28 July 2017 Focus classification in digital holographic microscopy using deep convolutional neural networks
Author Affiliations +
Abstract
In digital holographic microscopy, one often obtains an in-focus image of the sample by applying a focus metric to a stack of numerical reconstructions. We present an alternative approach using a deep convolutional neural network.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tomi Pitkäaho, Tomi Pitkäaho, Aki Manninen, Aki Manninen, Thomas J. Naughton, Thomas J. Naughton, } "Focus classification in digital holographic microscopy using deep convolutional neural networks", Proc. SPIE 10414, Advances in Microscopic Imaging, 104140K (28 July 2017); doi: 10.1117/12.2286161; https://doi.org/10.1117/12.2286161
PROCEEDINGS
3 PAGES


SHARE
Back to Top