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 …

Understanding intratumoral heterogeneity—the molecular variation among cells within a
tumor—promises to address outstanding questions in cancer biology and improve the …

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 …

Multimodal astrocyte–neuron communications govern brain circuitry assembly and function.
For example, through rapid glutamate release, astrocytes can control excitability, plasticity …

Components of transcriptional machinery are selectively partitioned into specific
condensates, often mediated by protein disorder, yet we know little about how this specificity …

Background Imaging data contains a substantial amount of information which can be difficult
to evaluate by eye. With the expansion of high throughput microscopy methodologies …

Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response
to treatment. Known prognostic factors for this disease include homologous recombination …

Macrophages have a key role in sha** the tumour microenvironment (TME), tumour
immunity and response to immunotherapy, which makes them an important target for cancer …

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 …