CIDRE: an illumination-correction method for optical microscopy.

Kevin SmithYunpeng LiFilippo PiccininiGabor CsucsCsaba BalazsAlessandro BevilacquaPeter Horvath

Published in: Nature methods (2015)

Uneven illumination affects every image acquired by a microscope. It is often overlooked, but it can introduce considerable bias to image measurements. The most reliable correction methods require special reference images, and retrospective alternatives do not fully model the correction process. Our approach overcomes these issues for most optical microscopy applications without the need for reference images.

Keyphrases

deep learning
high resolution
high speed
optical coherence tomography
convolutional neural network
single molecule
high throughput
machine learning
cross sectional