Transforming conventional fluorescence microscopy images to super-resolution using Machine Learning models

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vadimzinchuk
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Transforming conventional fluorescence microscopy images to super-resolution using Machine Learning models

#1 Post by vadimzinchuk » Fri Dec 24, 2021 5:56 am

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
Vadim Zinchuk, M.D., Ph.D.
Department of Neurobiology & Anatomy
Kochi University Faculty of Medicine
Kohasu, Okoh-cho, Nankoku, Kochi 783-8505
Japan
Email: zinchuk@kochi-u.ac.jp
LinkedIn: https://www.linkedin.com/in/vadimzinchuk/

MichaelG.
Posts: 3976
Joined: Mon Apr 10, 2017 8:24 am
Location: North Wales

Re: Transforming conventional fluorescence microscopy images to super-resolution using Machine Learning models

#2 Post by MichaelG. » Fri Dec 24, 2021 8:33 am

.

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.

.
Ref. https://www.kcl.ac.uk/lsm/research/divi ... x/coxsusan
Too many 'projects'

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vadimzinchuk
Posts: 11
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Re: Transforming conventional fluorescence microscopy images to super-resolution using Machine Learning models

#3 Post by vadimzinchuk » Fri Dec 24, 2021 8:41 am

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.
Vadim Zinchuk, M.D., Ph.D.
Department of Neurobiology & Anatomy
Kochi University Faculty of Medicine
Kohasu, Okoh-cho, Nankoku, Kochi 783-8505
Japan
Email: zinchuk@kochi-u.ac.jp
LinkedIn: https://www.linkedin.com/in/vadimzinchuk/

MichaelG.
Posts: 3976
Joined: Mon Apr 10, 2017 8:24 am
Location: North Wales

Re: Transforming conventional fluorescence microscopy images to super-resolution using Machine Learning models

#4 Post by MichaelG. » Fri Dec 24, 2021 9:42 pm

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.
Too many 'projects'

User avatar
vadimzinchuk
Posts: 11
Joined: Fri Dec 24, 2021 12:50 am

Re: Transforming conventional fluorescence microscopy images to super-resolution using Machine Learning models

#5 Post by vadimzinchuk » Fri Dec 24, 2021 11:49 pm

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
Vadim Zinchuk, M.D., Ph.D.
Department of Neurobiology & Anatomy
Kochi University Faculty of Medicine
Kohasu, Okoh-cho, Nankoku, Kochi 783-8505
Japan
Email: zinchuk@kochi-u.ac.jp
LinkedIn: https://www.linkedin.com/in/vadimzinchuk/

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