Easy-to-use image analysis software enables single cell quantitation of cell types and division rates in complex 3D tissues including living Drosophila brains, mouse embryos and Zebrafish organoids.
A novel phenotypic screening platform based on immunofluorescent imaging of histone modifications enables accurate identification of cell fates and environmental perturbations.
The presented primary epithelial acinus-based platform for studying interactions between normal and malignant cells will enable in depth analysis of the tumor initiation process on a molecular level.
A computational strategy for extracting representative numerical features from 3D microscopy data enables in-depth quantitative analysis of cell and tissue organization through machine learning-driven data integration and context-guided visualization.
MotionTracking is freely available software that can generate multi-scale geometrical models of mammalian tissue and perform quantitative analysis of tissue architecture.
Machine learning in conjunction with super-resolution imaging allows for the first time to quantitatively analyse large and heterogenous virus samples structure at a high throughput and specificity.
New reconstruction methods are used to create a publicly available dense reconstruction of the neurons and chemical synapses of central brain of Drosophila, with analysis of its graph properties.
Machine learning and experimental tests of receiver bias identify signal components critical to correct species classification in guenons, linking face pattern diversity to selection for species discrimination.
Peripheral appearance models emphasising pooling processes that depend on retinal eccentricity will instead need to explore input-dependent grouping and segmentation.
