AIMC Topic: Quantitative Phase Imaging

Clear Filters Showing 1 to 6 of 6 articles

Intelligent Detection and Recognition of Marine Plankton by Digital Holography and Deep Learning.

Sensors (Basel, Switzerland) Apr 6, 2025
The detection, observation, recognition, and statistics of marine plankton are the basis of marine ecological research. In recent years, digital holography has been widely applied to plankton detection and recognition. However, the recording and reco...
Algorithms Animals Deep Learning Image Processing, Computer-Assisted Aquatic Organisms Plankton Holography Quantitative Phase Imaging
View on PubMed DOI

Real-time 3D tracking of swimming microbes using digital holographic microscopy and deep learning.

PloS one Apr 26, 2024
The three-dimensional swimming tracks of motile microorganisms can be used to identify their species, which holds promise for the rapid identification of bacterial pathogens. The tracks also provide detailed information on the cells' responses to ext...
Deep Learning Imaging, Three-Dimensional Bacteria Microscopy Holography Quantitative Phase Imaging
View on PubMed DOI

TIE-GANs: single-shot quantitative phase imaging using transport of intensity equation with integration of GANs.

Journal of biomedical optics Jan 30, 2024
SIGNIFICANCE: Artificial intelligence (AI) has become a prominent technology in computational imaging over the past decade. The expeditious and label-free characteristics of quantitative phase imaging (QPI) render it a promising contender for AI inve...
Artificial Intelligence Image Processing, Computer-Assisted Diagnostic Imaging Microspheres Quantitative Phase Imaging
View on PubMed DOI

Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network.

Nature communications May 24, 2025
Recent advances in deep learning-based image reconstruction techniques have led to significant progress in phase retrieval using digital in-line holographic microscopy (DIHM). However, existing phase retrieval methods have technical limitations in 3D...
Humans Neural Networks, Computer Algorithms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Microscopy Holography Quantitative Phase Imaging
View on PubMed DOI

Resolution-enhanced quantitative phase imaging of blood platelets using a generative adversarial network.

Journal of the Optical Society of America. A, Optics, image science, and vision Nov 1, 2024
We developed a new method to enhance the resolution of blood platelet aggregates imaged via quantitative phase imaging (QPI) using a Pix2Pix generative adversarial network (GAN). First, 1 µm polystyrene beads were imaged with low- and high-resolution...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Blood Platelets Quantitative Phase Imaging Generative Adversarial Networks
View on PubMed DOI

Deep-learning based flat-fielding quantitative phase contrast microscopy.

Optics express Mar 25, 2024
Quantitative phase contrast microscopy (QPCM) can realize high-quality imaging of sub-organelles inside live cells without fluorescence labeling, yet it requires at least three phase-shifted intensity images. Herein, we combine a novel convolutional ...
Animals Deep Learning Mice Mitochondria Lipid Droplets Quantitative Phase Imaging
View on PubMed DOI
Popular Topics
Recent Journals