal Slice Cultures
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    Chapter 10 Quantitative Geometric Three-Dimensional Reconstruction of Neuronal Architecture and Mapping of Labeled Proteins from Confocal Image Stacks
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    Chapter 11 Confocal Microscopy Used for the Semiautomatic Quantification of the Changes in Aminoacidergic Fibers During Spinal Cord Regeneration
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    Chapter 12 Reconstruction and Morphometric Analysis of Hippocampal Neurons from Mice Expressing Fluorescent Proteins
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    Chapter 13 Machine Learning to Evaluate Neuron Density in Brain Sections
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    Chapter 14 Shearlet Analysis of Confocal Laser-Scanning Microscopy Images to Extract Morphological Features of Neurons
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Title
Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue
Published by
Springer New York, February 2014
DOI 10.1007/978-1-4939-0381-8
ISBNs
978-1-4939-0380-1, 978-1-4939-0381-8, 978-1-4939-5379-0
Editors

Bakota, Lidia, Brandt, Roland

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Brazil 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 8 15%
Student > Bachelor 7 13%
Student > Master 4 7%
Student > Doctoral Student 2 4%
Other 9 17%
Unknown 13 24%
Readers by discipline Count As %
Neuroscience 14 26%
Agricultural and Biological Sciences 12 22%
Biochemistry, Genetics and Molecular Biology 5 9%
Physics and Astronomy 2 4%
Engineering 2 4%
Other 6 11%
Unknown 13 24%