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Excited to release the first preprint from my lab: a new framework to convert existing NGS tube-reactions into spatial techniques using compressed sensing principles and a probabilistic algorithm that we call #Tomographer biorxiv.org/cgi/content/sh…
In the lab we are thrilled about possibilities offered by #spatialomics methods, and a bit impatient... it will take a bit until methods for the different omics are available. That's when we had the idea of using already available low-input protocols to obtain spatial information
The core idea is sampling a tissue by cutting thin slices at several orientations so as to obtain a high throughput readout from each of the strips. The measurements are then used to reconstruct the original localization of the signal by a maximum a posteriori estimation 
