Schlieren Photographs from Holograms

Story, Joseph B.; Ballard, G. S.; Gibbons, R. H.

doi:10.1063/1.1708762

Cited by 9 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…27 Improved computational resources sped up the hologram reconstruction process for applications such as mapping the refractive index of cells. 66,67 Schlieren images were also generated from holography of patterns in inorganic materials, 68 which were later used to measure optical thickness. 69 DHM has been implemented in multiple hardware configurations.…”

Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

“…This led to digital holographic microscopy (DHM) of live neuron cells in culture with high phase accuracy . Improved computational resources sped up the hologram reconstruction process for applications such as mapping the refractive index of cells. , Schlieren images were also generated from holography of patterns in inorganic materials, which were later used to measure optical thickness …”

Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

See 1 more Smart Citation

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

et al. 2022

View full text Add to dashboard Cite

Quantitative phase imaging (QPI) is a label-free, wide-field microscopy approach with significant opportunities for biomedical applications. QPI uses the natural phase shift of light as it passes through a transparent object, such as a mammalian cell, to quantify biomass distribution and spatial and temporal changes in biomass. Reported in cell studies more than 60 years ago, ongoing advances in QPI hardware and software are leading to numerous applications in biology, with a dramatic expansion in utility over the past two decades. Today, investigations of cell size, morphology, behavior, cellular viscoelasticity, drug efficacy, biomass accumulation and turnover, and transport mechanics are supporting studies of development, physiology, neural activity, cancer, and additional physiological processes and diseases. Here, we review the field of QPI in biology starting with underlying principles, followed by a discussion of technical approaches currently available or being developed, and end with an examination of the breadth of applications in use or under development. We comment on strengths and shortcomings for the deployment of QPI in key biomedical contexts and conclude with emerging challenges and opportunities based on combining QPI with other methodologies that expand the scope and utility of QPI even further.

show abstract

Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

Section: Solving the Fundamental Problem Of Quantitative Phasementioning

confidence: 99%

Quantitative Phase Imaging: Recent Advances and Expanding Potential in Biomedicine

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Reconstruction of the test scene alone would allow Schlieren photographs to be made. 7 The ability to shift the relative phase of the two reconstructed beams may enable certain characteristics of the test scene to be more advantageously observed. In addition, this technique may prove useful in the investigation of transient phenomena which result in less than a single fringe being produced.…”

Section: Fig 2 Zero-order Interferogram Reconstructed From Dual-refmentioning

confidence: 99%