Focus classification in digital holographic microscopy using deep convolutional neural networks

Tomi Pitkäaho; Aki Manninen; Thomas J. Naughton

doi:10.1117/12.2286161

28 July 2017 Focus classification in digital holographic microscopy using deep convolutional neural networks

Tomi Pitkäaho, Aki Manninen, Thomas J. Naughton

Proceedings Volume 10414, Advances in Microscopic Imaging; 104140K (2017) https://doi.org/10.1117/12.2286161
Event: European Conferences on Biomedical Optics, 2017, Munich, Germany

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.

Citation Download Citation

Tomi Pitkäaho, Aki Manninen, and 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); https://doi.org/10.1117/12.2286161

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