Field-dependent deep learning enables high-throughput whole-cell 3D super-resolution imaging
Single-molecule localization microscopy in a typical wide-field setup has been widely used
for investigating subcellular structures with super resolution; however, field-dependent …
for investigating subcellular structures with super resolution; however, field-dependent …
Fluorescence Microscopy: a statistics-optics perspective
Fundamental properties of light unavoidably impose features on images collected using
fluorescence microscopes. Accounting for these features is often critical in quantitatively …
fluorescence microscopes. Accounting for these features is often critical in quantitatively …
Light sheet approaches for improved precision in 3D localization-based super-resolution imaging in mammalian cells
The development of imaging techniques beyond the diffraction limit has paved the way for
detailed studies of nanostructures and molecular mechanisms in biological systems …
detailed studies of nanostructures and molecular mechanisms in biological systems …
Multicolor localization microscopy and point-spread-function engineering by deep learning
Deep learning has become an extremely effective tool for image classification and image
restoration problems. Here, we apply deep learning to microscopy and demonstrate how …
restoration problems. Here, we apply deep learning to microscopy and demonstrate how …
Simultaneous orientation and 3D localization microscopy with a Vortex point spread function
Estimating the orientation and 3D position of rotationally constrained emitters with
localization microscopy typically requires polarization splitting or a large engineered Point …
localization microscopy typically requires polarization splitting or a large engineered Point …
Single-molecule localization microscopy of 3D orientation and anisotropic wobble using a polarized vortex point spread function
Within condensed matter, single fluorophores are sensitive probes of their chemical
environments, but it is difficult to use their limited photon budget to image precisely their …
environments, but it is difficult to use their limited photon budget to image precisely their …
Learning optimal wavefront shaping for multi-channel imaging
Fast acquisition of depth information is crucial for accurate 3D tracking of moving objects.
Snapshot depth sensing can be achieved by wavefront coding, in which the point-spread …
Snapshot depth sensing can be achieved by wavefront coding, in which the point-spread …
Three-dimensional localization microscopy using deep learning
Single molecule localization microscopy (SMLM) is one of the fastest evolving and most
broadly used super-resolving imaging techniques in the biosciences. While image …
broadly used super-resolving imaging techniques in the biosciences. While image …
Robust adaptive optics for localization microscopy deep in complex tissue
ME Siemons, NAK Hanemaaijer, MHP Kole… - Nature …, 2021 - nature.com
Abstract Single-Molecule Localization Microscopy (SMLM) provides the ability to determine
molecular organizations in cells at nanoscale resolution, but in complex biological tissues …
molecular organizations in cells at nanoscale resolution, but in complex biological tissues …
Information-rich localization microscopy through machine learning
Recent years have witnessed the development of single-molecule localization microscopy
as a generic tool for sampling diverse biologically relevant information at the super …
as a generic tool for sampling diverse biologically relevant information at the super …