This webinar will demonstrate how participants can extract more information from their fluorescence images by combining computational super-resolution microscopy (SRRF) with fluorescence fluctuation techniques using only existing, freely available ImageJ plugins and widely existing setups of commercially available TIRF/SPIM microscope and cameras (EMCCDs or sCMOS). For that purpose, the webinar will discuss imaging fluorescence correlation spectroscopy and number and brightness analysis and how it benefits from computational super-resolution techniques.
Is it possible to extract from a single measurement structure with a resolution below 100 nm and with dynamics on the millisecond scale?
Given the huge amounts of data and the size of single data sets (~GB) is data treatment in real time possible?
What is the advantage of combining multiple fluorescence techniques in a single measurement?
Can one optimise the signal-to-noise ration of multiple fluorescence techniques simultaneously in a single measurement?
What is the maximum information content of an image?