-
Article
Practical considerations for quantitative light sheet fluorescence microscopy
Fluorescence microscopy has evolved from a purely observational tool to a platform for quantitative, hypothesis-driven research. As such, the demand for faster and less phototoxic imaging modalities has spurre...
-
Article
Open AccessIncorporating the image formation process into deep learning improves network performance
We present Richardson–Lucy network (RLN), a fast and lightweight deep learning method for three-dimensional fluorescence microscopy deconvolution. RLN combines the traditional Richardson–Lucy iteration with a ...
-
Article
Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes
We demonstrate residual channel attention networks (RCAN) for the restoration and enhancement of volumetric time-lapse (four-dimensional) fluorescence microscopy data. First we modify RCAN to handle image volu...
-
Article
Author Correction: Faster, sharper, and deeper: structured illumination microscopy for biological imaging
In the version of this Perspective originally published, Fig. 4g included an incorrect inset adapted from a different figure than the main image in the panel. This error has been corrected in the PDF and HTML ...
-
Article
Faster, sharper, and deeper: structured illumination microscopy for biological imaging
Structured illumination microscopy (SIM) allows rapid, super-resolution (SR) imaging in live specimens. We review recent technical advances in SR-SIM, with emphasis on imaging speed, resolution, and depth. Sin...
-
Article
Single-shot super-resolution total internal reflection fluorescence microscopy
We combined instant structured illumination microscopy (iSIM) with total internal reflection fluorescence microscopy (TIRFM) in an approach referred to as instant TIRF-SIM, thereby improving the lateral spatia...
-
Article
Adaptive optics improves multiphoton super-resolution imaging
Adaptive optics and two-photon instant structured illumination microscopy are combined to provide improved super-resolution imaging within optically aberrating biological samples.