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 journalArticlepeer-review

11 Citations (Scopus)


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
Publication statusPublished - 2018 Sep 1

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation (NRF) grants funded by the Korean Government (NRF- 2012R1A4A1029061 and 2015R1A2A1A10052826 ).

Publisher Copyright:
© 2017 Elsevier B.V.

All Science Journal Classification (ASJC) codes

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


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