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  4. Efficient Scanning for EM Based Target Localization
 
conference paper

Efficient Scanning for EM Based Target Localization

Sznitman, Raphael  
•
Lucchi, Aurélien  
•
Pjescic-Emedi, Natasa  
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2012
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
15th International Conference on Medical Image Computing and Computer Assisted Intervention

For biologists studying the morphology of cells, Electron Microscopy (EM) is the method of choice with its {\it nm} resolution, across increasingly larger volumes. However, the time necessary to acquire such image series is long and often limits the amount samples are imaged. This paper presents a strategy for fast imaging and automated selection of regions of interest that significantly accelerates this process. In particular, this strategy involves scanning a tissue sample once, finding regions of interest in which target structures might be located, scanning these regions once again, and iterating the process until only relevant regions of the block face have been scanned repeatedly. For mitochondria and synapses, this approach is shown to produce near equal localization results to current state-of-the art techniques, and does so in almost a tenth of the time.

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Type
conference paper
DOI
10.1007/978-3-642-33454-2_42
Author(s)
Sznitman, Raphael  
Lucchi, Aurélien  
Pjescic-Emedi, Natasa  
Knott, Graham  orcid-logo
Fua, Pascal  
Date Issued

2012

Published in
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
Start page

337

End page

344

Subjects

Computer Vision

•

Electron Microscopy

•

Fast Imaging

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CVLAB  
CIME  
Event nameEvent placeEvent date
15th International Conference on Medical Image Computing and Computer Assisted Intervention

Nice, France

October, 2012

Available on Infoscience
August 9, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/84473
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