AIMC Topic: Holography

Clear Filters Showing 61 to 65 of 65 articles

Pixel super-resolution for lens-free holographic microscopy using deep learning neural networks.

Optics express May 13, 2019
Lens-free holographic microscopy (LFHM) provides a cost-effective tool for large field-of-view imaging in various biomedical applications. However, due to the unit optical magnification, its spatial resolution is limited by the pixel size of the imag...
Neural Networks, Computer Machine Learning Algorithms Microscopy Image Enhancement Holography
View on PubMed DOI

Integrated pillar scatterers for speeding up classification of cell holograms.

Optics express Nov 27, 2017
The computational power required to classify cell holograms is a major limit to the throughput of label-free cell sorting based on digital holographic microscopy. In this work, a simple integrated photonic stage comprising a collection of silica pill...
Machine Learning Algorithms Holography Cell Physiological Phenomena
View on PubMed DOI

Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection.

Optics express Jun 26, 2017
We propose a fully automatic technique to obtain aberration free quantitative phase imaging in digital holographic microscopy (DHM) based on deep learning. The traditional DHM solves the phase aberration compensation problem by manually detecting the...
Neural Networks, Computer Machine Learning Algorithms Microscopy Holography
View on PubMed DOI

Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning.

Lab on a chip Nov 1, 2016
Monitoring yeast cell viability and concentration is important in brewing, baking and biofuel production. However, existing methods of measuring viability and concentration are relatively bulky, tedious and expensive. Here we demonstrate a compact an...
Machine Learning Time Factors Microscopy Cost-Benefit Analysis Saccharomyces cerevisiae Holography
View on PubMed DOI

Fast particle characterization using digital holography and neural networks.

Applied optics Jan 1, 2016
We propose using a neural network approach in conjunction with digital holographic microscopy in order to rapidly determine relevant parameters such as the core and shell diameter of coated, non-absorbing spheres. We do so without requiring a time-co...
Neural Networks, Computer Computer Simulation Leukocytes Holography
View on PubMed DOI
Popular Topics
Recent Journals