Publikation

High-Throughput Large Volume SEM Workflow using Sparse Scanning and In-painting Algorithms Inspired by Compressive Sensing

Faysal Boughorbel, Pavel Potocek, Milos Hovorka, Libor Strakos, John Mitchels, Tomas Vystavel, Patrick Trampert, Ben Lich, Tim Dahmen

In: Microscopy and Microanalysis 23 S1 Seiten 150-151 Cambridge University Press 7/2017.

Abstrakt

We are presenting a new extension to our Cell and Tissue/Neurobiology large volume imaging workflow, with the goal of increasing acquisition speed by more than five times. Instead of scanning dense square-grid frames, in the conventional way, our approach is here to explore the use of sparse scanning and inpainting techniques inspired by Compressive Sensing (CS).

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence