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 …

Measuring morphological and biochemical features of tissue is crucial for disease diagnosis
and surgical guidance, providing clinically significant information related to pathophysiology …

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

One intrinsic yet critical issue that troubles the field of fluorescence microscopy ever since its
introduction is the unmatched resolution in the lateral and axial directions (ie, resolution …

Long-term visualization of the dynamic interactions between intracellular structures
throughout the three-dimensional space of whole live cells is essential to better understand …

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 …

Rapid and accurate identification of pathogens is crucial for public healthcare and patient
treatment. However, the commonly used analytic tools such as molecular diagnostics and …

We demonstrate residual channel attention networks (RCAN) for the restoration and
enhancement of volumetric time-lapse (four-dimensional) fluorescence microscopy data …

Deep convolutional neural networks (CNNs) have pushed forward the frontier of super-
resolution (SR) research. However, current CNN models exhibit a major flaw: they are …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …