Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
MAI-SIM: Machine learning assisted interferometric structured illumination microscopy for everybody
Here, we present Machine learning Assisted, Interferometric Structured Illumination Microscopy, MAI-SIM, as an easy-to-implement method for fast live cell super-resolution imaging in multiple colours.
Laplacian Renormalization group for heterogeneous networks
Complex networks have been introduced as the best theoretical framework to model a large variety of physical, biological, and social systems where an intertwined pattern of interactions couples many elements.
Mendelian randomization can lead to flawed conclusions about the effects of vitamin C
A Mendelian randomization (MR) study concluded that vitamin C was not effective for pneumonia. We showed that the MR study corresponds to the comparison of two groups with similar vitamin C levels of 47.3 vs. 52.7 μM, whereas the plasma vitamin C level range in the population is from 10 to 100 μM.
CoViD-19 and China, the story could repeat itself!
Following the draconian measures already put in place throughout the SARS-CoV-2 pandemic, a very relaxed approach has been recently adopted by Chinese health authorities in order to stop the people's angry protests against the "zero Covid" strategy.
Turing patterns under a periodically forced feed
Alan Turing proposed one of the most influential theories of morphogenesis, in which a system of diffusive and reactive chemicals can produce stationary (and other types) spatial patterns. We explored the effect of periodic feeding of the reactive chemicals on pattern development and stabilty.
