Molecular self-assembly is pervasive in the formation of living and synthetic materials.
Knowledge gained from research into the principles of molecular self-assembly drives …

Insight into the function and regulation of biological molecules can often be obtained by
determining which cell structures and other molecules they localize with (ie. colocalization) …

The strip** reaction of lithium (Li) will greatly impact the cyclability and safety of Li-metal
batteries. However, Li pits' nucleation and growth, the origin of uneven strip**, are still …

We describe u-track3D, a software package that extends the versatile u-track framework
established in 2D to address the specific challenges of 3D particle tracking. First, we present …

A continuing challenge in quantitative cell biology is the accurate and robust 3D
segmentation of structures of interest from fluorescence microscopy images in an …

Highlights•Detect phytonematodes in soybean crops in Brazil using convolutional neural
network.•A new dataset with five main species of phytonematodes from Brazil's soybean …

Confocal microscopy is a powerful tool for the study of cellular receptor trafficking and
endocytosis. Unbiased and robust image analysis workflows are required for the …

We propose a non-iterative image deconvolution algorithm for data corrupted by Poisson or
mixed Poisson-Gaussian noise. Many applications involve such a problem, ranging from …

Advances in optical microscopy, biosensors and cell culturing technologies have
transformed live cell imaging. Thanks to these advances live cell imaging plays an …

Recent advances in molecular biology and fluorescence microscopy imaging have made
possible the inference of the dynamics of molecules in living cells. Such inference allows us …