Fourier transform fluorescence recovery after photobleaching (FT-FRAP) is proposed and implemented for quantitatively evaluating diffusion and fractional recovery of proteins in complex matrices. Diffusion characterization of proteins is routinely performed for identification of aggregation and for interrogating molecular interactions with excipients. Conventional FRAP is noninvasive, has low sample volume requirements, and can support short measurement times by performing measurements over distances of only a few micrometers. However, conventional measurements are complicated by the need for precise knowledge of the bleach beam profile and potential errors due to sample inhomogeneity. In FT-FRAP, the time-dependent recovery in fluorescence due to diffusion is measured in the spatial Fourier domain, with substantial improvements in the signal-to-noise ratio, mathematical simplicity, representative sampling, and compatibility with multi-photon excitation. A custom nonlinear-optical beam-scanning microscope enabled patterned illumination for photobleaching a sample through two-photon excitation. The fluorescence recovery produced simple single-exponential decays in the spatial Fourier domain. Measurements in the spatial Fourier domain naturally remove bias from imprecise knowledge of the point spread function and reduce measurement variance from inhomogeneity within samples. Comparison between the fundamental FT frequency and higher harmonics has the potential to yield information about anomalous or spatially dependent diffusion with no increase in measurement time. Initial demonstrations of FT-FRAP using patterned illumination are presented, along with a critical discussion of the figures of merit and future developments.
[1]
Garth J. Simpson,et al.
Synchronous digitization for high dynamic range lock-in amplification in beam-scanning microscopy.
,
2014,
The Review of scientific instruments.
[2]
T. Meyvis,et al.
Fluorescence Recovery After Photobleaching: A Versatile Tool for Mobility and Interaction Measurements in Pharmaceutical Research
,
1999,
Pharmaceutical Research.
[3]
T. Tsay,et al.
Spatial Fourier analysis of video photobleaching measurements. Principles and optimization.
,
1991,
Biophysical journal.
[4]
R K Jain,et al.
Fluorescence photobleaching with spatial Fourier analysis: measurement of diffusion in light-scattering media.
,
1993,
Biophysical journal.
[5]
H. Yao,et al.
Anisotropic Solute Diffusion Tensor in Porcine TMJ Discs Measured by FRAP with Spatial Fourier Analysis
,
2010,
Annals of Biomedical Engineering.
[6]
M. Rudemo,et al.
Fluorescence recovery after photobleaching in material and life sciences: putting theory into practice
,
2015,
Quarterly Reviews of Biophysics.
[7]
J. H. van Hateren,et al.
Modelling the Power Spectra of Natural Images: Statistics and Information
,
1996,
Vision Research.
[8]
K. Braeckmans,et al.
Three-dimensional fluorescence recovery after photobleaching with the confocal scanning laser microscope.
,
2003,
Biophysical journal.
[9]
J. Neefjes,et al.
From fixed to FRAP: measuring protein mobility and activity in living cells
,
2001,
Nature Cell Biology.