Work

Label-free high-resolution imaging of live cells with deconvolved spatial light interference microscopy

Year: 2010

Type: conference-paper

Abstract: Spatial light interference microscopy (SLIM) is a powerful new quantitative phase optical imaging technique that can be used for studying live cells without the need for exogenous contrast agents. This paper proposes a novel deconvolution-based approach to reconstructing SLIM data, which dramatically improves the visual quality of the images. The proposed deconvolution formulation is tailored to the physics of SLIM imaging of biological samples, and a new fast algorithm is designed for computationally-efficient image reconstruction in this setting. Simulation and experimental results demonstrate that deconvolution can reduce the width of the point-spread function by at least 20%, and can significantly improve the contrast of high-resolution features. Temporally-resolved SLIM imaging with the high spatial resolution enabled by deconvolution provides new opportunities for studying the dynamics of cellular and sub-cellular processes.

Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

DOI: 10.1109/iembs.2010.5627917

Authors: Justin P Haldar, Zhuo Wang, Gabriel Popescu, Zhi-Pei Liang

Institution: University of Illinois Urbana-Champaign

Language: English

Topic: Digital Holography and Microscopy

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources

Awards: G2976580299, G4366128196, G4411643199, Resource for MRI of Neurodegenerative Disorders, G573151204