Reviewing lacunarity analysis and classification of microglia in neuroscience

Audrey Karperien, Herbert Jelinek, N.T. Milosevic

Research output: Book chapter/Published conference paperConference paper

341 Downloads (Pure)

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 languageEnglish
Title of host publicationEuropean Congress of Mathematics and Theoretical Biology 2011
Subtitle of host publicationInterdisciplinary Approaches to Fractal Analysis (IAFA)
Place of PublicationPoland
PublisherESMTB
Pages888-893
Number of pages6
Publication statusPublished - 2011
EventEuropean Congress of Mathematics and Theoretical Biology - Krakow, Poland, Poland
Duration: 28 Jun 201102 Jul 2011

Conference

ConferenceEuropean Congress of Mathematics and Theoretical Biology
CountryPoland
Period28/06/1102/07/11

Fingerprint Dive into the research topics of 'Reviewing lacunarity analysis and classification of microglia in neuroscience'. Together they form a unique fingerprint.

Cite this