TY - JOUR
T1 - Quantitative phase imaging (QPI) in neuroscience
AU - Hu, Chenfei
AU - Popescu, Gabriel
N1 - Funding Information:
Manuscript received April 17, 2018; revised July 11, 2018; accepted September 3, 2018. Date of publication September 10, 2018; date of current version October 19, 2018. This work was supported in part by the funding support from National Science Foundation STC CBET 0939511, NSF BRAIN EAGER DBI 1450962, and IIP-1353368. (Corresponding author: Gabriel Popescu.) The authors are with the Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Champaign, IL 61801 USA (e-mail:,chenfei3@illinois; gpopescu@illinois.edu).
Publisher Copyright:
© 1995-2012 IEEE.
PY - 2019/2
Y1 - 2019/2
N2 - Quantitative phase imaging (QPI) is an emerging label-free modality that attracts significant interest in biomedicine in general and neuroscience in particular. Based on the principle of interferometry, QPI precisely maps the optical pathlength induced by the sample, and, thus, can visualize extremely transparent samples. The QPI field has grown rapidly in the past decade, and reliable instruments have been developed for in-depth biological studies. One particular figure of merit associated with QPI techniques describes the temporal phase sensitivity of instruments. Recently, several common path interferometry methods have been developed, which yield high stability and nanometer scale pathlength sensitivity. In neuroscience, QPI has shown unique capabilities in quantifying neural growth and dynamics in cell cultures, as well as high contrast imaging of brain tissue slices. In this paper, we review the principles of QPI, novel QPI technology, advances in data processing, and a number of exciting applications in neuroscience.
AB - Quantitative phase imaging (QPI) is an emerging label-free modality that attracts significant interest in biomedicine in general and neuroscience in particular. Based on the principle of interferometry, QPI precisely maps the optical pathlength induced by the sample, and, thus, can visualize extremely transparent samples. The QPI field has grown rapidly in the past decade, and reliable instruments have been developed for in-depth biological studies. One particular figure of merit associated with QPI techniques describes the temporal phase sensitivity of instruments. Recently, several common path interferometry methods have been developed, which yield high stability and nanometer scale pathlength sensitivity. In neuroscience, QPI has shown unique capabilities in quantifying neural growth and dynamics in cell cultures, as well as high contrast imaging of brain tissue slices. In this paper, we review the principles of QPI, novel QPI technology, advances in data processing, and a number of exciting applications in neuroscience.
KW - Biomedical optical imaging
KW - microscopy
KW - neuroscience
KW - phase measurement
KW - quantitative phase imaging
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U2 - 10.1109/JSTQE.2018.2869613
DO - 10.1109/JSTQE.2018.2869613
M3 - Article
AN - SCOPUS:85053136119
SN - 0792-1233
VL - 25
JO - IEEE Journal of Selected Topics in Quantum Electronics
JF - IEEE Journal of Selected Topics in Quantum Electronics
IS - 1
M1 - 8458413
ER -