Next Article in Journal
Photonic Crystal Structures with Tunable Structure Color as Colorimetric Sensors
Next Article in Special Issue
Nonlinear Detection for a High Rate Extended Binary Phase Shift Keying System
Previous Article in Journal
Development of an Optical Gas Leak Sensor for Detecting Ethylene, Dimethyl Ether and Methane
Previous Article in Special Issue
Evaluation of Moisture-Related Attenuation Coefficient and Water Diffusion Velocity in Human Skin Using Optical Coherence Tomography
Sensors 2013, 13(4), 4170-4191; doi:10.3390/s130404170
Review

Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications

1
,
1
,
1
,
2
,
3
,
1
,
4
,
1
,
1
 and
1,*
Received: 19 February 2013 / Revised: 11 March 2013 / Accepted: 18 March 2013 / Published: 28 March 2013
(This article belongs to the Special Issue Medical & Biological Imaging)
View Full-Text   |   Download PDF [689 KB, 21 June 2014; original version 21 June 2014]   |   Browse Figures

Abstract

A cellular-level study of the pathophysiology is crucial for understanding the mechanisms behind human diseases. Recent advances in quantitative phase imaging (QPI) techniques show promises for the cellular-level understanding of the pathophysiology of diseases. To provide important insight on how the QPI techniques potentially improve the study of cell pathophysiology, here we present the principles of QPI and highlight some of the recent applications of QPI ranging from cell homeostasis to infectious diseases and cancer.
Keywords: microscopy; optical imaging; bio-photonics; quantitative phase imaging; cell physiology microscopy; optical imaging; bio-photonics; quantitative phase imaging; cell physiology
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
MDPI and ACS Style

Lee, K.; Kim, K.; Jung, J.; Heo, J.; Cho, S.; Lee, S.; Chang, G.; Jo, Y.; Park, H.; Park, Y. Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications. Sensors 2013, 13, 4170-4191.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert