AIMC Topic: Holography

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TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.

Medical image analysis Jun 26, 2019
We propose a new deep learning approach for medical imaging that copes with the problem of a small training set, the main bottleneck of deep learning, and apply it for classification of healthy and cancer cell lines acquired by quantitative phase ima...
Humans Algorithms Equipment Design Microscopy Holography Cell Tracking Neoplasms Deep Learning Image Processing, Computer-Assisted
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Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 22, 2019
Robust and reproducible profiling of cell lines is essential for phenotypic screening assays. The goals of this study were to determine robust and reproducible optical phase signatures of cell lines for classification with machine learning and to cor...
Machine Learning Cell Line, Tumor Image Processing, Computer-Assisted Cell Movement Cell Line Mesoderm Humans Epithelial Cells Microscopy Chemotaxis Holography
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Deep learning-based super-resolution in coherent imaging systems.

Scientific reports Mar 8, 2019
We present a deep learning framework based on a generative adversarial network (GAN) to perform super-resolution in coherent imaging systems. We demonstrate that this framework can enhance the resolution of both pixel size-limited and diffraction-lim...
Image Enhancement Holography Vaginal Smears Equipment Design Microscopy Neural Networks, Computer Software Female Lung Deep Learning Papanicolaou Test Humans
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Partially spatially coherent digital holographic microscopy and machine learning for quantitative analysis of human spermatozoa under oxidative stress condition.

Scientific reports Mar 5, 2019
Semen quality assessed by sperm count and sperm cell characteristics such as morphology and motility, is considered to be the main determinant of men's reproductive health. Therefore, sperm cell selection is vital in assisted reproductive technology ...
Humans Oxidative Stress Image Processing, Computer-Assisted Cell Movement Machine Learning Male Hydrogen Peroxide Microscopy Holography Dose-Response Relationship, Drug Semen Analysis Spermatozoa
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Deep transfer learning-based hologram classification for molecular diagnostics.

Scientific reports Nov 19, 2018
Lens-free digital in-line holography (LDIH) is a promising microscopic tool that overcomes several drawbacks (e.g., limited field of view) of traditional lens-based microcopy. However, extensive computation is required to reconstruct object images fr...
Holography Neural Networks, Computer Image Processing, Computer-Assisted Pathology, Molecular Machine Learning Image Enhancement Algorithms Tumor Cells, Cultured Biomarkers, Tumor Humans Neoplasms Deep Learning
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Machine learning-based in-line holographic sensing of unstained malaria-infected red blood cells.

Journal of biophotonics May 11, 2018
Accurate and immediate diagnosis of malaria is important for medication of the infectious disease. Conventional methods for diagnosing malaria are time consuming and rely on the skill of experts. Therefore, an automatic and simple diagnostic modality...
Humans Machine Learning Scattering, Radiation Holography Malaria Light Erythrocytes
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Computational Sensing of Staphylococcus aureus on Contact Lenses Using 3D Imaging of Curved Surfaces and Machine Learning.

ACS nano Mar 13, 2018
We present a cost-effective and portable platform based on contact lenses for noninvasively detecting Staphylococcus aureus, which is part of the human ocular microbiome and resides on the cornea and conjunctiva. Using S. aureus-specific antibodies a...
Staphylococcal Infections Microscopy Holography Contact Lenses Machine Learning Humans Staphylococcus aureus Equipment Design
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Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Dec 28, 2017
The noninvasive, fast acquisition of quantitative phase maps using digital holographic microscopy (DHM) allows tracking of rapid cellular motility on transparent substrates. On two-dimensional surfaces in vitro, MDA-MB-231 cancer cells assume several...
Microscopy, Fluorescence Cell Cycle Humans Cell Line, Tumor Cell Nucleus Cell Adhesion Machine Learning Actins Holography Cell Movement Breast Neoplasms Neoplasm Invasiveness
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Holographic deep learning for rapid optical screening of anthrax spores.

Science advances Aug 4, 2017
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...
Humans Machine Learning Data Analysis Bacillus anthracis Microscopy Algorithms Anthrax Spores, Bacterial Deep Learning Holography Image Processing, Computer-Assisted
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Holography, machine learning, and cancer cells.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Apr 24, 2017
Machine Learning Microscopy Holography
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