ArticleCell chemical biology2022
Multiplexed bioluminescence imaging with a substrate unmixing platform.
Article in Cell chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- PrismaLuc luciferase enables tunable near-infrared bioluminescence forRSC chemical biology · 2026Article
- Real-time bioluminescence imaging of mycobacteria with Akaluc: a novel method for monitoring drug efficacy.Scientific reports · 2026Article
- Article
- OptimizediScience · 2024Article
- Destabilized reporters for background-subtracted, chemically-gated, and multiplexed deep-tissue imaging.Chemical science · 2024Article
- Luminescence Probes in Bio-Applications: From Principle to Practice.Biosensors · 2024Review
- Bright Red Bioluminescence from Semisynthetic NanoLuc (sNLuc).ACS chemical biology · 2024Article
- Red-Shifted Coumarin Luciferins for Improved Bioluminescence Imaging.Journal of the American Chemical Society · 2023Article
- Caged luciferins enable rapid multicomponent bioluminescence imaging.Photochemistry and photobiologyArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Bioluminescent tools can illuminate cellular features in whole organisms. Multi-component tracking remains challenging, though, owing to a lack of well-resolved probes and long imaging times. To address the need for more rapid, quantitative, and multiplexed bioluminescent readouts, we developed an analysis pipeline featuring sequential substrate administration and serial image acquisition. Light output from each luciferin is layered on top of the previous image, with minimal delay between substrate delivery. A MATLAB algorithm was written to analyze bioluminescent images generated from the rapid imaging protocol and deconvolute (i.e., unmix) signals from luciferase-luciferin pairs. Mixtures comprising three to five luciferase reporters were readily distinguished in under 50 min; this same experiment would require days using conventional workflows. We further showed that the algorithm can be used to accurately quantify luciferase levels in heterogeneous mixtures. Based on its speed and versatility, the multiplexed imaging platform will expand the scope of bioluminescence technology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.