DeepLearning based denoising with Noise2Void

Click on the image to open it with OMERO.iviewer

Noise2Void can be used for denoising your images without the need for a ground truth. Training can be done on single noisy images in Fiji. Noise2Void can also be used if deconvolution is not possible due to unsuitable imaging parameters. Furthermore it can be used for almost all kinds of images, like EM, RGB, photographs etc. Curious what it can do for your images? You are welcome to contact me @Mattermost or by mail.

Read the paper: Noise2Void - Learning Denoising from Single Noisy Images | Noise2Void on Github

© Thomas Zobel

Super-resolution microscopy with DNA-PAINT

Reconstruction of a DNA-PAINT imaging sequence. 20nm DNA origami nanorulers are shown in red. The original pixelsize during detection is shown in green.

In March 2020 I attend the Trends in Microscopy (TiM-2020) summer school, an awesome event with microscopy hands on sessions from 9am - 12pm! We also did DNA-PAINT experiments with around 4nm resolution in an crowded and warm microscopy room. The technique is rel. simple to use and we have a group with quite a lot of experience with it. Just contact me if you are interested.
Thomas Zobel

Original Paper: Super-resolution microscopy with DNA-PAINT Joerg Schnitzbauer, Maximilian T Strauss, Thomas Schlichthaerle, Florian Schueder & Ralf Jungmann Nature Protocols volume 12, pages1198–1228(2017)