Creating High-Resolution Multiscale Maps of Human Tissue Using Multi-beam SEM.

ABSTRACT: Multi-beam scanning electron microscopy (mSEM) enables high-throughput, nano-resolution imaging of macroscopic tissue samples, providing an unprecedented means for structure-function characterization of biological tissues and their cellular inhabitants, seamlessly across multiple length scales. Here we describe computational methods to reconstruct and navigate a multitude of high-resolution mSEM images of the human hip. We calculated cross-correlation shift vectors between overlapping images and used a mass-spring-damper model for optimal global registration. We utilized the Google Maps API to create an interactive map and provide open access to our reconstructed mSEM datasets to both the public and scientific communities via our website www.mechbio.org. The nano- to macro-scale map reveal

SUBMITTER: Pereira AF 

PROVIDER: S-EPMC5117996 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature