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WARNING. I am not a medical doctor nor an epidemiologist. The analysis I am sharing here is only for the data geeks around that are curious. Please follow advice of your national authorities and health system. NOTE: For a more comprehensive blog post, you might be interested in Tomas Pueyo’s website. A good discussion about
WARNING. I am not a medical doctor nor an epidemiologist. The analysis I am sharing here is only for the data geeks around that are curious. Please follow advice of your national authorities and health system.NOTE. This post was updated on 15/3. The data | The data repository for the 2019 Novel Coronavirus Visual Dashboard
Until not so long time ago, desk-rejections (the editor decision not to proceed with peer-review of a submitted manuscript) or even rejections of a manuscript after peer-review with very little substance for that decision, could get me angry, at least in private. These emotions can motivate to do better, but most of the time –
Once in a while I hear or read about dogmas as if they were models. I came to realize that some people might not be aware what a dogma is and before the (mis)use of this word spread even further, I hope you will agree to get it back into its original meaning. The Oxford
In fluorescence microscopy, colocalization is the spatial correlation between two different fluorescent labels. Often, we tag two proteins in a cell with distinct fluorescent labels, and we look if and where the staining localizes. When there is a “significant overlap” between the two signals we say that the two molecules “colocalize” and we might use
Is it a cat? Is it a dog? Is the average between a cat and a dog a real thing, perhaps a caog or a doat? Not all science should be based on single cell detection, and there are plenty of cases where single cell measurements are superfluous. However, too often we fail to appreciate the huge mistakes
What has been the impact of fluorescence lifetime imaging microscopy to science and to the biomedical community in particular? Is FLIM a niche technique, one of those techniques that always promise but never deliver? The top 10 most cited papers Excluding reviews, the list of the top 10 most cited papers, albeit representing a very
I am personally conflicted on this topic. I have recently started to work on machine learning and deep-learning specifically. Therefore, I am keen to explore the usefulness of these technologies, and I hope they will remove bottlenecks from our assays. My knowledge about CNNs is rather limited, even more so for SR and denoising applications.
Preamble In this assay, I describe reflections on biological systems and the nature of life. If you do not know it, the title is an obvious reference to the famous Schrodinger’s assay that motivated many physicists to create the branch of science that is Biophysics. In its current stage, these words are not written with the intent to
Which is the best model system for biomedical research? None, all model systems are wrong, but before I explain myself, let me tell you a story. One day I attended a retreat of the Molecular Physiology of the Brain Centre in Goettingen, and I genuinely had fun. Two things will remain in my memory. First,