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Protocol for Three-dimensional Confocal Morphometric Analysis of Astrocytes
Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Faculty of Health Sciences.
Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Health Sciences.
Neurophysiology Research Center, Shahed University, Iran.
Cellular and Molecular Research Center, School of Advanced Technologies in Medicine, Iran University of Medical Sciences, Iran.
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2015 (English)Other (Other academic)Moving image
Abstract [en]

As glial cells in the brain, astrocytes have diverse functional roles in the central nervous system. In the presence of harmful stimuli, astrocytes modify their functional and structural properties, a condition called reactive astrogliosis. Here, a protocol for assessment of the morphological properties of astrocytes is presented. This protocol includes quantification of 12 different parameters i.e. the surface area and volume of the tissue covered by an astrocyte (astrocyte territory), the entire astrocyte including branches, cell body, and nucleus, as well as total length and number of branches, the intensity of fluorescence immunoreactivity of antibodies used for astrocyte detection, and astrocyte density (number/1,000 µm2). For this purpose three-dimensional (3D) confocal microscopic images were created, and 3D image analysis software such as Volocity 6.3 was used for measurements. Rat brain tissue exposed to amyloid beta1-40 (Aβ1-40) with or without a therapeutic intervention was used to present the method. This protocol can also be used for 3D morphometric analysis of other cells from either in vivo or in vitro conditions.

Place, publisher, year, edition, pages
2015.
Keyword [en]
Neuroscience, Issue 106, Amyloid beta, Astrocyte size, Confocal microscope, Surface area, Three-dimensional morphometry, Volume
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-126642DOI: 10.3791/53113OAI: oai:DiVA.org:liu-126642DiVA: diva2:916015
Available from: 2016-03-31 Created: 2016-03-31 Last updated: 2016-04-18

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Bagheri, MaryamRezakhani, ArjangMohseni, Simin
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Department of Clinical and Experimental MedicineFaculty of Medicine and Health SciencesFaculty of Health SciencesDivision of Cell Biology
Medical Image Processing

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ReferencesLink to record
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