High-throughput fluorescence microscopy using multi-frame motion deblurring.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Jan 2020
Historique:
received: 26 09 2019
revised: 02 12 2019
accepted: 03 12 2019
entrez: 4 2 2020
pubmed: 6 2 2020
medline: 6 2 2020
Statut: epublish

Résumé

We demonstrate multi-frame motion deblurring for gigapixel wide-field fluorescence microscopy using fast slide scanning with coded illumination. Our method illuminates the sample with multiple pulses within each exposure, in order to introduce structured motion blur. By deconvolving this known motion sequence from the set of acquired measurements, we recover the object with up to 10× higher SNR than when illuminated with a single pulse (strobed illumination), while performing acquisition at 5× higher frame-rate than a comparable stop-and-stare method. Our coded illumination sequence is optimized to maximize the reconstruction SNR. We also derive a framework for determining when coded illumination is SNR-optimal in terms of system parameters such as source illuminance, noise, and motion stage specifications. This helps system designers to choose the ideal technique for high-throughput microscopy of very large samples.

Identifiants

pubmed: 32010517
doi: 10.1364/BOE.11.000281
pii: 376879
pmc: PMC6968757
doi:

Types de publication

Journal Article

Langues

eng

Pagination

281-300

Informations de copyright

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Déclaration de conflit d'intérêts

Z.P. and L.W. are co-founders of Spectral Coded Illumination Inc., which manufactures LED arrays similar to those presented in this work. The illumination devices shown here were not manufactured by Spectral Coded Illumination Inc.

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Auteurs

Zachary F Phillips (ZF)

Graduate Group in Applied Science and Technology, University of California, Berkeley, Berkeley, CA 94720-1700, USA.
These authors contributed equally to this work.

Sarah Dean (S)

Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720-1700, USA.
These authors contributed equally to this work.

Benjamin Recht (B)

Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720-1700, USA.

Laura Waller (L)

Graduate Group in Applied Science and Technology, University of California, Berkeley, Berkeley, CA 94720-1700, USA.
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720-1700, USA.

Classifications MeSH