Chernoff information for creating maximally distinctive engineered point spread functions for multi-color single molecule imaging

Sanduni I. Fernando; Jason T. Martineau; M. Wayne Davis; Andrew Erickson; Benjamin C. Bromley; Erik M. Jorgensen; Jordan M. Gerton

doi:10.1117/12.3000580

12 March 2024 Chernoff information for creating maximally distinctive engineered point spread functions for multi-color single molecule imaging

Sanduni I. Fernando, Jason T. Martineau, M. Wayne Davis, Andrew Erickson, Benjamin C. Bromley, Erik M. Jorgensen, Jordan M. Gerton

Author Affiliations +

Proceedings Volume 12848, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXXI; 1284802 (2024) https://doi.org/10.1117/12.3000580
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Microscopists can minimize the crosstalk between multiple fluorescent channels by using maximally distinctive spectrally sensitive engineered point spread functions (PSFs). We introduce Chernoff Information as a figure of merit for creating such distinctive PSFs for single molecule localization microscopy and the average probability of error in trying to distinguish between PSFs as an evaluation metric for the distinctiveness of multi-color PSFs. This approach can be extended for an arbitrary combination of fluorophore emission spectra and a preferred number of phase-manipulation segments of a phase mask, even at low signal-to-noise ratios.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sanduni I. Fernando, Jason T. Martineau, M. Wayne Davis, Andrew Erickson, Benjamin C. Bromley, Erik M. Jorgensen, and Jordan M. Gerton "Chernoff information for creating maximally distinctive engineered point spread functions for multi-color single molecule imaging", Proc. SPIE 12848, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXXI, 1284802 (12 March 2024); https://doi.org/10.1117/12.3000580

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