MicrobeHunter.com Microscopy Forum

Dear All,

We have created a set of Machine Learning models to transform conventional fluorescence microscopy images to super-resolution. The set consists of 3 models: denoising, axial resolution restoration, and super-resolution reconstruction. It achieves the high-quality transformation of conventional fluorescence microscopy images to images comparable with super-resolution while preserving and enhancing image details.

Our results are presented as a pre-print on Nature Protocol Exchange. Please read more and share your comments: https://protocolexchange.researchsquare ... ex-1721/v1

We will gladly explain how to apply these models in your studies, just ask.

Best wishes,

Vadim Zinchuk & Olga Grossenbacher-Zinchuk

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Thank you for sharing that … I have downloaded the PDF

Other readers may find it helpful to watch the video of a recent Zoom presentation by Dr Susan Cox
which is now available on the Royal Microscopical Society’s YouTube channel:
https://youtu.be/rl3MFhPjBHQ

MichaelG.

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Ref. https://www.kcl.ac.uk/lsm/research/divi ... x/coxsusan

You are very welcome. Feel free to comment either on the Nature Protocol Exchange site or here. We plan to update the protocol based on users' feedback.

I have downloaded the iPad App, but regrettably am not personally in a position to make use of it.
… I will, however, read the user manual with great interest; if only for my education:
https://www.geo.itunes.apple.com/book/c ... 2440?mt=11

MichaelG.

Very good! Feel free to ask if you have any questions. To learn more about using Machine Learning models for the transformation of microscopy images, check our recent review: https://currentprotocols.onlinelibrary. ... 2/cpcb.101

Vadim