Sept 18: Learn how to remove noise from imaging data with supervised, self-supervised & generative AI. With Alexander Krull (University Birmingham).
Register for the series π https://bit.ly/6-image-processing-tasks
Sept 18: Learn how to remove noise from imaging data with supervised, self-supervised & generative AI. With Alexander Krull (University Birmingham).
Register for the series π https://bit.ly/6-image-processing-tasks
Here is a #Python #tutorial, where I compare #PCA, #KernelPCA (#kPCA), #Autoencoder and #CNN with regard to #ImageDenoising π π§Ή
π https://www.fabriziomusacchio.com/blog/2023-06-20-ai_image_denoising/
Promising new #imagedenoising tool: SUPPORT. Designed for #VoltageImaging and time lapse images in general:
π₯ https://static-content.springer.com/esm/art%3A10.1038%2Fs41592-023-02005-8/MediaObjects/41592_2023_2005_MOESM13_ESM.mp4 (demo)
βοΈ Eom, M., Han, S., Park, P. et al. Statistically unbiased prediction enables accurate denoising of voltage imaging data. #NatMethods (2023). https://doi.org/10.1038/s41592-023-02005-8
π¨βπ» https://github.com/NICALab/SUPPORT