Image analysis and length estimation of biomolecules using AFM.

ABSTRACT: There are many examples of problems in pattern analysis for which it is often possible to obtain systematic characterizations, if in addition a small number of useful features or parameters of the image are known a priori or can be estimated reasonably well. Often the relevant features of a particular pattern analysis problem are easy to enumerate, as when statistical structures of the patterns are well understood from the knowledge of the domain. We study a problem from molecular image analysis, where such a domain-dependent understanding may be lacking to some degree and the features must be inferred via machine-learning techniques. In this paper, we propose a rigorous, fully-automated technique for this problem. We are motivated by an application of atomic force microscopy (AFM) image p

SUBMITTER: Sundstrom A 

PROVIDER: S-EPMC4207372 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature