Numerical analysis of DarkFocus metric for autofocusing in lensless digital in-line holographic microscopy

Maciej Trusiak; Mikołaj Rogalski; Julianna Winnik

doi:10.1364/BODA.2021.DTu3A.6

Biophotonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper DTu3A.6
•https://doi.org/10.1364/BODA.2021.DTu3A.6

Numerical analysis of DarkFocus metric for autofocusing in lensless digital in-line holographic microscopy

Maciej Trusiak, Mikołaj Rogalski, and Julianna Winnik

Bio-Optics: Design and Application 2021

Washington, DC United States
12–16 April 2021
ISBN: 978-1-943580-85-9

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Computational Optics (DTu3A)

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M. Trusiak, M. Rogalski, and J. Winnik, "Numerical analysis of DarkFocus metric for autofocusing in lensless digital in-line holographic microscopy," in Biophotonics Congress 2021, C. Boudoux, K. Maitland, C. Hendon, M. Wojtkowski, K. Quinn, M. Schanne-Klein, N. Durr, D. Elson, F. Cichos, L. Oddershede, V. Emiliani, O. Maragò, S. Nic Chormaic, N. Pégard, S. Gibbs, S. Vinogradov, M. Niedre, K. Samkoe, A. Devor, D. Peterka, P. Blinder, and E. Buckley, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper DTu3A.6.

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Abstract

Autofocusing is a vital step of in-line digital holographic microscopy enabling large-volume label-free quantitative imaging. We numerically evaluate the axial resolution of novel dark-field based metric in comparison with Tamura-of-Gradient method.

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