Image correlation microscopy for uniform illumination

• Published in: Journal of microscopy (Oxford) 2010-01, Vol.237 (1), p.39-50
• Main Authors: GABORSKI, T.R., SEALANDER, M.N., EHRENBERG, M., WAUGH, R.E., MCGRATH, J.L.
• Format: Article
• Language: English
• Subjects: Algorithms; Cell; cluster; Computer Simulation; Diffusion; Fluorescent Dyes - chemistry; Humans; Image Processing, Computer-Assisted; L-Selectin - ultrastructure; leukocyte; Lighting; Lymphocyte Function-Associated Antigen-1 - ultrastructure; Microscopy, Fluorescence - methods; Monte Carlo Method; Motion; Neutrophils - ultrastructure; receptor; Receptor Aggregation; Sensitivity and Specificity; Time Factors
• ISSN: 0022-2720; 1365-2818
• DOI: 10.1111/j.1365-2818.2009.03300.x

Summary Image cross‐correlation microscopy is a technique that quantifies the motion of fluorescent features in an image by measuring the temporal autocorrelation function decay in a time‐lapse image sequence. Image cross‐correlation microscopy has traditionally employed laser‐scanning microscopes because the technique emerged as an extension of laser‐based fluorescence correlation spectroscopy. In this work, we show that image correlation can also be used to measure fluorescence dynamics in uniform illumination or wide‐field imaging systems and we call our new approach uniform illumination image correlation microscopy. Wide‐field microscopy is not only a simpler, less expensive imaging modality, but it offers the capability of greater temporal resolution over laser‐scanning systems. In traditional laser‐scanning image cross‐correlation microscopy, lateral mobility is calculated from the temporal de‐correlation of an image, where the characteristic length is the illuminating laser beam width. In wide‐field microscopy, the diffusion length is defined by the feature size using the spatial autocorrelation function. Correlation function decay in time occurs as an object diffuses from its original position. We show that theoretical and simulated comparisons between Gaussian and uniform features indicate the temporal autocorrelation function depends strongly on particle size and not particle shape. In this report, we establish the relationships between the spatial autocorrelation function feature size, temporal autocorrelation function characteristic time and the diffusion coefficient for uniform illumination image correlation microscopy using analytical, Monte Carlo and experimental validation with particle tracking algorithms. Additionally, we demonstrate uniform illumination image correlation microscopy analysis of adhesion molecule domain aggregation and diffusion on the surface of human neutrophils.