ArticleCommunications biology2022
Volumetric imaging of fast cellular dynamics with deep learning enhanced bioluminescence microscopy.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- RNA export through the nuclear pore complex: pathways, mechanisms, and imaging strategies.RNA biology · 2026Review
- Bright calcium-modulated bioluminescent indicators for activity imaging and red photon-assisted synaptic transmission.bioRxiv : the preprint server for biology · 2026Article
- Denoising for high-magnification bioluminescence imaging of cells by machine learning with physics-based noise modeling of EMCCD.Biophysics and physicobiology · 2026Article
- Article
- Creating coveted bioluminescence colors for simultaneous multi-color bioimaging.Science advances · 2025Article
- AI-based hardware and software tools in microscopy to boost research in immunology and virology.Frontiers in immunology · 2025Review
- Enhancing Bioluminescence Imaging of Cultured Tissue Explants Using Optical Telecompression.Sensors (Basel, Switzerland) · 2024Article
- Bioluminescence as a functional tool for visualizing and controlling neuronal activityNeurophotonics · 2024Article
- Method for optimizing imaging parameters to record neuronal and cellular activity at depth with bioluminescence.Neurophotonics · 2024Article
- Understanding neural circuit function through synaptic engineering.Nature reviews. Neuroscience · 2024Review
- Silicon-Based Avalanche Photodiodes: Advancements and Applications in Medical Imaging.Nanomaterials (Basel, Switzerland) · 2023Review
- Photon-based communication between two neurons in Caenorhabditis elegans.Nature methods · 2023Article
- Neural engineering with photons as synaptic transmitters.Nature methods · 2023Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioluminescence microscopy is an appealing alternative to fluorescence microscopy, because it does not depend on external illumination, and consequently does neither produce spurious background autofluorescence, nor perturb intrinsically photosensitive processes in living cells and animals. The low photon emission of known luciferases, however, demands long exposure times that are prohibitive for imaging fast biological dynamics. To increase the versatility of bioluminescence microscopy, we present an improved low-light microscope in combination with deep learning methods to image extremely photon-starved samples enabling subsecond exposures for timelapse and volumetric imaging. We apply our method to image subcellular dynamics in mouse embryonic stem cells, epithelial morphology during zebrafish development, and DAF-16 FoxO transcription factor shuttling from the cytoplasm to the nucleus under external stress. Finally, we concatenate neural networks for denoising and light-field deconvolution to resolve intracellular calcium dynamics in three dimensions of freely moving Caenorhabditis elegans.
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Registered trials
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