Photobleaching reduction in modulated super-resolution microscopy. (16th October 2020)

• Record Type: Journal Article
• Authors: Ghithan, Jafar H; Noel, Jennifer M; Roussel, Thomas J; McCall, Maureen A; Alphenaar, Bruce W; Mendes, Sergio B
• Is Part Of: Microscopy. Volume 70:Number 3(2021)
• Page Start: 278
• Page End: 288
• Publication Date: 2020-10-16
• Subjects: fluorescence nanoscopy -- STED microscopy -- super-resolution -- imaging -- laser -- photobleaching; Microscopy -- Periodicals; 502.825
• DOI: 10.1093/jmicro/dfaa062
• Languages: English
• ISSNs: 2050-5698

Abstract

Abstract: Important breakthroughs in far-field imaging techniques have been made since the first demonstrations of stimulated emission depletion (STED) microscopy. To date, the most straightforward and widespread deployment of STED microscopy has used continuous wave (CW) laser beams for both the excitation and depletion of fluorescence emission. A major drawback of the CW STED imaging technique has been photobleaching effects due to the high optical power needed in the depletion beam to reach sub-diffraction resolution. To overcome this hurdle, we have applied a synchronous detection approach based on modulating the excitation laser beam, while keeping the depletion beam at CW operation, and frequency filtering the collected signal with a lock-in amplifier to record solely the super-resolved fluorescence emission. We demonstrate here that such approach allows an important reduction in the optical power of both laser beams that leads to measurable decreases in photobleaching effects in STED microscopy. We report super-resolution images with relatively low powers for both the excitation and depletion beams. In addition, typical unwanted scattering effects and background signal generated from the depletion beam, which invariably arises from mismatches in refractive index in the material composing the sample, are largely reduced by using the modulated STED approach. The capability of acquiring super-resolution images with relatively low power is quite relevant for studying a variety of samples, but particularly important for biological species as exemplified in this work.