Results 21 to 30 of about 381,395 (248)

Quantitative phase imaging of arthropods [PDF]

open access: yesJournal of Biomedical Optics, 2015
Classification of arthropods is performed by characterization of fine features such as setae and cuticles. An unstained whole arthropod specimen mounted on a slide can be preserved for many decades, but is difficult to study since current methods require sample manipulation or tedious image processing.
Shamira, Sridharan   +3 more
openaire   +2 more sources

Quantitative Phase Imaging Using Deep Learning-Based Holographic Microscope

open access: yesFrontiers in Physics, 2021
Digital holographic microscopy enables the measurement of the quantitative light field information and the visualization of transparent specimens. It can be implemented for complex amplitude imaging and thus for the investigation of biological samples ...
Jianglei Di   +5 more
doaj   +1 more source

Quantitative Phase Imaging of Thin Film Surface

open access: yesActa Physica Polonica A, 2021
In this study, the white light diffraction phase microscopy and the generalized Morse wavelet are proposed to achieve practical and precise measurement of a thin film surface. The white light diffraction phase microscopy provides low speckle noise and single-shot measurement, and thus it has been used to produce an image with interference fringes from ...
Tiryaki, E., Kocahan, O., Ozder, S.
openaire   +4 more sources

Virtual optofluidic time-stretch quantitative phase imaging

open access: yesAPL Photonics, 2020
Optofluidic time-stretch quantitative phase imaging (OTS-QPI) is a potent tool for biomedical applications as it enables high-throughput QPI of numerous cells for large-scale single-cell analysis in a label-free manner.
Haochen Yan   +7 more
doaj   +1 more source

Coherence-encoded synthetic aperture for super-resolution quantitative phase imaging

open access: yesAPL Photonics, 2022
Quantitative phase imaging (QPI) has quickly established its role in identifying rare events and screening in biomedicine or automated image data analysis using artificial intelligence.
Miroslav Ďuriš   +3 more
doaj   +1 more source

Variable Wavefront Curvature Phase Retrieval Compared to Off-Axis Holography and Its Useful Application to Support Intraoperative Tissue Discrimination

open access: yesApplied Sciences, 2018
Quantitative phase imaging can reveal morphological features without having to stain the biological sample. This property has important implications for intraoperative applications since the time spent during histopathology can be reduced from a few ...
Daniel Claus   +5 more
doaj   +1 more source

Real time blood testing using quantitative phase imaging. [PDF]

open access: yesPLoS ONE, 2013
We demonstrate a real-time blood testing system that can provide remote diagnosis with minimal human intervention in economically challenged areas. Our instrument combines novel advances in label-free optical imaging with parallel computing. Specifically,
Hoa V Pham   +4 more
doaj   +1 more source

Quantitative phase imaging of erythrocyte in epilepsy patients

open access: yesMicroscopy Research and Technique, 2020
AbstractThe present study focuses on the quantitative phase imaging of erythrocytes with the aim to compare the morphological differences between epilepsy patients under antiepileptic treatment, who have no other disease which may affect the erythrocyte morphology, and the healthy control group.
Aysun Ünal   +5 more
openaire   +4 more sources

Adaptive dynamic range shift (ADRIFT) quantitative phase imaging

open access: yesLight: Science & Applications, 2021
Quantitative phase imaging: Sensitivity boost A scheme that significantly enhances the sensitivity of quantitative phase imaging (QPI) could help benefit a range of applications in optical imaging and sensing.
Keiichiro Toda   +2 more
doaj   +1 more source

Motion-resolved quantitative phase imaging

open access: yesBiomedical Optics Express, 2018
The temporal resolution of quantitative phase imaging with Differential Phase Contrast (DPC) is limited by the requirement for multiple illumination-encoded measurements. This inhibits imaging of fast-moving samples. We present a computational approach to model and correct for non-rigid sample motion during the DPC acquisition in order to improve ...
Michael Kellman   +4 more
openaire   +4 more sources

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