3D Optical Diffraction Tomography Using Deep Learning

Authors :: Thanh Nguyen
George Nehmetallah
Vy Bui
Source :: Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP).
Publication Year :: 2018
Publisher :: OSA, 2018.
Abstract: We developed a 3D deep convolutional neural network (3D-DCNN) to perform 3D diffraction optical tomography. We experimentally demonstrate the ability of a 3D-DCNN to reconstruct the 3D index of refraction distribution of a phantom dataset.

Subjects :: Diffraction
Materials science
medicine.diagnostic_test
Artificial neural network
business.industry
Deep learning
Image processing
Convolutional neural network
Imaging phantom
Optics
medicine
Artificial intelligence
Tomography
Optical tomography
business

Database :: OpenAIRE
Journal :: Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
Accession number :: edsair.doi...........592862f1a442e5cc96aa04d697c3e61e

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