A patch-based super resolution algorithm for improving image resolution in clinical mass spectrometry.

ABSTRACT: Mass spectrometry imaging (MSI) and histology are complementary analytical tools. Integration of the two imaging modalities can enhance the spatial resolution of the MSI beyond its experimental limits. Patch-based super resolution (PBSR) is a method where high spatial resolution features from one image modality guide the reconstruction of a low resolution image from a second modality. The principle of PBSR lies in image redundancy and aims at finding similar pixels in the neighborhood of a central pixel that are then used to guide reconstruction of the central pixel. In this work, we employed PBSR to increase the resolution of MSI. We validated the proposed pipeline by using a phantom image (micro-dissected logo within a tissue) and mouse cerebellum samples. We compared the performance of

SUBMITTER: Scupakova K 

PROVIDER: S-EPMC6393664 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature