Histological staining is the gold standard for tissue examination in clinical pathology and life-
science research, which visualizes the tissue and cellular structures using chromatic dyes or …

Advanced imaging techniques provide holistic observations of complicated biological
phenomena across multiple scales while posing great challenges to data analysis. We …

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

Modern drug discovery approaches often use high-content imaging to systematically study
the effect on cells of large libraries of chemical compounds. By automatically screening …

Life exists in three dimensions, but until the turn of the century most electron microscopy
methods provided only 2D image data. Recently, electron microscopy techniques capable of …

Cells are essential to understanding health and disease, yet traditional models fall short of
modeling and simulating their function and behavior. Advances in AI and omics offer …

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 …

By providing spatial, molecular and morphological data over time, live-cell imaging can
provide a deeper understanding of the cellular and signalling events that determine cancer …

Spatiotemporal forecasting (STF) extends traditional time series forecasting or spatial
interpolation problem to space and time dimensions. Here, we review the statistical, physical …

In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …