Light sheet fluorescence microscopy
Light sheet fluorescence microscopy (LSFM) uses a thin sheet of light to excite only
fluorophores within the focal volume. Light sheet microscopes (LSMs) have a true optical …
fluorophores within the focal volume. Light sheet microscopes (LSMs) have a true optical …
Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
Avoiding a replication crisis in deep-learning-based bioimage analysis
Deep learning algorithms are powerful tools for analyzing, restoring and transforming
bioimaging data. One promise of deep learning is parameter-free one-click image analysis …
bioimaging data. One promise of deep learning is parameter-free one-click image analysis …
Removing independent noise in systems neuroscience data using DeepInterpolation
Progress in many scientific disciplines is hindered by the presence of independent noise.
Technologies for measuring neural activity (calcium imaging, extracellular electrophysiology …
Technologies for measuring neural activity (calcium imaging, extracellular electrophysiology …
Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging
Emerging functional materials such as halide perovskites are intrinsically unstable, causing
long-term instability in optoelectronic devices made from these materials. This leads to …
long-term instability in optoelectronic devices made from these materials. This leads to …
Structured illumination microscopy with noise-controlled image reconstructions
Super-resolution structured illumination microscopy (SIM) has become a widely used
method for biological imaging. Standard reconstruction algorithms, however, are prone to …
method for biological imaging. Standard reconstruction algorithms, however, are prone to …
Deep learning-enhanced light-field imaging with continuous validation
N Wagner, F Beuttenmueller, N Norlin, J Gierten… - Nature …, 2021 - nature.com
Visualizing dynamic processes over large, three-dimensional fields of view at high speed is
essential for many applications in the life sciences. Light-field microscopy (LFM) has …
essential for many applications in the life sciences. Light-field microscopy (LFM) has …
A versatile Wavelet-Enhanced CNN-Transformer for improved fluorescence microscopy image restoration
Fluorescence microscopes are indispensable tools for the life science research community.
Nevertheless, the presence of optical component limitations, coupled with the maximum …
Nevertheless, the presence of optical component limitations, coupled with the maximum …