AIMC Topic: Holography

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Pattern Recognition of Holographic Image Library Based on Deep Learning.

Journal of healthcare engineering Feb 18, 2022
The final loss function in the deep learning neural network is composed of other functions in the network. Due to the existence of a large number of non-linear functions such as activation functions in the network, the entire deep learning model pres...
Image Processing, Computer-Assisted Holography Reproducibility of Results Deep Learning Neural Networks, Computer Algorithms Humans
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Speeding up reconstruction of 3D tomograms in holographic flow cytometry deep learning.

Lab on a chip Feb 15, 2022
Tomographic flow cytometry by digital holography is an emerging imaging modality capable of collecting multiple views of moving and rotating cells with the aim of recovering their refractive index distribution in 3D. Although this modality allows us ...
Neural Networks, Computer Flow Cytometry Microscopy Holography Deep Learning Image Processing, Computer-Assisted
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Single Cell Analysis of Stored Red Blood Cells Using Ultra-High Throughput Holographic Cytometry.

Cells Sep 17, 2021
Holographic cytometry is introduced as an ultra-high throughput implementation of quantitative phase imaging of single cells flowing through parallel microfluidic channels. Here, the approach was applied for characterizing the morphology of individua...
Machine Learning Algorithms Humans Flow Cytometry Erythrocytes Holography Single-Cell Analysis Image Processing, Computer-Assisted
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Quantitative particle agglutination assay for point-of-care testing using mobile holographic imaging and deep learning.

Lab on a chip Sep 14, 2021
Particle agglutination assays are widely adopted immunological tests that are based on antigen-antibody interactions. Antibody-coated microscopic particles are mixed with a test sample that potentially contains the target antigen, as a result of whic...
Holography Agglutination Point-of-Care Testing Humans Microscopy Deep Learning
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Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Aug 10, 2021
Quantitative phase imaging (QPI) is an emerging label-free technique that produces images containing morphological and dynamical information without contrast agents. Unfortunately, the phase is wrapped in most imaging system. Phase unwrapping is the ...
Algorithms Cells, Cultured Organoids Intestine, Small Deep Learning Holography Animals Mice Image Processing, Computer-Assisted Tissue Culture Techniques Microscopy
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Towards real-time photorealistic 3D holography with deep neural networks.

Nature Mar 10, 2021
The ability to present three-dimensional (3D) scenes with continuous depth sensation has a profound impact on virtual and augmented reality, human-computer interaction, education and training. Computer-generated holography (CGH) enables high-spatio-a...
Optical Tweezers Augmented Reality Microscopy Holography Computer Graphics Datasets as Topic Printing, Three-Dimensional Color Virtual Reality Time Factors Neural Networks, Computer Deep Learning Animals Computer Systems
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Learning Diatoms Classification from a Dry Test Slide by Holographic Microscopy.

Sensors (Basel, Switzerland) Nov 7, 2020
Diatoms are among the dominant phytoplankters in marine and freshwater habitats, and important biomarkers of water quality, making their identification and classification one of the current challenges for environmental monitoring. To date, taxonomy o...
Holography Neural Networks, Computer Diatoms Machine Learning Microscopy
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CATCH: Characterizing and Tracking Colloids Holographically Using Deep Neural Networks.

The journal of physical chemistry. B Feb 25, 2020
In-line holographic microscopy provides an unparalleled wealth of information about the properties of colloidal dispersions. Analyzing one colloidal particle's hologram with the Lorenz-Mie theory of light scattering yields the particle's three-dimens...
Colloids Holography Deep Learning
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Deep learning-based color holographic microscopy.

Journal of biophotonics Aug 1, 2019
We report a framework based on a generative adversarial network that performs high-fidelity color image reconstruction using a single hologram of a sample that is illuminated simultaneously by light at three different wavelengths. The trained network...
Prostate Image Processing, Computer-Assisted Male Microscopy Color Humans Holography Deep Learning
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Magnetically Driven Undulatory Microswimmers Integrating Multiple Rigid Segments.

Small (Weinheim an der Bergstrasse, Germany) Jul 17, 2019
Mimicking biological locomotion strategies offers important possibilities and motivations for robot design and control methods. Among bioinspired microrobots, flexible microrobots exhibit remarkable efficiency and agility. These microrobots tradition...
Locomotion Holography Microtechnology Biosensing Techniques Lasers Robotics
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