Label-free quantification of cell-to-substrate separation by surface plasmon resonance microscopy

Taehwang Son, Jinwon Seo, In Hong Choi, Donghyun Kim

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We study surface plasmon resonance microscopy (SPRM) for label-free quantification of cell-to-substrate separation. We have established a depth extraction model in which we compare a layered cell substrate model with resonance characteristics obtained by SPRM. We have applied the model to human aortic endothelial cell (HAEC) culture and determined the separation distance to be 40–60 nm. We have also investigated the precision of the SPRM model associated with the deviation in the model parameters, which is estimated to be 15 nm. The results can serve as the basis for more extensive cell-to-surface studies in a massive and automated way.

Original languageEnglish
Pages (from-to)64-68
Number of pages5
JournalOptics Communications
Volume422
DOIs
Publication statusPublished - 2018 Sep 1

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Surface plasmon resonance
surface plasmon resonance
Labels
Microscopic examination
microscopy
Substrates
cells
Endothelial cells
Cell culture
deviation

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Physical and Theoretical Chemistry

Cite this

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abstract = "We study surface plasmon resonance microscopy (SPRM) for label-free quantification of cell-to-substrate separation. We have established a depth extraction model in which we compare a layered cell substrate model with resonance characteristics obtained by SPRM. We have applied the model to human aortic endothelial cell (HAEC) culture and determined the separation distance to be 40–60 nm. We have also investigated the precision of the SPRM model associated with the deviation in the model parameters, which is estimated to be 15 nm. The results can serve as the basis for more extensive cell-to-surface studies in a massive and automated way.",
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Label-free quantification of cell-to-substrate separation by surface plasmon resonance microscopy. / Son, Taehwang; Seo, Jinwon; Choi, In Hong; Kim, Donghyun.

In: Optics Communications, Vol. 422, 01.09.2018, p. 64-68.

Research output: Contribution to journalArticle

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