Difference between revisions of "Microscope Focus Quality"
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Revision as of 13:29, 31 August 2017
|Microscope Image Focus Quality Classifier|
|Founders||Curtis Rueden, Samuel Yang, Asim Shankar|
|Contributors||Samuel Yang, Asim Shankar|
This plugin assesses the focus quality of microscope images, classifying the image in tiles.
The plugin predicts an absolute measure of image focus on a single image in isolation, without any user-specified parameters. It uses a pre-trained deep neural network, operating at the image-patch level, and also outputs a measure of prediction certainty, enabling interpretable predictions.
The plugin is currently limited to 16-bit integer data only. The model was trained with images in the intensity range of
[0, ~10000]; your mileage may vary if the input image intensities diverge from that too greatly.
- Yang, S. J.; Berndl, M. & Ando, D. M. et al. (2018), "Assessing microscope image focus quality with deep learning", BMC BioInformatics 19(1), <https://doi.org/10.1186/s12859-018-2087-4>.
- TensorFlow, the machine learning library this plugin uses.