scholarly journals Comparative study of quantitative phase imaging techniques for refractometry of optical waveguides

2018 ◽  
Vol 26 (13) ◽  
pp. 17498 ◽  
Author(s):  
Erik Bélanger ◽  
Jean-Philippe Bérubé ◽  
Bertrand de Dorlodot ◽  
Pierre Marquet ◽  
Réal Vallée
Keyword(s):  
Comparative Study ◽  
Optical Waveguides ◽  
Imaging Techniques ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative 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 Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications

Sensors ◽  
2013 ◽  
Vol 13 (4) ◽  
pp. 4170-4191 ◽  
Author(s):  
KyeoReh Lee ◽  
Kyoohyun Kim ◽  
Jaehwang Jung ◽  
JiHan Heo ◽  
Sangyeon Cho ◽  
...  
Keyword(s):  
Imaging Techniques ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

Quantitative phase imaging techniques for the study of Red Blood Cells

2016 ◽  
Author(s):  
Marco Antonio Sandoval Hernández ◽  
Noel-Ivan Toto-Arellano ◽  
L. A. Bonilla Jiménez ◽  
J. A. Martínez Domínguez ◽  
Luis García Lechuga ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Blood Cells ◽  
Imaging Techniques ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Visualization and label-free quantification of microfluidic mixing using quantitative phase imaging

2017 ◽  
Author(s):  
GwangSik Park ◽  
Dongsik Han ◽  
GwangSu Kim ◽  
Seungwoo Shin ◽  
Kyoohyun Kim ◽  
...  
Keyword(s):  
Chemical Engineering ◽  
Imaging Techniques ◽  
Quantitative Imaging ◽  
Quantitative Information ◽  
Microfluidic Channels ◽  
Phase Imaging ◽  
Label Free ◽  
Quantitative Phase Imaging ◽  
Microfluidic Mixing ◽  
Quantitative Phase

Microfluidic mixing plays a key role in various fields, including biomedicine and chemical engineering. To date, although various approaches for imaging microfluidic mixing have been proposed, they provide only quantitative imaging capability and require for exogenous labeling agents. Quantitative phase imaging techniques, however, circumvent these problems and offer label-free quantitative information about concentration maps of microfluidic mixing. We present the quantitative phase imaging of microfluidic mixing in various types of PDMS microfluidic channels with different geometries; the feasibility of the present method was validated by comparing it with the results obtained by theoretical calculation based on Fick’s law.

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