Phase contrast-based phase retrieval: a bridge between qualitative phase contrast and quantitative phase imaging by phase retrieval algorithms

2020 ◽  
Vol 45 (20) ◽  
pp. 5812
Author(s):  
Nathaniel Hai ◽  
Joseph Rosen
Keyword(s):  
Phase Contrast ◽  
Phase Retrieval ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Retrieval Algorithms ◽  
Qualitative Phase

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

2018 ◽  
Vol 8 (11) ◽  
pp. 2147 ◽  
Author(s):  
Daniel Claus ◽  
Jörg Hennenlotter ◽  
Qi Liting ◽  
Giancarlo Pedrini ◽  
Arnulf Stenzl ◽  
...  
Keyword(s):  
Phase Retrieval ◽  
Imaging Techniques ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Temperature Drift ◽  
Retrieval Method ◽  
Computing Power ◽  
Quantitative Phase ◽  
Air Turbulence ◽  
Tissue Discrimination

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 minutes to a few seconds. However, most common quantitative phase imaging techniques are based on the interferometric principle, which makes them more prone to disturbing environmental influences, such as temperature drift and air turbulence. In the last decade, with the advance of computing power, many different iterative quantitative phase imaging techniques, which only require the recording of the diffracted wavefield, and therefore offer increased robustness towards environmental disturbances, have been proposed. These are particularly well-suited for the application outside the well-controlled lab environment such as an operating theatre. The optical performance of our developed iterative phase retrieval method based on variable wavefront curvature will be evaluated by reference to off-axis digital holography and applied for intraoperative discrimination of tissue.

scholarly journals Accurate quantitative phase imaging using generalized phase contrast

2008 ◽  
Vol 16 (4) ◽  
pp. 2740 ◽  
Author(s):  
Peter John Rodrigo ◽  
Darwin Palima ◽  
Jesper Glückstad
Keyword(s):  
Phase Contrast ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Multi-ATOM: Ultrahigh-throughput single-cell quantitative phase imaging with subcellular resolution

2019 ◽  
Author(s):  
Kelvin C. M. Lee ◽  
Andy K. S. Lau ◽  
Anson H. L. Tang ◽  
Maolin Wang ◽  
Aaron T. Y. Mok ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Large Scale ◽  
Phase Retrieval ◽  
Leukemic Cells ◽  
Phase Imaging ◽  
Label Free ◽  
Quantitative Phase Imaging ◽  
Phase Gradient ◽  
Quantitative Phase

AbstractA growing body of evidence has substantiated the significance of quantitative phase imaging (QPI) in enabling cost-effective and label-free cellular assay, which provides useful insights into understanding biophysical properties of cells and their roles in cellular functions. However, available QPI modalities are limited by the loss of imaging resolution at high throughput and thus run short of sufficient statistical power at the single cell precision to define cell identities in a large and heterogeneous population of cells – hindering their utility in mainstream biomedicine and biology. Here we present a new QPI modality, coined multi-ATOM that captures and processes quantitative label-free single-cell images at ultra-high throughput without compromising sub-cellular resolution. We show that multi-ATOM, based upon ultrafast phase-gradient encoding, outperforms state-of-the-art QPI in permitting robust phase retrieval at a QPI throughput of >10,000 cell/sec, bypassing the need for interferometry which inevitably compromises QPI quality under ultrafast operation. We employ multi-ATOM for large-scale, label-free, multi-variate, cell-type classification (e.g. breast cancer sub-types, and leukemic cells versus peripheral blood mononuclear cells) at high accuracy (>94%). Our results suggest that multi-ATOM could empower new strategies in large-scale biophysical single-cell analysis with applications in biology and enriching disease diagnostics.

Rapid quantitative phase imaging using phase retrieval for optical metrology of phase-shifting masks

2003 ◽  
Author(s):  
Norbert Kerwien ◽  
Alexander V. Tavrov ◽  
Jochen Kaufmann ◽  
Wolfgang Osten ◽  
Hans J. Tiziani
Keyword(s):  
Phase Retrieval ◽  
Phase Shifting ◽  
Optical Metrology ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase
Sign in / Sign up

Export Citation Format

Share Document