2001
DOI: 10.1002/1097-4547(20010101)63:1<90::aid-jnr11>3.0.co;2-9
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Morphology of reactive microglia in the injured cerebral cortex. Fractal analysis and complementary quantitative methods

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Cited by 171 publications
(160 citation statements)
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“…189 Numbers of microglia along the cell death (M1) and repair promoting (M2) phenotypic spectrum depend on TBI severity and kinetics of regulation. 188,190 The "immunoexcitotoxicity" theory suggests an alternative to the traditional and functionally distinct M1-M2 phenotypic polarization. Microglia are said to move from their resting and ramified state to one, where they swell with proinflammatory cytokines, remaining "primed" for action in the absence of inflammatory resolution.…”
Section: Microglial Activationmentioning
confidence: 96%
“…189 Numbers of microglia along the cell death (M1) and repair promoting (M2) phenotypic spectrum depend on TBI severity and kinetics of regulation. 188,190 The "immunoexcitotoxicity" theory suggests an alternative to the traditional and functionally distinct M1-M2 phenotypic polarization. Microglia are said to move from their resting and ramified state to one, where they swell with proinflammatory cytokines, remaining "primed" for action in the absence of inflammatory resolution.…”
Section: Microglial Activationmentioning
confidence: 96%
“…18 Microglial phenotypic classification was based on the length and thickness of the projections, the number of branches and the size of the cell body, as previously described. 51,52 The estimated number of microglia in each phenotypic class was divided by the volume of the region of interest to obtain the cellular density expressed in cells/mm 3 . Neurolucida software (MBF Biosciences) was used to create reconstructions of microglia at different stages of activation after injury by tracing the cell bodies and dendrites.…”
Section: Immunohistochemistry Image Acquisition and Quantificationmentioning
confidence: 99%
“…Microglial phenotypic classification was based on the length and thickness of the projections, the number of branches and the size of the cell body as previously described. 13,14,20 Hippocampal subregions were counted as a whole and the volume of the region of interest was measured using the Cavalieri estimator method with a grid spacing of 100 mm for the hippocampus. The estimated number of microglia in each phenotypic class was divided by the volume of the hippocampus to obtain the cellular density expressed in counts/mm 3 .…”
Section: Immunohistochemistrymentioning
confidence: 99%