Category
In early 2016, I was asked if I wished to speak at the discussion meeting “Conflict and Competition in Cellular Populations” in Bangalore, India organized by Dr Sandeep Krishna and Dr Sunil Laxman (NCBS). The title sounded so intriguing that I accepted without even checking the actual topic of the meeting. Then an adventure begun,
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
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.
Project outcome published in Biophysical Journal in 2010. Esposito A*, Choimet JB, Skepper JN, Mauritz JMA, Lew VL, Kaminski CF, Tiffert T, “Quantitative imaging of human red blood cells infected with Plasmodium falciparum“, Biophys. J., 99(3):953-960 Most papers have an untold backstory that we cannot reveal in it so to focus on a main message and
Project outcome published in PLoS ONE in 2013. Esposito A*, Popleteeva M, Venkitaraman AR, “Maximizing the biochemical resolving power in fluorescence microscopy”, PLOS ONE, 8(10):e77392 After my 2007 theoretical work on photon-economy and acquisition throughput, I occasionally worked on a more general framework attempting to falsify my hypothesis that multi-channel or multi-parametric imaging techniques can