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.


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).

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence