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020 _a9781493903818
_9978-1-4939-0381-8
024 7 _a10.1007/978-1-4939-0381-8
_2doi
050 4 _aRC321-580
072 7 _aPSAN
_2bicssc
072 7 _aSCI089000
_2bisacsh
072 7 _aPSAN
_2thema
082 0 4 _a612.8
_223
245 1 0 _aLaser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue
_h[electronic resource] /
_cedited by Lidia Bakota, Roland Brandt.
250 _a1st ed. 2014.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Humana,
_c2014.
300 _aXII, 307 p. 107 illus., 84 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aNeuromethods,
_x1940-6045 ;
_v87
505 0 _aTranslation, 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.
520 _aLaser 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 limitations of this quickly developing field.  This detailed volume seeks to introduce key questions, to provide detailed information on how to acquire data by laser-scanning microscopy, and to examine how to use the often huge digital data set in an efficient manner to extract maximum information. Thus the book not only provides a compilation of diverse protocols but aims to bring together biological bench work, laser scanning microscopy, and mathematical, computer-assisted data analysis to grasp novel insights of form, dynamics, and interactions of microscopy-sized biological objects.  Written in the popular Neuromethods series format, chapters include the kind of practical implementation advice that promises successful results.   Wide-ranging and innovative, Laser Scanning Microscopy and Quantitative Image Analysis of Neuronal Tissue will stimulate the reader to make efficient use of the application of laser scanning microscopy for his or her own research question.
650 0 _aNeurosciences.
650 0 _aBiophysics.
650 1 4 _aNeuroscience.
650 2 4 _aBioanalysis and Bioimaging.
700 1 _aBakota, Lidia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBrandt, Roland.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781493903801
776 0 8 _iPrinted edition:
_z9781493903825
776 0 8 _iPrinted edition:
_z9781493953790
830 0 _aNeuromethods,
_x1940-6045 ;
_v87
856 4 0 _uhttps://doi.org/10.1007/978-1-4939-0381-8
912 _aZDB-2-PRO
999 _c6807
_d6807