Tobias Boothe

TL;DR: This work shows how content-aware image restoration based on deep learning extends the range of biological phenomena observable by microscopy by bypassing the trade-offs between imaging speed, resolution, and maximal light exposure that limit fluorescence imaging to enable discovery.

TL;DR: This work shows how deep learning enables biological observations beyond the physical limitations of microscopes, and illustrates how microscopy images can be restored even if 60-fold fewer photons are used during acquisition.

TL;DR: Iodixanol is presented as a non-toxic medium supplement that allows refractive index matching in live specimens and thus substantially improves image quality in live-imaged primary cell cultures, planarians, zebrafish and human cerebral organoids.

TL;DR: It is demonstrated that content-aware image restoration can drastically reduce the exposure time requirements in luminescence imaging, thus overcoming one of the major limitations of the technique.