Content aware multi-focus image fusion for high-magnification blood film microscopy.

ABSTRACT: Automated digital high-magnification optical microscopy is key to accelerating biology research and improving pathology clinical pathways. High magnification objectives with large numerical apertures are usually preferred to resolve the fine structural details of biological samples, but they have a very limited depth-of-field. Depending on the thickness of the sample, analysis of specimens typically requires the acquisition of multiple images at different focal planes for each field-of-view, followed by the fusion of these planes into an extended depth-of-field image. This translates into low scanning speeds, increased storage space, and processing time not suitable for high-throughput clinical use. We introduce a novel content-aware multi-focus image fusion approach based on deep learning

SUBMITTER: Manescu P 

PROVIDER: S-EPMC8884220 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature