Image estimation accounting for point-spread function depth variation in three-dimensional fluorescence microscopy

Chrysanthe Preza; Jose-Angel Conchello

doi:10.1117/12.481116

9 July 2003 Image estimation accounting for point-spread function depth cariation in three-dimensional fluorescence microscopy

Chrysanthe Preza, Jose-Angel Conchello

Author Affiliations +

Proceedings Volume 4964, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing X; (2003) https://doi.org/10.1117/12.481116
Event: Biomedical Optics, 2003, San Jose, CA, United States

Abstract

An approximate model for optical-sectioning microscopy describing depth-varying imaging is developed. The model incorporates changes in the point-spread function due to refractive index mismatch between the immersion medium and the specimen, which causes spherical aberration that worsens with increasing depth under the coverslip. Comparison of model predictions to measured images from a bead phantom shows that the approximate model captures the main features in the data. The model presented in this paper is the first step towards depth-variant image estimation for optical-sectioning microscopy. An expectation maximization algorithm for maximum-likelihood restoration based on this model is also presented.

Citation Download Citation

Chrysanthe Preza and Jose-Angel Conchello "Image estimation accounting for point-spread function depth cariation in three-dimensional fluorescence microscopy", Proc. SPIE 4964, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing X, (9 July 2003); https://doi.org/10.1117/12.481116

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