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This content will become publicly available on June 25, 2025

Title: Diffusion Mapping with Diffractive Optical Elements for Periodically Patterned Photobleaching
Fourier transform-fluorescence recovery after photobleaching (FT-FRAP) using a diffractive optical element (DOE) is shown to support distance-dependent diffusion analysis in biologically relevant media. Integration of DOEs enables patterning of a dot array for parallel acquisition of point-bleach FRAP measurements at multiple locations across the field of view. In homogeneous media, the spatial harmonics of the dot array analyzed in the spatial Fourier transform domain yield diffusion recovery curves evaluated over specific well-defined distances. Relative distances for diffusive recovery in the spatial Fourier transform domain are directly connected to the 2D (h,k) Miller indices of the corresponding lattice lines. The distribution of the photobleach power across the entire field of view using a multidot array pattern greatly increases the overall signal power in the spatial FT-domain for signal-to-noise improvements. Derivations are presented for the mathematical underpinnings of FT-FRAP performed with 2D periodicity in the photobleach patterns. Retrofitting of FT-FRAP into instrumentation for high-throughput FRAP analysis (Formulatrix) supports automated analysis of robotically prepared 96-well plates for precise quantification of molecular mobility. Figures of merit are evaluated for FT-FRAP in analysis for both slow diffusion of fluorescent dyes in glassy polymer matrices spanning several days and model proteins and monoclonal antibodies within aqueous solutions recovering in matters of seconds. ■ INTRODUCTION  more » « less
Award ID(s):
1916691 2305178 2004046
PAR ID:
10522939
Author(s) / Creator(s):
; ; ; ; ; ; ; ; ;
Publisher / Repository:
Analytical Chemistry
Date Published:
Journal Name:
Analytical Chemistry
Volume:
96
Issue:
25
ISSN:
0003-2700
Page Range / eLocation ID:
10161 to 10169
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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