Matches in SemOpenAlex for { <https://semopenalex.org/work/W4307296832> ?p ?o ?g. }
- W4307296832 endingPage "1660.e4" @default.
- W4307296832 startingPage "1649" @default.
- W4307296832 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." @default.
- W4307296832 created "2022-10-31" @default.
- W4307296832 creator A5020068410 @default.
- W4307296832 creator A5022073676 @default.
- W4307296832 creator A5028095121 @default.
- W4307296832 creator A5070473140 @default.
- W4307296832 creator A5081482981 @default.
- W4307296832 creator A5087742533 @default.
- W4307296832 date "2022-11-01" @default.
- W4307296832 modified "2023-09-30" @default.
- W4307296832 title "Multiplexed bioluminescence imaging with a substrate unmixing platform" @default.
- W4307296832 cites W1607922172 @default.
- W4307296832 cites W1970877840 @default.
- W4307296832 cites W1998892616 @default.
- W4307296832 cites W2014177709 @default.
- W4307296832 cites W2014464681 @default.
- W4307296832 cites W2041552578 @default.
- W4307296832 cites W2042852723 @default.
- W4307296832 cites W2053418066 @default.
- W4307296832 cites W2058922193 @default.
- W4307296832 cites W2085446806 @default.
- W4307296832 cites W2095846115 @default.
- W4307296832 cites W2100295737 @default.
- W4307296832 cites W2108236403 @default.
- W4307296832 cites W2110432682 @default.
- W4307296832 cites W2131003736 @default.
- W4307296832 cites W2133235059 @default.
- W4307296832 cites W2170405846 @default.
- W4307296832 cites W2181880142 @default.
- W4307296832 cites W2226712470 @default.
- W4307296832 cites W2399229449 @default.
- W4307296832 cites W2415046030 @default.
- W4307296832 cites W2425539341 @default.
- W4307296832 cites W2560450176 @default.
- W4307296832 cites W2579290679 @default.
- W4307296832 cites W2592162236 @default.
- W4307296832 cites W2737693768 @default.
- W4307296832 cites W2750925568 @default.
- W4307296832 cites W2769051821 @default.
- W4307296832 cites W2781789112 @default.
- W4307296832 cites W2788051494 @default.
- W4307296832 cites W2790971681 @default.
- W4307296832 cites W2807897743 @default.
- W4307296832 cites W2908670068 @default.
- W4307296832 cites W2917063166 @default.
- W4307296832 cites W2921232109 @default.
- W4307296832 cites W2923300855 @default.
- W4307296832 cites W2923923573 @default.
- W4307296832 cites W2924273050 @default.
- W4307296832 cites W2937203694 @default.
- W4307296832 cites W2940773142 @default.
- W4307296832 cites W2975580645 @default.
- W4307296832 cites W2976364395 @default.
- W4307296832 cites W2980221203 @default.
- W4307296832 cites W2980933082 @default.
- W4307296832 cites W2996182169 @default.
- W4307296832 cites W3025520212 @default.
- W4307296832 cites W3041242267 @default.
- W4307296832 cites W3047375921 @default.
- W4307296832 cites W3048734127 @default.
- W4307296832 cites W3116968623 @default.
- W4307296832 cites W3125484908 @default.
- W4307296832 cites W3136826821 @default.
- W4307296832 cites W3136888598 @default.
- W4307296832 cites W3137813344 @default.
- W4307296832 cites W3139098935 @default.
- W4307296832 cites W3162665609 @default.
- W4307296832 cites W3203803698 @default.
- W4307296832 cites W4228997517 @default.
- W4307296832 cites W4283314987 @default.
- W4307296832 doi "https://doi.org/10.1016/j.chembiol.2022.10.004" @default.
- W4307296832 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36283402" @default.
- W4307296832 hasPublicationYear "2022" @default.
- W4307296832 type Work @default.
- W4307296832 citedByCount "4" @default.
- W4307296832 countsByYear W43072968322023 @default.
- W4307296832 crossrefType "journal-article" @default.
- W4307296832 hasAuthorship W4307296832A5020068410 @default.
- W4307296832 hasAuthorship W4307296832A5022073676 @default.
- W4307296832 hasAuthorship W4307296832A5028095121 @default.
- W4307296832 hasAuthorship W4307296832A5070473140 @default.
- W4307296832 hasAuthorship W4307296832A5081482981 @default.
- W4307296832 hasAuthorship W4307296832A5087742533 @default.
- W4307296832 hasConcept C104317684 @default.
- W4307296832 hasConcept C111335760 @default.
- W4307296832 hasConcept C161997846 @default.
- W4307296832 hasConcept C185592680 @default.
- W4307296832 hasConcept C186060115 @default.
- W4307296832 hasConcept C18903297 @default.
- W4307296832 hasConcept C19275194 @default.
- W4307296832 hasConcept C199360897 @default.
- W4307296832 hasConcept C2777289219 @default.
- W4307296832 hasConcept C2781309008 @default.
- W4307296832 hasConcept C2909536089 @default.
- W4307296832 hasConcept C41008148 @default.
- W4307296832 hasConcept C43521106 @default.
- W4307296832 hasConcept C5176359 @default.
- W4307296832 hasConcept C54009773 @default.