Presentation + Paper
16 March 2023 EDoF-Miniscope: a computational miniscope for extended depth-of-field neural imaging
Joseph Greene, Yujia Xue, Jeffrey Alido, Alex Matlock, Guorong Hu, Kivilcim Kiliç, Ian Davison, Lei Tian
Author Affiliations +
Abstract
We demonstrate an extended-depth-of-field miniscope (EDoF-Miniscope) which utilizes an optimized binary diffractive optical element (DOE) to achieve a 2.8x axial elongation in twin foci when integrated on the pupil plane. We optimize our DOE through a genetic algorithm, which utilizes a Fourier optics forward model to consider the native aberrations of the primary gradient refractive index (GRIN) lens, optical property of the submersion media, the geometric effects of the target fluorescent sources and axial intensity loss from tissue scattering to create a robust EDoF. We demonstrate that our platform achieves high contrast signals that can be recovered through a simple filter across 5-μm and 10-μm beads embedded in scattering phantoms, and fixed mouse brain samples.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph Greene, Yujia Xue, Jeffrey Alido, Alex Matlock, Guorong Hu, Kivilcim Kiliç, Ian Davison, and Lei Tian "EDoF-Miniscope: a computational miniscope for extended depth-of-field neural imaging", Proc. SPIE 12388, Adaptive Optics and Wavefront Control for Biological Systems IX, 1238808 (16 March 2023); https://doi.org/10.1117/12.2648565
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KEYWORDS
Scattering

Diffractive optical elements

Brain

Genetic algorithms

Point spread functions

Depth of field

GRIN lenses

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