Single-molecule localization microscopy
Single-molecule localization microscopy (SMLM) describes a family of powerful imaging
techniques that dramatically improve spatial resolution over standard, diffraction-limited …
techniques that dramatically improve spatial resolution over standard, diffraction-limited …
[HTML][HTML] Inference in artificial intelligence with deep optics and photonics
Artificial intelligence tasks across numerous applications require accelerators for fast and
low-power execution. Optical computing systems may be able to meet these domain-specific …
low-power execution. Optical computing systems may be able to meet these domain-specific …
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Super-resolution microscopy for structural cell biology
Super-resolution microscopy techniques, and specifically single-molecule localization
microscopy (SMLM), are approaching nanometer resolution inside cells and thus have great …
microscopy (SMLM), are approaching nanometer resolution inside cells and thus have great …
Deep learning in nano-photonics: inverse design and beyond
Deep learning in the context of nano-photonics is mostly discussed in terms of its potential
for inverse design of photonic devices or nano-structures. Many of the recent works on …
for inverse design of photonic devices or nano-structures. Many of the recent works on …
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging
A superresolution imaging approach that localizes very small targets, such as red blood
cells or droplets of injected photoacoustic dye, has significantly improved spatial resolution …
cells or droplets of injected photoacoustic dye, has significantly improved spatial resolution …
[HTML][HTML] Deep learning enables fast and dense single-molecule localization with high accuracy
Single-molecule localization microscopy (SMLM) has had remarkable success in imaging
cellular structures with nanometer resolution, but standard analysis algorithms require …
cellular structures with nanometer resolution, but standard analysis algorithms require …
[HTML][HTML] 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 …
Super-resolution microscopy with single molecules in biology and beyond–essentials, current trends, and future challenges
L Möckl, WE Moerner - Journal of the American Chemical …, 2020 - ACS Publications
Single-molecule super-resolution microscopy has developed from a specialized technique
into one of the most versatile and powerful imaging methods of the nanoscale over the past …
into one of the most versatile and powerful imaging methods of the nanoscale over the past …
Single-shot hyperspectral-depth imaging with learned diffractive optics
Imaging depth and spectrum have been extensively studied in isolation from each other for
decades. Recently, hyperspectral-depth (HS-D) imaging emerges to capture both …
decades. Recently, hyperspectral-depth (HS-D) imaging emerges to capture both …