High above Earth’s poles, intense electrical currents called electrojets flow through the upper atmosphere when auroras glow in the sky. In March, NASA plans to launch its EZIE (Electrojet Zeeman Imaging Explorer) mission to learn more about these powerful currents, in the hopes of ultimately mitigating the effects of such space weather for humans on Earth.

Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called “segmentation” and it enables a range of applications, such as analysing the reaction of cells to drug treatments, or comparing cell structures in different genotypes. It was already possible to carry out automatic segmentation of those biological structures but the dedicated methods only worked in specific conditions and adapting them to new conditions was costly. An international research team led by Göttingen University has now developed a method by retraining the existing AI-based software Segment Anything on over 17,000 microscopy images with over 2 million structures annotated by hand. Their new model is called Segment Anything for Microscopy and it can precisely segment images of tissues, cells and similar structures in a wide range of settings. To make it available to researchers and medical doctors, they have also created μSAM, a user-friendly software to “segment anything” in microscopy images. Their work was published in Nature Methods.

From integrated photonics to quantum information science, the ability to control light with electric fields — a phenomenon known as the electro-optic effect — supports vital applications such as light modulation and frequency transduction. These components rely on nonlinear optical materials, in which light waves can be manipulated by applying electric fields.

How can the loss of species and habitats in agricultural landscapes be stopped? Up to now, measures have mostly been implemented by individual farms. In contrast, agri-environmental measures that are planned across farms at landscape level offer greater potential for creating suitable habitats for different species as a mosaic in the landscape. However, successful landscape level approaches also require cooperation between farms and other stakeholders from local governments, politics and nature conservation. Researchers at the University of Göttingen have therefore identified essential key factors that facilitate successful agricultural-environmental collaboration at landscape level. The results of the study were published in People and Nature.

Daniel G. Graham joined the authors of “Metasploit: The Penetration Tester’s Guide” for the book’s second edition.