Browse the search results

Implementation and characterisation of plasma-focused ion beams for volumetric imaging of cryogenically preserved cells and tissues for ultrastructural examination in their native state.

The application of deep learning fills a major gap in host–pathogen research providing for unbiased, multi-module high-throughput image analysis.

A broadly applicable deep-learning based method that recognizes rod-shaped bacteria of virtually any species in complex bacterial communities.

A noisy cell-intrinsic timer provides positional information for the segmentation clock, modulated by extrinsic factors such as FGF.

A new tool for three-dimensional exploration of adult zebrafish neuroanatomy.

Automated segmentation of neurons and identification of synapses in electron micrographs is significantly improved by using simple modifications to chemical fixation protocols that preserve extracellular space in the brain.

Combining high-resolution imaging with automated image segmentation and supervised machine learning achieves accurate cellular feature extraction and automated cell type recognition in a large-scale developmental process.

MotionTracking is freely available software that can generate multi-scale geometrical models of mammalian tissue and perform quantitative analysis of tissue architecture.

The DIAMonDS can automatically and sequentially identify time points of multiple life cycle events such as pupariation, eclosion, and death in individual flies at high temporal resolution and large scale.