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  4. Multicore fiber endoscope for phase imaging based on intensity recording using deep neural networks
 
patent

Multicore fiber endoscope for phase imaging based on intensity recording using deep neural networks

Kakkava, Eirini  
•
Borhani, Navid  
•
Psaltis, Demetri  
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2022

The present invention is related to an endoscopic system for phase imaging, comprising a multicore waveguide (080), an optical system comprising at least one first light source (002), for illuminating the sample to be examined, a first camera (010) that is provided at the proximal side of the multicore waveguide (080) to capture a bright field intensity image of the sample (090) to be examined, and a processing unit (200), wherein the processing unit (200) comprises a deep neural network, preferably of the Unet-type and generative adversarial network (GAN) type, that is trained so as to provide phase images. The present invention is related to a method using said endoscopic device.

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Type
patent
EPO Family ID

71452240

Author(s)
Kakkava, Eirini  
Borhani, Navid  
Psaltis, Demetri  
Moser, Christophe  
Note

Alternative title(s) : (fr) Endoscope à fibre multicœur pour imagerie de phase sur la base d'un enregistrement d'intensité à l'aide de réseaux neuronaux profonds

TTO classification

TTO:6.2100

EPFL units
AVP-R-TTO  
IdentifierCountry codeKind codeDate issued

WO2022002399

WO

A1

2022-01-06

Available on Infoscience
February 1, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/185093
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