Spatial transcriptomics — being able to read which RNA molecules sit where inside a tissue — has become a central tool for understanding how complex biological systems work, from healthy regeneration to cancer. Today's spatial-transcriptomics methods all rely, in one way or another, on a microscope: either to image the tissue directly, or to read out fluorescent or sequencing-by-imaging signals. This makes them slow, costly, two-dimensional in practice, and accessible only to laboratories with specialised optical infrastructure.
The qScope project asks a different question: what if a sequencer alone could replace the microscope? The idea is to amplify barcoded DNA copies of the molecules of interest directly inside a fixed tissue sample, let neighbouring amplicons fuse with one another locally, and then computationally reconstruct a three-dimensional spatial map of the original molecules from the resulting network of DNA-sequence neighbours. Because the technology grows in power alongside the exponential growth of sequencing capacity and computing, it has the potential to make deep, sub-cellular, three-dimensional spatial transcriptomics — and eventually spatial proteomics — broadly accessible to any laboratory with a wet-lab and access to a sequencer.
The expected impact is twofold. Scientifically, the project will deliver a generic platform for sequencing-based imaging that, in the longer term, can be used to study problems where current spatial methods fall short, including immunology and stem-cell biology. Translationally, by being substantially simpler and cheaper than microscopy-based alternatives, the technology has the potential to enable spatial molecular profiling far beyond today's well-resourced specialist laboratories.
