Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …

Advances in multiplexed imaging technologies have drastically improved our ability to
characterize healthy and diseased tissues at the single-cell level. Co-detection by indexing …

Pretrained neural network models for biological segmentation can provide good out-of-the-
box results for many image types. However, such models do not allow users to adapt the …

TrackMate is an automated tracking software used to analyze bioimages and is distributed
as a Fiji plugin. Here, we introduce a new version of TrackMate. TrackMate 7 is built to …

The intestine is a complex organ that promotes digestion, extracts nutrients, participates in
immune surveillance, maintains critical symbiotic relationships with microbiota and affects …

Many spatially resolved transcriptomic technologies do not have single-cell resolution but
measure the average gene expression for each spot from a mixture of cells of potentially …

Light sheet fluorescence microscopy (LSFM) uses a thin sheet of light to excite only
fluorophores within the focal volume. Light sheet microscopes (LSMs) have a true optical …

The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …

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

Let there be light–to change the world we want to be! Over the past several decades, and
ever since the birth of the first laser, mankind has witnessed the development of the science …