Seeing in the Dark: Intelligent Fourier Light Field Imaging for Bioluminescence Microscopy
Krieg, M.; Morales-Curiel, L.-F.
10.1101/2025.10.13.680966 bioRxivShow abstract
Bioluminescence microscopy offers a uniquely non-invasive window into cellular dynamics, yet its use has traditionally been limited by the intrinsically low brightness of luciferases. The poor photon budget forces long exposures, preventing faithful visualization of rapid physiological processes, especially in three dimensions. To overcome this barrier, we developed a Fourier light field microscope coupled with deep-learning-based reconstruction that achieves sub-second volumetric bioluminescence imaging with significantly improved spatial resolution. This approach eliminates the speed-resolution trade-off of conventional light field methods and bypasses the need for slow classical deconvolution. We demonstrate its power by performing real-time 3D calcium imaging in freely moving Caenorhabditis elegans, and by quantifying cell dynamics within stem-cell-derived spheroids using fluorescently labeled nuclei and calcium dynamics in muscles and neurons. Together, these results establish our framework as a practical tool for dynamic, volumetric studies of living systems.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Minutes-timescale 3D isotropic imaging of entire organs at subcellular resolution by content-aware compressed-sensing light-sheet microscopy 98%
- Photon-free (s)CMOS camera characterization for artifact reduction in high- and super-resolution microscopy 97%
- Diesel2p mesoscope with dual independent scan engines for flexible capture of dynamics in distributed neural circuitry 97%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.