ArticleJournal of visualized experiments : JoVE2010
Measuring diffusion coefficients via two-photon fluorescence recovery after photobleaching.
Article in Journal of visualized experiments : JoVE, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- A two-photon FRAP protocol to measure the stereociliary membrane diffusivity in rat cochlear hair cells.STAR protocols · 2021Article
- Presynaptic alpha-synuclein aggregation in a mouse model of Parkinson's disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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Abstract
Multi-fluorescence recovery after photobleaching is a microscopy technique used to measure the diffusion coefficient (or analogous transport parameters) of macromolecules, and can be applied to both in vitro and in vivo biological systems. Multi-fluorescence recovery after photobleaching is performed by photobleaching a region of interest within a fluorescent sample using an intense laser flash, then attenuating the beam and monitoring the fluorescence as still-fluorescent molecules from outside the region of interest diffuse in to replace the photobleached molecules. We will begin our demonstration by aligning the laser beam through the Pockels Cell (laser modulator) and along the optical path through the laser scan box and objective lens to the sample. For simplicity, we will use a sample of aqueous fluorescent dye. We will then determine the proper experimental parameters for our sample including, monitor and bleaching powers, bleach duration, bin widths (for photon counting), and fluorescence recovery time. Next, we will describe the procedure for taking recovery curves, a process that can be largely automated via LabVIEW (National Instruments, Austin, TX) for enhanced throughput. Finally, the diffusion coefficient is determined by fitting the recovery data to the appropriate mathematical model using a least-squares fitting algorithm, readily programmable using software such as MATLAB (The Mathworks, Natick, MA).
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Registered trials
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