ArticleScience advances2017
Holographic deep learning for rapid optical screening of anthrax spores.
Article in Science advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
53 citing papers in PubMed, 186 citations in OpenAlex.
- smDeepFLUOR: single-molecule deep learning fluorescence classification.Nature communications · 2026Article
- Recent Advances and Applications of Holographic 3D Display.Research (Washington, D.C.) · 2026Review
- Diffraction-informed deep learning for molecular-specific holograms of breast cancer cells.APL bioengineering · 2025Article
- Artificial Intelligence Methods in Infection Biology Research.Methods in molecular biology (Clifton, N.J.) · 2025Article
- AI-Powered Clinical Decision Support Systems in Disease Diagnosis, Treatment Planning, and Prognosis: A Systematic Review.Medical journal of the Islamic Republic of Iran · 2025Review
- Quantitative phase imaging techniques for measuring scattering properties of cells and tissues: a review-part I.Journal of biomedical optics · 2024Review
- Quantitative phase imaging techniques for measuring scattering properties of cells and tissues: a review-part II.Journal of biomedical optics · 2024Review
- Holotomography and atomic force microscopy: a powerful combination to enhance cancer, microbiology and nanotoxicology research.Discover nano · 2024Review
- EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool.Communications biology · 2024Article
- Towards ultrafast quantitative phase imaging via differentiable microscopy [Invited].Biomedical optics express · 2024Article
- Toward the novel AI tasks in infection biology.mSphere · 2024Review
- Real-time simultaneous refractive index and thickness mapping of sub-cellular biology at the diffraction limit.Communications biology · 2024Article
- On the use of deep learning for phase recovery.Light, science & applications · 2024Review
- Artificial intelligence-enabled quantitative phase imaging methods for life sciences.Nature methods · 2023Review
- Quantitative phase imaging for characterization of single cell growth dynamics.Lasers in medical science · 2023Review
- Viewing life without labels under optical microscopes.Communications biology · 2023Review
- Multi-Class Classification and Multi-Output Regression of Three-Dimensional Objects Using Artificial Intelligence Applied to Digital Holographic Information.Sensors (Basel, Switzerland) · 2023Article
- Highly sensitive quantitative phase microscopy and deep learning aided with whole genome sequencing for rapid detection of infection and antimicrobial resistance.Frontiers in microbiology · 2023Article
- COVID-19 screening with digital holographic microscopy using intra-patient probability functions of spatio-temporal bio-optical attributes.Biomedical optics express · 2022Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Establishing early warning systems for anthrax attacks is crucial in biodefense. Despite numerous studies for decades, the limited sensitivity of conventional biochemical methods essentially requires preprocessing steps and thus has limitations to be used in realistic settings of biological warfare. We present an optical method for rapid and label-free screening of
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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.