ArticleScientific reports2016
Sparsity-based multi-height phase recovery in holographic microscopy.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 109 citations in OpenAlex.
- Extended Field of View and Resolution Enhancement in Lensless Digital Holography.Sensors (Basel, Switzerland) · 2026Article
- OpenLM: an open-source pixel super-resolution platform for lens-free microscopy with applications in bacterial growth monitoring and deep learning-based bacterial detection.Lab on a chip · 2025Article
- Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network.Nature communications · 2025Article
- Multi-culture label-free quantitative cell migration sensing with single-cell precision.Biomedical optics express · 2025Article
- Advances in Portable Optical Microscopy Using Cloud Technologies and Artificial Intelligence for Medical Applications.Sensors (Basel, Switzerland) · 2024Review
- Quantitative phase imaging verification in large field-of-view lensless holographic microscopy via two-photon 3D printing.Scientific reports · 2024Article
- Quantitative phase imaging based on holography: trends and new perspectives.Light, science & applications · 2024Review
- Off-axis digital lensless holographic microscopy based on spatially multiplexed interferometry.Journal of biomedical optics · 2024Article
- Roadmap on computational methods in optical imaging and holography [invited].Applied physics. B, Lasers and optics · 2024Review
- On the use of deep learning for phase recovery.Light, science & applications · 2024Review
- Multispectral in-line hologram reconstruction with aberration compensation applied to Gram-stained bacteria microscopy.Scientific reports · 2023Article
- Lens Free Holographic Imaging for Urinary Tract Infection Screening.IEEE transactions on bio-medical engineering · 2023Article
- Multi-Illumination Single-Holographic-Exposure Lensless Fresnel (MISHELF) Microscopy: Principles and Biomedical Applications.Sensors (Basel, Switzerland) · 2023Review
- Review
- Adaptive sparse reconstruction for lensless digital holography via PSF estimation and phase retrieval.Optics express · 2022Article
- Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization.Light, science & applications · 2022Article
- Pixel Super-Resolution Phase Retrieval for Lensless On-Chip Microscopy via Accelerated Wirtinger Flow.Cells · 2022Article
- Holographic optical field recovery using a regularized untrained deep decoder network.Scientific reports · 2021Article
- Real-time Jones phase microscopy for studying transparent and birefringent specimens.Optics express · 2020Article
- Early detection and classification of live bacteria using time-lapse coherent imaging and deep learning.Light, science & applications · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
High-resolution imaging of densely connected samples such as pathology slides using digital in-line holographic microscopy requires the acquisition of several holograms, e.g., at >6-8 different sample-to-sensor distances, to achieve robust phase recovery and coherent imaging of specimen. Reducing the number of these holographic measurements would normally result in reconstruction artifacts and loss of image quality, which would be detrimental especially for biomedical and diagnostics-related applications. Inspired by the fact that most natural images are sparse in some domain, here we introduce a sparsity-based phase reconstruction technique implemented in wavelet domain to achieve at least 2-fold reduction in the number of holographic measurements for coherent imaging of densely connected samples with minimal impact on the reconstructed image quality, quantified using a structural similarity index. We demonstrated the success of this approach by imaging Papanicolaou smears and breast cancer tissue slides over a large field-of-view of ~20 mm
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.