On-axis digital holographic microscopy: Current trends and algorithms

Madsen, Andreas Erik Gejl; Panah, Mohammad Aryaee; Larsen, Peter E.; Nielsen, Frank; Glückstad, Jesper

doi:10.1016/j.optcom.2023.129458

Cited by 4 publications

(1 citation statement)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even for machine learning methods wherein aberration correction is not the explicit goal, the end-to-end design of certain network architectures ensures implicit correction, as long as these corrections are either constant between training and inference, or general enough during training to be useful for correcting arbitrary aberrations. For instance, several strides have been made in ML-aided holographic reconstruction [78][79][80][81][82][83][84][85][86][87] in which either raw holograms or back-propagated holograms are processed in custom trained networks to generate more accurate, aberration-reduced, reconstructions.…”

Section: Holotile Aberration Correctionmentioning

confidence: 99%

HoloTile light engine: new digital holographic modalities and applications

Glückstad,

Gejl Madsen

2024

Rep. Prog. Phys.

Self Cite

View full text Add to dashboard Cite

HoloTile is a patented computer generated holography approach with the aim of reducing the speckle noise caused by the overlap of the non-trivial physical extent of the point spread function in Fourier holographic systems from adjacent frequency components. By combining tiling of phase-only of rapidly generated sub-holograms with a PSF-shaping phase profile, each frequency component - or output ``pixel" - in the Fourier domain is shaped to a desired non-overlapping profile. In this paper, we show the high-resolution, speckle-reduced reconstructions that can be achieved with HoloTile, as well as present new HoloTile modalities, including an expanded list of PSF options with new key properties. In addition, we discuss numerous applications for which HoloTile, its rapid hologram generation, and the new PSF options may be an ideal fit, including optical trapping and manipulation of particles, volumetric additive printing, information transfer and quantum communication.

show abstract

Section: Holotile Aberration Correctionmentioning

confidence: 99%

HoloTile light engine: new digital holographic modalities and applications

Glückstad,

Gejl Madsen

2024

Rep. Prog. Phys.

Self Cite

View full text Add to dashboard Cite

show abstract

Gabor-type holography solved analytically for complex-valued phase disks

Glückstad,

Madsen

2024

Optics Communications

View full text Add to dashboard Cite

ACNet: a twin-image removal network based on CNN with attention mechanism in in-line lensless digital holographic microscopy

Quan,

Shi,

Kong

2024

Advanced Optical Manufacturing Technologies and Applications 2024; And Fourth International Forum of Young Scientists on Advanc

View full text Add to dashboard Cite

Transparent objects are extensively utilized across various aspects, yet their non-destructive optical measurement remains challenging. In-line lensless digital holography has emerged as an efficient and precise technique for detecting transparent objects, with the advantages of simpler device requirements and more effective utilization of the detector limited spacebandwidth product. However, the presence of twin-image significantly degrades the quality of the reconstructed images. Conventional approaches to mitigating twin-image require intricate hardware configurations or time-consuming algorithms. In this paper, we proposed a new network called Attention mechanism in Convolutional neural Network (ACNet), which provides a fast and efficient deep learning solution for twin image suppression. The proposed approach utilized numerically generated datasets for training and a convolutional neural network (CNN) was employed with an attention mechanism to perform twin image removal. Simulation results demonstrate that this method effectively eliminates twin image interference in phase recovery, thereby enhances the reconstruction quality of in-line digital holography. The present work has great potentials for wider applications in digital holography.

show abstract

On-axis digital holographic microscopy: Current trends and algorithms

Cited by 4 publications

References 51 publications

HoloTile light engine: new digital holographic modalities and applications

HoloTile light engine: new digital holographic modalities and applications

Gabor-type holography solved analytically for complex-valued phase disks

ACNet: a twin-image removal network based on CNN with attention mechanism in in-line lensless digital holographic microscopy

Contact Info

Product

Resources

About