TY - JOUR
T1 - Quantitating the Subtleties of Microglial Morphology with Fractal Analysis
AU - Karperien, Audrey
AU - Ahammer, Helmut
AU - Jelinek, Herbert
N1 - Imported on 12 Apr 2017 - DigiTool details were: 086 FoR could not be migrated (80201 - ). month (773h) = January, 2013; Journal title (773t) = Frontiers in Cellular Neuroscience. ISSNs: 1662-5102;
PY - 2013/1
Y1 - 2013/1
N2 - It is well established that microglial form and function are inextricably linked. In recent years, the traditional view that microglial form ranges between "ramified resting" and "activated amoeboid" has been emphasized through advancing imaging techniques that point to microglial form being highly dynamic even within the currently accepted morphological categories. Moreover, microglia adopt meaningful intermediate forms between categories, with considerable crossover in function and varying morphologies as they cycle, migrate, wave, phagocytose, and extend and retract fine and gross processes. From a quantitative perspective, it is problematic to measure such variability using traditional methods, but one way of quantitating such detail is through fractal analysis. The techniques of fractal analysis have been used for quantitating microglial morphology, to categorize gross differences but also to differentiate subtle differences (e.g., amongst ramified cells). Multifractal analysis in particular is one technique of fractal analysis that may be useful for identifying intermediate forms. Here we review current trends and methods of fractal analysis, focusing on box counting analysis, including lacunarity and multifractal analysis, as applied to microglial morphology
AB - It is well established that microglial form and function are inextricably linked. In recent years, the traditional view that microglial form ranges between "ramified resting" and "activated amoeboid" has been emphasized through advancing imaging techniques that point to microglial form being highly dynamic even within the currently accepted morphological categories. Moreover, microglia adopt meaningful intermediate forms between categories, with considerable crossover in function and varying morphologies as they cycle, migrate, wave, phagocytose, and extend and retract fine and gross processes. From a quantitative perspective, it is problematic to measure such variability using traditional methods, but one way of quantitating such detail is through fractal analysis. The techniques of fractal analysis have been used for quantitating microglial morphology, to categorize gross differences but also to differentiate subtle differences (e.g., amongst ramified cells). Multifractal analysis in particular is one technique of fractal analysis that may be useful for identifying intermediate forms. Here we review current trends and methods of fractal analysis, focusing on box counting analysis, including lacunarity and multifractal analysis, as applied to microglial morphology
KW - Open access version available
U2 - 10.3389/fncel.2013.00003
DO - 10.3389/fncel.2013.00003
M3 - Article
C2 - 23386810
SN - 1662-5102
VL - 7
SP - 1
EP - 18
JO - Frontiers in Cellular Neuroscience
JF - Frontiers in Cellular Neuroscience
IS - 3
ER -