A neural lens for super-resolution biological imaging

Visualizing structures smaller than the eye can see has been a driving force in scientific research since the invention of the optical microscope. Here, we use a network of neural networks to create a neural lens that has the ability to transform 20× optical microscope images into a resolution compa...

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Bibliographic Details

Published in:	Journal of physics communications Vol. 3; no. 6; pp. 65004 - 65010
Main Authors:	Grant-Jacob, James A, Mackay, Benita S, Baker, James A G, Xie, Yunhui, Heath, Daniel J, Loxham, Matthew, Eason, Robert W, Mills, Ben
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01-06-2019
Subjects:	bioimaging deep learning machine learning Microscopes microscopy
Online Access:	Get full text
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