Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285011011> ?p ?o ?g. }
- W4285011011 endingPage "100253" @default.
- W4285011011 startingPage "100253" @default.
- W4285011011 abstract "Fine-scale molecular architecture is critical for nervous system and other biological functions. Methods to visualize these nanoscale structures would benefit from enhanced accessibility, throughput, and tissue compatibility. Here, we report RAIN-STORM, a rapid and scalable nanoscopic imaging optimization approach that improves three-dimensional visualization for subcellular targets in tissue at depth. RAIN-STORM uses conventional tissue samples and readily available reagents and is suitable for commercial instrumentation. To illustrate the efficacy of RAIN-STORM, we utilized the retina. We show that RAIN-STORM imaging is versatile and provide 3D nanoscopic data for over 20 synapse, neuron, glia, and vasculature targets. Sample preparation is also rapid, with a 1-day turnaround from tissue to image, and parameters are suitable for multiple tissue sources. Finally, we show that this method can be applied to clinical samples to reveal nanoscale features of human cells and synapses. RAIN-STORM thus paves the way for high-throughput studies of nanoscopic targets in tissue." @default.
- W4285011011 created "2022-07-12" @default.
- W4285011011 creator A5017189250 @default.
- W4285011011 creator A5029952067 @default.
- W4285011011 creator A5038203420 @default.
- W4285011011 creator A5062069054 @default.
- W4285011011 creator A5063248918 @default.
- W4285011011 creator A5075535834 @default.
- W4285011011 creator A5089849463 @default.
- W4285011011 date "2022-07-01" @default.
- W4285011011 modified "2023-10-15" @default.
- W4285011011 title "Rapid 3D-STORM imaging of diverse molecular targets in tissue" @default.
- W4285011011 cites W1145147272 @default.
- W4285011011 cites W1531953886 @default.
- W4285011011 cites W1592876708 @default.
- W4285011011 cites W1959369787 @default.
- W4285011011 cites W1971144253 @default.
- W4285011011 cites W1977783786 @default.
- W4285011011 cites W1991149845 @default.
- W4285011011 cites W1999818396 @default.
- W4285011011 cites W2032888420 @default.
- W4285011011 cites W2033788106 @default.
- W4285011011 cites W2036478141 @default.
- W4285011011 cites W2036787754 @default.
- W4285011011 cites W2038974389 @default.
- W4285011011 cites W2066521860 @default.
- W4285011011 cites W2069493993 @default.
- W4285011011 cites W2073798694 @default.
- W4285011011 cites W2089725545 @default.
- W4285011011 cites W2090132302 @default.
- W4285011011 cites W2093861156 @default.
- W4285011011 cites W2096472685 @default.
- W4285011011 cites W2096597598 @default.
- W4285011011 cites W2130905710 @default.
- W4285011011 cites W2134396482 @default.
- W4285011011 cites W2139396532 @default.
- W4285011011 cites W2139850065 @default.
- W4285011011 cites W2139974585 @default.
- W4285011011 cites W2145504425 @default.
- W4285011011 cites W2150192750 @default.
- W4285011011 cites W2156625231 @default.
- W4285011011 cites W2159817218 @default.
- W4285011011 cites W2160341948 @default.
- W4285011011 cites W2198355387 @default.
- W4285011011 cites W2280035032 @default.
- W4285011011 cites W2292423159 @default.
- W4285011011 cites W2298172813 @default.
- W4285011011 cites W2332195241 @default.
- W4285011011 cites W2406725268 @default.
- W4285011011 cites W2460281481 @default.
- W4285011011 cites W2494923364 @default.
- W4285011011 cites W2552881902 @default.
- W4285011011 cites W2560652388 @default.
- W4285011011 cites W2737510460 @default.
- W4285011011 cites W2799290404 @default.
- W4285011011 cites W2825859794 @default.
- W4285011011 cites W2889150696 @default.
- W4285011011 cites W2918530813 @default.
- W4285011011 cites W2952499863 @default.
- W4285011011 cites W2966372873 @default.
- W4285011011 cites W2987099152 @default.
- W4285011011 cites W3014898610 @default.
- W4285011011 cites W3024093442 @default.
- W4285011011 cites W3035479716 @default.
- W4285011011 cites W3048754617 @default.
- W4285011011 cites W3054069117 @default.
- W4285011011 cites W4231350070 @default.
- W4285011011 cites W4236895406 @default.
- W4285011011 cites W757278435 @default.
- W4285011011 cites W2755570245 @default.
- W4285011011 doi "https://doi.org/10.1016/j.crmeth.2022.100253" @default.
- W4285011011 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35880013" @default.
- W4285011011 hasPublicationYear "2022" @default.
- W4285011011 type Work @default.
- W4285011011 citedByCount "2" @default.
- W4285011011 countsByYear W42850110112022 @default.
- W4285011011 countsByYear W42850110112023 @default.
- W4285011011 crossrefType "journal-article" @default.
- W4285011011 hasAuthorship W4285011011A5017189250 @default.
- W4285011011 hasAuthorship W4285011011A5029952067 @default.
- W4285011011 hasAuthorship W4285011011A5038203420 @default.
- W4285011011 hasAuthorship W4285011011A5062069054 @default.
- W4285011011 hasAuthorship W4285011011A5063248918 @default.
- W4285011011 hasAuthorship W4285011011A5075535834 @default.
- W4285011011 hasAuthorship W4285011011A5089849463 @default.
- W4285011011 hasBestOaLocation W42850110111 @default.
- W4285011011 hasConcept C105306849 @default.
- W4285011011 hasConcept C111368507 @default.
- W4285011011 hasConcept C127313418 @default.
- W4285011011 hasConcept C154945302 @default.
- W4285011011 hasConcept C171250308 @default.
- W4285011011 hasConcept C192562407 @default.
- W4285011011 hasConcept C36464697 @default.
- W4285011011 hasConcept C39432304 @default.
- W4285011011 hasConcept C41008148 @default.
- W4285011011 hasConcept C45206210 @default.
- W4285011011 hasConcept C48044578 @default.
- W4285011011 hasConcept C77088390 @default.