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Image-Based Empirical Importance Sampling: An Efficient Way of Estimating Intensities

Authors


Eva B. Vedel Jensen, Department of Mathematical Sciences, Aarhus University, Ny Munkegade, DK-8000 Aarhus C, Denmark.
E-mail: eva@imf.au.dk

Abstract

Abstract.  Very recently, it has been suggested in the biomedical literature to combine computerized image analysis with non-uniform sampling to increase the efficiency of estimators of intensities of biological cell populations. We give this ingenious idea of empirical importance sampling a stochastic formulation, using point process theory and modern sampling theory. We develop statistical tools for assessing its efficiency and construct optimal model-based estimators of intensities. Examples of applications of empirical importance sampling in microscopy are provided.

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