Automated characterization of cellular morphology and subcellular expression patterns using spatial transcriptomics and deep neural networks KU Leuven
The development of spatial transcriptomics (ST) techniques, which were named “Nature’s method of the year 2020”, is revolutionizing the analysis of biological tissues. It is able to describe a heterogeneous cellular landscape, while retaining the spatial dimension. High-throughput ST techniques like MERFISH can characterize the cellular transcriptome at subcellular resolutions, however a high demand for computational techniques exists that ...