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- W2049408058 abstract "Neuroanatomical research has greatly benefited from the availability of a large number of cell-specific and region-specific molecular markers. In fact, the analysis of spatial patterns of gene expression in individual cells or patterns within cell populations often provides an inroad into understanding the functional significance of distinct structures. However, it can be difficult to discern whether the arrangement of different morphologically or biochemically defined structures represents a defined pattern. To address this issue, we adapted a series of established statistical procedures for the analysis of uni- and bivariate point patterns in histological specimens. We implemented these statistical procedures in an easy-to-use computer program. The methods are scale independent and easy to expand for various applications. The utility of this approach is demonstrated with examples from tissue sections and cultured cells at the light and electron microscopical levels.Theme: Development and regenerationTopic: Pattern formation, compartments, and boundaries" @default.
- W2049408058 created "2016-06-24" @default.
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- W2049408058 date "1998-11-01" @default.
- W2049408058 modified "2023-10-17" @default.
- W2049408058 title "Software implementation of statistical methods for the analysis of structure and patterns in neuroanatomical objects" @default.
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- W2049408058 doi "https://doi.org/10.1016/s1385-299x(98)00038-5" @default.
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