MicrobeHunter.com Microscopy Forum

Hello, In case you didn't know, it is now possible to view and analyze microscopy images on an iPad. You can try it yourself by downloading a free app called CoLocalizer from App Store : https://geo.itunes.apple.com/app/colocalizer/id1116017542?mt=8 The app is designed specifically for iPad to analy...

Dear All, Researchers working with medico-biological images frequently observe colocalization of fluorescently-labeled antigens. We wrote a book that helps to use an iPad app that estimates the phenomenon of colocalization quantitatively. Here is a link to a eBook on Apple Books Store : https://geo....

Hopefully. ToupTek will get its act together soon. This warning may be displayed if the developer didn't properly sign the app https://support.apple.com/en-us/HT202491 or sometimes when the developer chose not to distribute the app via Mac App Store. It also may happen with apps that were not updat...

I'm not a Mac guy, but I'm curios to hear how Apple's Rosetta handles running microscopy/imaging programs written for x86_64 on ARM.

Which programs in particular do you have in mind?

MichaelG,

ImageJ should work fine on your upcoming Mac mini M1, I meant that Java apps will probably never run on iPads.

Vadim

MichaelG, Thank you … Yes I am also interested in more general image editing. When you get a Mac mini M1, please post an update. I will gladly share the names of a few general image editing apps you may find useful. As I understand it: To ease the transition to Apple’s hardware, many ‘Intel’ apps wi...

I hope you will be able to find native Mac apps optimized for Apple Silicon suitable to your needs. Are you interested in Mac apps for image editing as well?

What Mac microscopy apps attract you the most to run on the new Mac mini?

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

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.

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 ...