Neural phase microscopy with metasurface optics for real-time and nanoscale quantitative phase imaging [PDF]
Quantitative phase imaging (QPI) enables non-invasive analysis of transparent specimens across biomedicine, materials science, and neuroscience. However, conventional hardware relies on complex architectures with multi-shot acquisition that preclude ...
Gun-Yeal Lee +6 more
doaj +2 more sources
Quantitative phase imaging via Fourier ptychographic microscopy [PDF]
Fourier ptychographic microscopy (FPM) is a recently developed imaging modality that uses angularly varying illumination to extend a system’s performance beyond the limit defined by its optical components.
Horstmeyer, Roarke +3 more
core +7 more sources
Analysis of Deep Learning-Based Phase Retrieval Algorithm Performance for Quantitative Phase Imaging Microscopy [PDF]
Quantitative phase imaging has been of interest to the science and engineering community and has been applied in multiple research fields and applications. Recently, the data-driven approach of artificial intelligence has been utilized in several optical
Sarinporn Visitsattapongse +3 more
doaj +2 more sources
Variational Hilbert Quantitative Phase Imaging [PDF]
AbstractUtilizing the refractive index as the endogenous contrast agent to noninvasively study transparent cells is a working principle of emerging quantitative phase imaging (QPI). In this contribution, we propose the Variational Hilbert Quantitative Phase Imaging (VHQPI)—end-to-end purely computational add-on module able to improve performance of a ...
Trusiak, Maciej +6 more
openaire +2 more sources
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging [PDF]
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 computational process that recovers a more informative image.
Fangshu Yang +5 more
openaire +3 more sources
Using an inexpensive module for Quantitative Phase Imaging [PDF]
We report on modular implementation of digital holography that we recently proposed. The module is designed such that it may be added to an existing brightfield microscope’s image port for digital holographic microscopy functionality. The proposed system
Xin Fan, Muddiman Ryan, Hennelly Bryan
doaj +1 more source
Quantitative phase imaging of arthropods [PDF]
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 and Absorption Contrast Imaging
We present an algorithm for coherent diffractive imaging with phaseless measurements. It treats the forward model as a combination of coherent and incoherent waves. The algorithm reconstructs absorption and phase contrast that quantifies the attenuation and the refraction of the waves propagating through an object.
Miguel Moscoso +3 more
openaire +3 more sources
Quantitative Phase Imaging Using Deep Learning-Based Holographic Microscope
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
Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm
Quantitative phase imaging (QPI) techniques are widely used for the label-free examining of transparent biological samples. QPI techniques can be broadly classified into interference-based and interferenceless methods.
Vijayakumar Anand +4 more
doaj +1 more source

