Reviewing lacunarity analysis and classification of microglia in neuroscience

Audrey Karperien; Herbert Jelinek; N.T. Milosevic

Reviewing lacunarity analysis and classification of microglia in neuroscience

Audrey Karperien, Herbert Jelinek, N.T. Milosevic

University of Belgrade

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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Abstract

Fractal analysis in the neurosciences has advanced over the last twenty years to include measures such as lacunarity. Lacunarity assesses heterogeneity or translational and rotational invariance in an image. In general, measures of lacunarity correspond to visual impressions of uniformity, where low lacunarity conventionally implies homogeneity and high lacunarity heterogeneity. It is now necessary to review some of the new permutations of this analysis technique and what it can tell the neuroscientist. This paper outlines methodological considerations associated with three different types of lacunarity analysis applied to the classification of microglial cells.

Original language	English
Title of host publication	European Congress of Mathematics and Theoretical Biology 2011
Subtitle of host publication	Interdisciplinary Approaches to Fractal Analysis (IAFA)
Place of Publication	Poland
Publisher	ESMTB
Pages	888-893
Number of pages	6
Publication status	Published - 2011
Event	European Congress of Mathematics and Theoretical Biology - Krakow, Poland, Poland Duration: 28 Jun 2011 → 02 Jul 2011

Conference

Conference	European Congress of Mathematics and Theoretical Biology
Country/Territory	Poland
Period	28/06/11 → 02/07/11

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abstract = "Fractal analysis in the neurosciences has advanced over the last twenty years to include measures such as lacunarity. Lacunarity assesses heterogeneity or translational and rotational invariance in an image. In general, measures of lacunarity correspond to visual impressions of uniformity, where low lacunarity conventionally implies homogeneity and high lacunarity heterogeneity. It is now necessary to review some of the new permutations of this analysis technique and what it can tell the neuroscientist. This paper outlines methodological considerations associated with three different types of lacunarity analysis applied to the classification of microglial cells.",

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Reviewing lacunarity analysis and classification of microglia in neuroscience. / Karperien, Audrey; Jelinek, Herbert; Milosevic, N.T.

European Congress of Mathematics and Theoretical Biology 2011: Interdisciplinary Approaches to Fractal Analysis (IAFA). Poland : ESMTB, 2011. p. 888-893.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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N2 - Fractal analysis in the neurosciences has advanced over the last twenty years to include measures such as lacunarity. Lacunarity assesses heterogeneity or translational and rotational invariance in an image. In general, measures of lacunarity correspond to visual impressions of uniformity, where low lacunarity conventionally implies homogeneity and high lacunarity heterogeneity. It is now necessary to review some of the new permutations of this analysis technique and what it can tell the neuroscientist. This paper outlines methodological considerations associated with three different types of lacunarity analysis applied to the classification of microglial cells.

AB - Fractal analysis in the neurosciences has advanced over the last twenty years to include measures such as lacunarity. Lacunarity assesses heterogeneity or translational and rotational invariance in an image. In general, measures of lacunarity correspond to visual impressions of uniformity, where low lacunarity conventionally implies homogeneity and high lacunarity heterogeneity. It is now necessary to review some of the new permutations of this analysis technique and what it can tell the neuroscientist. This paper outlines methodological considerations associated with three different types of lacunarity analysis applied to the classification of microglial cells.

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KW - Box counting

KW - Fractals

KW - Lacunarity

KW - Microglia

KW - Pattern identification

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Y2 - 28 June 2011 through 2 July 2011

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Reviewing lacunarity analysis and classification of microglia in neuroscience

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