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Optimizing illumination in three-dimensional deconvolution microscopy for accurate refractive index tomography

Hervé Hugonnet, Moosung Lee, YongKeun Park

2021Optics Express65 citationsDOIOpen Access PDF

Abstract

In light transmission microscopy, axial scanning does not directly provide tomographic reconstruction of specimen. Phase deconvolution microscopy can convert a raw intensity image stack into a refractive index tomogram, the intrinsic sample contrast which can be exploited for quantitative morphological analysis. However, this technique is limited by reconstruction artifacts due to unoptimized optical conditions, which leads to a sparse and non-uniform optical transfer function. Here, we propose an optimization method based on simulated annealing to systematically obtain optimal illumination schemes that enable artifact-free deconvolution. The proposed method showed precise tomographic reconstruction of unlabeled biological samples.

Topics & Concepts

DeconvolutionOpticsMicroscopyTomographic reconstructionPhase-contrast imagingIterative reconstructionTomographyRefractive indexOptical transfer functionPoint spread functionDiffuse optical imagingMaterials scienceBlind deconvolutionComputer scienceComputer visionPhysicsPhase contrast microscopyDigital Holography and MicroscopyAdvanced Fluorescence Microscopy TechniquesOptical Coherence Tomography Applications