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Fast, Targetted, High-Throughput Scanning Electron Microscopy

Obiettivo

This project aims at producing industrial-grade software from newly developed algorithms to greatly increase the throughput of scanning electron microscopes and, thus, to transform the way they are used to image 3D samples. To this end, we will integrate into the standard scanning software automated image-based recognition techniques to focus imaging resources on regions of interest while ignoring others. We expect this to speed up the acquisition by a factor 10 and to increase the volume sizes that can be imaged. Given the scientific and industrial importance of Electron Microscopy, we believe there is a substantial market for such improvements and we plan to demonstrate it.

Preliminary experiments have shown that the approach we propose can indeed reduce imaging time by a factor 10 at almost no information loss. The goal of this project will be to turn the insights we have gained, and are now patenting, into a software plug-in that can be sold along with Zeiss microscopes and their attendant software. Our target customers will initially be neuro-scientists both in academia and industry. However, the techniques we propose will also be of use in other fields where Electron Microscopy plays a critical role, such as Material Sciences and Electronic Circuit Design.

Invito a presentare proposte

ERC-2012-PoC
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Istituzione ospitante

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Contributo UE
€ 149 100,00
Indirizzo
BATIMENT CE 3316 STATION 1
1015 Lausanne
Svizzera

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Regione
Schweiz/Suisse/Svizzera Région lémanique Vaud
Tipo di attività
Higher or Secondary Education Establishments
Contatto amministrativo
Caroline Vandevyver (Ms.)
Collegamenti
Costo totale
Nessun dato

Beneficiari (1)