BACKGROUND INFORMATION: Single molecule-based super-resolution methods have become important tools to study nanoscale structures in cell biology. However, the complexity of multi-colour applications has prevented them from being widely used amongst biologists. Direct stochastic optical reconstruction microscopy (dSTORM) offers a simple way to perform single molecule super-resolution imaging without the need for an activator fluorophore and compatible with many conventionally used fluorophores. The search for the ideal dye pairs suitable for dual-colour dSTORM has been compromised by the fact that fluorophores spectrally apt for dual-colour imaging differ with respect to the optimal buffer conditions required for photoswitching and the generation of prolonged non-fluorescent (OFF) states. RESULTS: We present a novel variant of dSTORM that combines advantages of spectral demixing with the buffer compatible blinking properties of red emitting carbocyanine dyes, spectral demixing dSTORM (SD-dSTORM). In contrast to previously published work, SD-dSTORM requires reduced laser power and fewer imaging frames for the faithful reconstruction of super-resolved biological nanostructures. In addition, SD-dSTORM allows the use of commercially available rather than custom-made probes and does not rely on potentially error-prone cross-talk correction, thus allowing reliable co-localisation. CONCLUSIONS: SD-dSTORM presents a significant advance towards user-friendly single molecule localisation-based super-resolution microscopy combining advantages of state-of-the-art methodologies to perform fast, reliable and efficient multi-colour dSTORM.
BACKGROUND INFORMATION: Single molecule-based super-resolution methods have become important tools to study nanoscale structures in cell biology. However, the complexity of multi-colour applications has prevented them from being widely used amongst biologists. Direct stochastic optical reconstruction microscopy (dSTORM) offers a simple way to perform single molecule super-resolution imaging without the need for an activator fluorophore and compatible with many conventionally used fluorophores. The search for the ideal dye pairs suitable for dual-colour dSTORM has been compromised by the fact that fluorophores spectrally apt for dual-colour imaging differ with respect to the optimal buffer conditions required for photoswitching and the generation of prolonged non-fluorescent (OFF) states. RESULTS: We present a novel variant of dSTORM that combines advantages of spectral demixing with the buffer compatible blinking properties of red emitting carbocyanine dyes, spectral demixing dSTORM (SD-dSTORM). In contrast to previously published work, SD-dSTORM requires reduced laser power and fewer imaging frames for the faithful reconstruction of super-resolved biological nanostructures. In addition, SD-dSTORM allows the use of commercially available rather than custom-made probes and does not rely on potentially error-prone cross-talk correction, thus allowing reliable co-localisation. CONCLUSIONS: SD-dSTORM presents a significant advance towards user-friendly single molecule localisation-based super-resolution microscopy combining advantages of state-of-the-art methodologies to perform fast, reliable and efficient multi-colour dSTORM.
Authors: László Barna; Barna Dudok; Vivien Miczán; András Horváth; Zsófia I László; István Katona Journal: Nat Protoc Date: 2015-12-30 Impact factor: 13.491
Authors: Pablo A Gómez-García; Erik T Garbacik; Jason J Otterstrom; Maria F Garcia-Parajo; Melike Lakadamyali Journal: Proc Natl Acad Sci U S A Date: 2018-12-03 Impact factor: 11.205
Authors: Christiane Wetzel; Simone Pifferi; Cristina Picci; Caglar Gök; Diana Hoffmann; Kiran K Bali; André Lampe; Liudmila Lapatsina; Raluca Fleischer; Ewan St John Smith; Valérie Bégay; Mirko Moroni; Luc Estebanez; Johannes Kühnemund; Jan Walcher; Edgar Specker; Martin Neuenschwander; Jens Peter von Kries; Volker Haucke; Rohini Kuner; James F A Poulet; Jan Schmoranzer; Kate Poole; Gary R Lewin Journal: Nat Neurosci Date: 2016-12-12 Impact factor: 24.884