Super-resolution microscopy (SRM) has become essential for the study of nanoscale
biological processes. This type of imaging often requires the use of specialised image analysis …

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 …

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

Artificial Intelligence based on Deep Learning (DL) is opening new horizons in biomedical
research and promises to revolutionize the microscopy field. It is now transitioning from the …

Fluorescence microscopy enables the direct observation of previously hidden dynamic
processes of life, allowing profound insights into mechanisms of health and disease. However, …

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 with …

Herpes simplex virus type-1 (HSV-1) is one of the most widespread pathogens among
humans. Although the structure of HSV-1 has been extensively investigated, the precise …

Nascent proteins can be positioned rapidly at precise subcellular locations by local protein
synthesis (LPS) to facilitate localized growth responses. Axon arbor architecture, a major …

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

This work demonstrates and guides how to use a range of state-of-the-art artificial neural-networks
to analyse bacterial microscopy images using the recently developed …