Evaluating autofocusing metrics in digital lensless holographic microscopy

Maria J. Lopera; Jorge García-Sucerquia; Yunfeng Nie; Heidi Ottevaere; Carlos Trujillo

doi:10.1117/12.3017078

18 June 2024 Evaluating autofocusing metrics in digital lensless holographic microscopy

Maria J. Lopera, Jorge García-Sucerquia, Yunfeng Nie, Heidi Ottevaere, Carlos Trujillo

Author Affiliations +

Proceedings Volume 12998, Optics, Photonics, and Digital Technologies for Imaging Applications VIII; 129980N (2024) https://doi.org/10.1117/12.3017078
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

This study proposes a novel approach in response to the persistent challenge of achieving precise autofocus in Digital Lensless Holographic Microscopy (DLHM). It involves employing an enhanced Bluestein algorithm to simulate DLHM holograms under a variety of conditions, spanning amplitude-only, phase-only, and amplitude-phase objects. These simulated holograms are used to assess the performance of autofocus metrics, including the Dubois and Spectral Dubois metrics, gradient and variance-based approaches, and lastly a learning-based model. By considering the variety of sample types and geometrical configurations, this study delves into the robustness and limitations of these metrics across diverse scenarios. This research reveals different performances depending on sample characteristics, offering valuable insights into selecting the most suitable autofocus metric, which is a demanding step in practical DLHM applications.

Conference Presentation

Citation Download Citation

Maria J. Lopera, Jorge García-Sucerquia, Yunfeng Nie, Heidi Ottevaere, and Carlos Trujillo "Evaluating autofocusing metrics in digital lensless holographic microscopy ", Proc. SPIE 12998, Optics, Photonics, and Digital Technologies for Imaging Applications VIII, 129980N (18 June 2024); https://doi.org/10.1117/12.3017078

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