Prof. Michael Murrell's group (lead author Zachary Gao Sun, graduate student in physics) in collaboration with Prof. Garegin Papoian's group from the University of Maryland at College Park has found ...

A research team at Kumamoto University has developed a deep learning-based method for analyzing the cytoskeleton—the structural framework inside cells—more accurately and efficiently than ever before.

A microscopic image shows small red centers connected by networks of branched and straight filaments. The team mixed purified actin monomers with precise concentrations of two nucleation-promoting ...

The deep learning-based segmentation method, applied to confocal microscopy images of cortical microtubules in tobacco BY-2 cells, significantly improves density measurement accuracy compared to ...

Researchers have built a synthetic-cell platform that can be chemically adjusted in real time, sidestepping a long-standing ...

A research team led by Potsdam-based bioinformatician Prof. Dr Zoran Nikoloski has developed a computational approach and an accompanying tool that enables the detailed analysis and reconstruction of ...

Researchers developed GraFT, a computational tool that maps and tracks actin filaments over time, enabling precise analysis ...