388 citations · 390 across the 5 of their papers we have counts for
5 papers
LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
Tomáš Chobola, Gesine Müller, Veit Dausmann +4
The process of acquiring microscopic images in life sciences often results in image degradation and corruption, characterised by the presence of noise and blur, which poses signifi…
DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy
Yu Liu, Kurt Weiss, Nassir Navab +3
Light-sheet fluorescence microscopy (LSFM) is a cutting-edge volumetric imaging technique that allows for three-dimensional imaging of mesoscopic samples with decoupled illuminatio…
Essential Metadata for 3D BRAIN Microscopy
Alexander J. Ropelewski, Megan A. Rizzo, Jason R. Swedlow +14
Recent advances in fluorescence microscopy techniques and tissue clearing, labeling, and staining provide unprecedented opportunities to investigate brain structure and function. T…
Real-time multi-view deconvolution
Benjamin Schmid, Jan Huisken
In light-sheet microscopy, overall image content and resolution are improved by acquiring and fusing multiple views of the sample from different directions. State-of-the-art multi-…
OpenSPIM - an open access platform for light sheet microscopy
Peter Pitrone, Johannes Schindelin, Luke Stuyvenberg +5
Light sheet microscopy promises to revolutionize developmental biology by enabling live in toto imaging of entire embryos with minimal phototoxicity. We present detailed instructio…