研究目的
To characterize the photophysical dynamics of Alexa Fluor 647 on bare and functionalized glass and ITO surfaces for super-resolution microscopy applications.
研究成果
Functionalized ITO surfaces are compatible with SMLM using conventional fluorophores and instrumentation, showing similar photophysical performance to functionalized glass surfaces. ITO surfaces offer advantages in functionalization chemistry and fluorophore performance in SMLM, making them an excellent choice for biosensor applications with single-molecule sensitivity and high throughput capacity.
研究不足
The study focused on Alexa Fluor 647 and may not generalize to other fluorophores. The effects of ITO's conductivity on dye behavior, especially for dyes close to the ITO surface, were not fully explored.
1:Experimental Design and Method Selection
The study involved collecting single-molecule kinetics data of isolated Alexa Fluor 647 molecules on bare and functionalized glass and ITO surfaces. A mathematical model accounting for two reversible dark states was developed to extract rate constants and fractions from the experimental data.
2:Sample Selection and Data Sources
Glass and ITO surfaces were functionalized with alkyl silane or alkyl phosphonic acid, respectively, with varying lengths of the linking alkyl chain. BSA-Alexa Fluor 647 was absorbed onto these surfaces and imaged using dSTORM microscopy.
3:List of Experimental Equipment and Materials
A TILL Photonics iMic TIRF system was used for imaging, including a 640 nm diode laser for illumination, a quad-band dichroic, a 100× Plan-apochromat 1.46 NA oil immersion objective, and an Andor iXon 897 EMCCD camera. Samples were imaged in a magnetic sample chamber under oxygen-scavenging STORM buffer.
4:Experimental Procedures and Operational Workflow
For each imaged region of interest, the active fluorophores were driven into a dark state with high excitation laser power for 1 min. Samples were then immediately imaged for 2000 frames at 100 ms exposure time with reduced laser power. Collected image stacks were saved as raw bytes with an associated Open Microscopy Environment compatible metadata file.
5:Data Analysis Methods
Custom scripts written in MATLAB performed the post-acquisition data analysis, including localization of spots in each image frame, watershed segmentation to identify regions each containing a single active fluorophore, and extraction of photophysical dynamics from segmented trajectories.
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