In the recent years, a dramatic boost of the research is observed at the junction of photonics,
machine learning and artificial intelligence. A new methodology can be applied to the …

Super-resolution microscopy techniques, and specifically single-molecule localization
microscopy (SMLM), are approaching nanometer resolution inside cells and thus have great …

Eukaryotic cells can undergo different forms of programmed cell death, many of which
culminate in plasma membrane rupture as the defining terminal event,,,,,–. Plasma …

Deep Learning (DL) methods are powerful analytical tools for microscopy and can
outperform conventional image processing pipelines. Despite the enthusiasm and …

Deep neural networks (DNNs) are machine learning algorithms that have revolutionized
computer vision due to their remarkable successes in tasks like object classification and …

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 …

Live imaging is a powerful tool, enabling scientists to observe living organisms in real time.
In particular, when combined with fluorescence microscopy, live imaging allows the …

Single-molecule localization microscopy in a typical wide-field setup has been widely used
for investigating subcellular structures with super resolution; however, field-dependent …

Single-molecule localization microscopy (SMLM) can be used to resolve subcellular
structures and achieve a tenfold improvement in spatial resolution compared to that …

Since its initial demonstration in 2000, far-field super-resolution light microscopy has
undergone tremendous technological developments. In parallel, these developments have …