Partition Models in the Analysis of Autoradiographic Images

R. G. Aykroyd

Journal of the Royal Statistical Society Series C, 1995, vol. 44, issue 4, 441-454

Abstract: A new method is proposed for the analysis of electron microscope autoradiographs. The method uses Bayesian principles to formulate a model, where a Poisson process describing the autoradiographic grain distribution is combined with prior distributions quantifying knowledge about the underlying truth. In common with an earlier model, the new model directly exploits assumptions of homogeneous subregions within the specimen and gives a full treatment of edge effects. However, the new model does not require accurate information about which physical boundaries lead to discontinuities in intensity or whether regions spatially separated have distinct intensities. The key extension over previous models is the inclusion of region labels, in addition to the region intensities. A Bayesian approach is used which also allows the inclusion of other prior information. Monte Carlo methods, based on Metropolis dynamics, are described to produce both point and interval estimates of the model parameters. Several examples illustrating the new procedure are reported. These examples use both real autoradiograph data and simulated data based on the morphology of the real specimen.

Date: 1995
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2307/2986137

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:44:y:1995:i:4:p:441-454

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().