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Optimal point spread function design for 3D imaging.

ABSTRACT: To extract from an image of a single nanoscale object maximum physical information about its position, we propose and demonstrate a framework for pupil-plane modulation for 3D imaging applications requiring precise localization, including single-particle tracking and superresolution microscopy. The method is based on maximizing the information content of the system, by formulating and solving the appropriate optimization problem--finding the pupil-plane phase pattern that would yield a point spread function (PSF) with optimal Fisher information properties. We use our method to generate and experimentally demonstrate two example PSFs: one optimized for 3D localization precision over a 3???m depth of field, and another with an unprecedented 5???m depth of field, both designed to perform under physically common conditions of high background signals.

SUBMITTER: Shechtman Y

PROVIDER: S-EPMC4381866 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

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Optimal point spread function design for 3D imaging.

Shechtman Yoav Y Sahl Steffen J SJ Backer Adam S AS Moerner W E WE

Physical review letters 20140926 13

To extract from an image of a single nanoscale object maximum physical information about its position, we propose and demonstrate a framework for pupil-plane modulation for 3D imaging applications requiring precise localization, including single-particle tracking and superresolution microscopy. The method is based on maximizing the information content of the system, by formulating and solving the appropriate optimization problem--finding the pupil-plane phase pattern that would yield a point spr ...[more]

PMID: 25302889

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