Megan Harwig 🔬 (@mcharwig.bsky.social)

Revolutionizing High-Speed Dynamic Fluorescence Imaging with Deep Learning-Enhanced Denoising Techniques Researchers have unveiled a groundbreaking advancement in the field of fluorescence microscopy, designed to resolve one of the most significant challenges facing scientists: image degradation due to noise in dynamic in vivo imaging. This innovative method, recently published in the journal PhotoniX, presents a self-supervised deep learning approach known as Temporal-gradient empowered Denoising (TeD). The newly developed technique stands to revolutionize the way researchers capture and analyze high-speed biological processes, which are often severely obscured by noise. https://scienmag.com/revolutionizing-high-speed-dynamic-fluorescence-imaging-with-deep-learning-enhanced-denoising-techniques/?utm_source=bluesky&utm_medium=jetpack_social