Page 10 - Nature Methods News Today

Biophysicists at École Polytechnique Fédérale de Lausanne (EPFL) introduced a method to automate microscope control for imaging b

EPFL biophysicists have discovered a method to automate microscope control for imaging biological activities in great detail while minimizing stress on the sample.

Their approach, which mimics the physical forces exerted by immune cells as they crawl over host cells, could help scientists develop more effective cancer immunotherapies.

A cell's secrets can be divulged by its surface, decorated with tens to hundreds of thousands of molecules that help immune cells determine friend from foe.

Any cancer cell migrating from a tumor to set up shop elsewhere in the body will face a brutal attack from an immune system programmed to seek and destroy abnormal cells.

The team's method is based on isolating and analyzing exosomes from tears to study and validate biomarkers for different diseases.

Humans are good at looking at images and finding patterns or making comparisons. Look at a collection of dog photos, for example, and you can sort them by color, by ear size, by face shape, and so on. But could you compare them quantitatively? And perhaps more intriguingly, could a machine extract meaningful information from images that humans can't?

DeepMind and EMBL-EBI have used AI to predict the 3D structures of nearly all cataloged proteins.

Chalmers University label-free technique uses diffusion within nanofluidic channel.

The label-free characterization of biomolecules using nanofluidics is discussed in this article, exploring new advancements and future outlooks.