Phase correlation imaging of unlabeled cell dynamics

Lihong Ma, Gannavarpu Rajshekhar, Ru Wang, Basanta Bhaduri, Shamira Sridharan, Mustafa Mir, Arindam Chakraborty, Rajashekar Iyer, Supriya Prasanth, Larry Millet, Martha U. Gillette, Gabriel Popescu

Research output: Contribution to journalArticle

Abstract

We present phase correlation imaging (PCI) as a novel approach to study cell dynamics in a spatially-resolved manner. PCI relies on quantitative phase imaging time-lapse data and, as such, functions in label-free mode, without the limitations associated with exogenous markers. The correlation time map outputted in PCI informs on the dynamics of the intracellular mass transport. Specifically, we show that PCI can extract quantitatively the diffusion coefficient map associated with live cells, as well as standard Brownian particles. Due to its high sensitivity to mass transport, PCI can be applied to studying the integrity of actin polymerization dynamics. Our results indicate that the cyto-D treatment blocking the actin polymerization has a dominant effect at the large spatial scales, in the region surrounding the cell. We found that PCI can distinguish between senescent and quiescent cells, which is extremely difficult without using specific markers currently. We anticipate that PCI will be used alongside established, fluorescence-based techniques to enable valuable new studies of cell function.

Original languageEnglish (US)
Article number32702
JournalScientific reports
Volume6
DOIs
StatePublished - Sep 12 2016

Fingerprint

Polymerization
Actins
Time-Lapse Imaging
Fluorescence

ASJC Scopus subject areas

  • General

Cite this

Ma, L., Rajshekhar, G., Wang, R., Bhaduri, B., Sridharan, S., Mir, M., ... Popescu, G. (2016). Phase correlation imaging of unlabeled cell dynamics. Scientific reports, 6, [32702]. https://doi.org/10.1038/srep32702

Phase correlation imaging of unlabeled cell dynamics. / Ma, Lihong; Rajshekhar, Gannavarpu; Wang, Ru; Bhaduri, Basanta; Sridharan, Shamira; Mir, Mustafa; Chakraborty, Arindam; Iyer, Rajashekar; Prasanth, Supriya; Millet, Larry; Gillette, Martha U.; Popescu, Gabriel.

In: Scientific reports, Vol. 6, 32702, 12.09.2016.

Research output: Contribution to journalArticle

Ma, L, Rajshekhar, G, Wang, R, Bhaduri, B, Sridharan, S, Mir, M, Chakraborty, A, Iyer, R, Prasanth, S, Millet, L, Gillette, MU & Popescu, G 2016, 'Phase correlation imaging of unlabeled cell dynamics', Scientific reports, vol. 6, 32702. https://doi.org/10.1038/srep32702
Ma L, Rajshekhar G, Wang R, Bhaduri B, Sridharan S, Mir M et al. Phase correlation imaging of unlabeled cell dynamics. Scientific reports. 2016 Sep 12;6. 32702. https://doi.org/10.1038/srep32702
Ma, Lihong ; Rajshekhar, Gannavarpu ; Wang, Ru ; Bhaduri, Basanta ; Sridharan, Shamira ; Mir, Mustafa ; Chakraborty, Arindam ; Iyer, Rajashekar ; Prasanth, Supriya ; Millet, Larry ; Gillette, Martha U. ; Popescu, Gabriel. / Phase correlation imaging of unlabeled cell dynamics. In: Scientific reports. 2016 ; Vol. 6.
@article{5da8c5c0019e47d78e3c68239ce0bc05,
title = "Phase correlation imaging of unlabeled cell dynamics",
abstract = "We present phase correlation imaging (PCI) as a novel approach to study cell dynamics in a spatially-resolved manner. PCI relies on quantitative phase imaging time-lapse data and, as such, functions in label-free mode, without the limitations associated with exogenous markers. The correlation time map outputted in PCI informs on the dynamics of the intracellular mass transport. Specifically, we show that PCI can extract quantitatively the diffusion coefficient map associated with live cells, as well as standard Brownian particles. Due to its high sensitivity to mass transport, PCI can be applied to studying the integrity of actin polymerization dynamics. Our results indicate that the cyto-D treatment blocking the actin polymerization has a dominant effect at the large spatial scales, in the region surrounding the cell. We found that PCI can distinguish between senescent and quiescent cells, which is extremely difficult without using specific markers currently. We anticipate that PCI will be used alongside established, fluorescence-based techniques to enable valuable new studies of cell function.",
author = "Lihong Ma and Gannavarpu Rajshekhar and Ru Wang and Basanta Bhaduri and Shamira Sridharan and Mustafa Mir and Arindam Chakraborty and Rajashekar Iyer and Supriya Prasanth and Larry Millet and Gillette, {Martha U.} and Gabriel Popescu",
year = "2016",
month = "9",
day = "12",
doi = "10.1038/srep32702",
language = "English (US)",
volume = "6",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Phase correlation imaging of unlabeled cell dynamics

AU - Ma, Lihong

AU - Rajshekhar, Gannavarpu

AU - Wang, Ru

AU - Bhaduri, Basanta

AU - Sridharan, Shamira

AU - Mir, Mustafa

AU - Chakraborty, Arindam

AU - Iyer, Rajashekar

AU - Prasanth, Supriya

AU - Millet, Larry

AU - Gillette, Martha U.

AU - Popescu, Gabriel

PY - 2016/9/12

Y1 - 2016/9/12

N2 - We present phase correlation imaging (PCI) as a novel approach to study cell dynamics in a spatially-resolved manner. PCI relies on quantitative phase imaging time-lapse data and, as such, functions in label-free mode, without the limitations associated with exogenous markers. The correlation time map outputted in PCI informs on the dynamics of the intracellular mass transport. Specifically, we show that PCI can extract quantitatively the diffusion coefficient map associated with live cells, as well as standard Brownian particles. Due to its high sensitivity to mass transport, PCI can be applied to studying the integrity of actin polymerization dynamics. Our results indicate that the cyto-D treatment blocking the actin polymerization has a dominant effect at the large spatial scales, in the region surrounding the cell. We found that PCI can distinguish between senescent and quiescent cells, which is extremely difficult without using specific markers currently. We anticipate that PCI will be used alongside established, fluorescence-based techniques to enable valuable new studies of cell function.

AB - We present phase correlation imaging (PCI) as a novel approach to study cell dynamics in a spatially-resolved manner. PCI relies on quantitative phase imaging time-lapse data and, as such, functions in label-free mode, without the limitations associated with exogenous markers. The correlation time map outputted in PCI informs on the dynamics of the intracellular mass transport. Specifically, we show that PCI can extract quantitatively the diffusion coefficient map associated with live cells, as well as standard Brownian particles. Due to its high sensitivity to mass transport, PCI can be applied to studying the integrity of actin polymerization dynamics. Our results indicate that the cyto-D treatment blocking the actin polymerization has a dominant effect at the large spatial scales, in the region surrounding the cell. We found that PCI can distinguish between senescent and quiescent cells, which is extremely difficult without using specific markers currently. We anticipate that PCI will be used alongside established, fluorescence-based techniques to enable valuable new studies of cell function.

UR - http://www.scopus.com/inward/record.url?scp=84987784650&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84987784650&partnerID=8YFLogxK

U2 - 10.1038/srep32702

DO - 10.1038/srep32702

M3 - Article

C2 - 27615512

AN - SCOPUS:84987784650

VL - 6

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 32702

ER -